仿生智能 · 全部实体（第 36 / 100 页）

本页收录第 3501–3600 条，共 10000 条 · 返回 仿生智能 首页

• Modeling the Heterodimer Interfaces of Melatonin Receptors
  Melatonin receptors are Class A G protein-coupled receptors (GPCRs) that regulate a plethora of physiological activities in response to the rhythmic secretion of melatonin from the pineal gland. Melatonin is a key regulator in the control of circadian rhythm a…
  openalex Lap Hang Tse, Yung Hou Wong 2021-10-07 置信度 0.72 MelatoninReceptorG protein-coupled receptorMelatonin receptorBiology
• A Novel Asynchronous Brain Signals-Based Driver–Vehicle Interface for Brain-Controlled Vehicles
  Directly applying brain signals to operate a mobile manned platform, such as a vehicle, may help people with neuromuscular disorders regain their driving ability. In this paper, we developed a novel electroencephalogram (EEG) signal-based driver-vehicle interf…
  openalex Jinling Lian, Yanli Guo, Xin Qiao, Changyong Wang 等 2023-09-21 置信度 0.72 Asynchronous communicationBrain–computer interfaceComputer scienceInterface (matter)Automotive engineering
• Modeling Substrate Entry into the P-Glycoprotein Efflux Pump at the Blood–Brain Barrier
  We report molecular dynamics simulations of rhodamine entry into the central binding cavity of P-gp in the inward open conformation. Rhodamine can enter the inner volume via passive transport across the luminal membrane or lateral diffusion in the lipid bilaye…
  openalex Christian Jorgensen, Martin B. Ulmschneider, Peter C. Searson 2023-12-14 置信度 0.72 ChemistryBiophysicsSteric effectsRhodamineSubstrate (aquarium)
• DeepMapi: a Fully Automatic Registration Method for Mesoscopic Optical Brain Images Using Convolutional Neural Networks
  The extreme complexity of mammalian brains requires a comprehensive deconstruction of neuroanatomical structures. Scientists normally use a brain stereotactic atlas to determine the locations of neurons and neuronal circuits. However, different brain images ar…
  openalex Hong Ni, Zhao Feng, Yue Guan, Xueyan Jia 等 2020-08-04 置信度 0.72 Computer scienceArtificial intelligenceBrain atlasConvolutional neural networkMesoscopic physics
• Immunity in neuromodulation: probing neural and immune pathways in brain disorders
  Immunity finely regulates brain function. It is directly involved in the pathological processes of neurodegenerative diseases such as Parkinson's and Alzheimer's disease, post-stroke conditions, multiple sclerosis, traumatic brain injury, and psychiatric disor…
  openalex Camille M. Hours, Pia Vayssière, Pierre Gressèns, Mireille Laforge 2025-04-28 置信度 0.72 NeuromodulationNeuroscienceNeurologyImmune systemNeuroimmunology
• Management of adult patients with ascites due to cirrhosis
  This guideline has been approved by the AASLD and represents the position of the Association. These recommendations provide a data-supported approach. They are based on the following: (1) formal review and analysis of the recently-published world literature on…
  openalex Bruce A. Runyon 2009-01-23 置信度 0.72 MedicineGuidelineMEDLINECirrhosisAscites
• ML model for fatigue prediction in brain-computer interface applications through SSVEP analysis
  Abstract Fatigue assessment is crucial in brain-computer interface (BCI) applications, as it helps ensure the reliability, safety, and effectiveness of the system. Objective methods for fatigue assessment using electroencephalogram (EEG) analysis provide valua…
  openalex Yantao Tao 2025-09-19 置信度 0.72 Fractal dimensionBrain–computer interfaceComputer scienceFractal analysisArtificial intelligence
• Modeling macroscopic brain dynamics with brain-inspired computing architecture
  Understanding the brain requires modeling large-scale neural dynamics, where coarse-grained modeling of macroscopic brain behaviors is a powerful paradigm for linking brain structure to function with empirical data. However, the model inversion process remains…
  openalex Zhong Zheng, Jing Wei, Yi Xu, C.L. Li 等 2025-10-24 置信度 0.72 Computer scienceExploitBridging (networking)Process (computing)Reservoir computing
• Deep learning and radiomics in precision medicine
  INTRODUCTION: The radiological reading room is undergoing a paradigm shift to a symbiosis of computer science and radiology using artificial intelligence integrated with machine and deep learning with radiomics to better define tissue characteristics. The goal…
  openalex Vishwa S. Parekh, Michael A. Jacobs 2019-03-04 置信度 0.72 Deep learningArtificial intelligenceComputer scienceRadiomicsConvolutional neural network
• Neuro-Nonsense: Why Ulysses Contracts don't Compute in Brain-Computer Interface Research
  Abstract Brain-computer interface research is an interdisciplinary field aiming to establish direct communication between the brain and external devices and holds great promise for assistive technology and healthcare. Ethical issues have been covered for years…
  openalex Daniel J. Hurst, Christopher Bobier, Christopher A. Bobier 2025-08-01 置信度 0.72 Brain–computer interfaceAutonomyContext (archaeology)ParallelsNeuroethics
• Bridging Mind and Machine: Large Language Models in Next Generation Brain Computer Interfaces
  Brain Computer Interfaces (BCIs) have advanced from experimental research to translational applications in communication, rehabilitation, and human machine interaction. Yet, BCIs face fundamental challenges like decoding high-dimensional, noisy neural data, pr…
  openalex Gopichand Agnihotram, Joydeep Sarkar, Magesh Kasthuri 2025-09-25 置信度 0.72 Bridging (networking)Computer scienceBrain–computer interfaceHuman–computer interactionTransformative learning
• Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with The Virtual Brain
  Abstract Deep brain stimulation (DBS) has been successfully applied in various neurodegenerative diseases as an effective symptomatic treatment. However, its mechanisms of action within the brain network are still poorly understood. Many virtual DBS models ana…
  openalex J. Meier, Dionysios Perdikis, André Blickensdörfer, Leon Stefanovski 等 2021-05-05 置信度 0.72 Deep brain stimulationBasal gangliaNeuroscienceComputer scienceNeuroinformatics
• Quantum Computers Supported Path to Technological Singularity – A Predictive Analysis
  Purpose: There is a need to establish a comprehensive conceptual framework that focuses on the synergies between quantum computing and technological singularities. The quest is to unfold an investigation on how quantum computers play a pivotal role in supporti…
  openalex P. S. Aithal, Shubhrajyotsna Aithal 2025-06-30 置信度 0.72 SingularityComputer scienceIntersection (aeronautics)Quantum computerTransformative learning
• An Application-Driven Survey on Event-Based Neuromorphic Computer Vision
  Traditional frame-based cameras, despite their effectiveness and usage in computer vision, exhibit limitations such as high latency, low dynamic range, high power consumption, and motion blur. For two decades, researchers have explored neuromorphic cameras, wh…
  openalex Dario Cazzato, Flavio Bono 2024-08-09 置信度 0.72 Neuromorphic engineeringEvent (particle physics)Computer scienceArtificial intelligenceComputer graphics (images)
• Magnetoencephalography in Stroke Recovery and Rehabilitation
  Magnetoencephalography (MEG) is a non-invasive neurophysiological technique used to study the cerebral cortex. Currently, MEG is mainly used clinically to localize epileptic foci and eloquent brain areas in order to avoid damage during neurosurgery. MEG might,…
  openalex Andrea Paggiaro, Niels Birbaumer, Marianna Cavinato, Cristina Turco 等 2016-03-31 置信度 0.72 NeurorehabilitationMagnetoencephalographyNeuroplasticityRehabilitationNeuroscience
• Brain Tumor Detection Using a Deep CNN Model
  The diagnosis of brain tumors through magnetic resonance imaging (MRI) has become highly significant in the field of medical science. Relying solely on MR imaging for the detection and categorization of brain tumors demands significant time, effort, and expert…
  openalex Sonia Ben Brahim, Samia Dardouri, Ridha Bouallègue 2024-01-01 置信度 0.72 Computer scienceConvolutional neural networkArtificial intelligenceDeep learningBrain tumor
• Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression
  openalex Sapolnach Prompiengchai, Katharine Dunlop 2024-07-01 置信度 0.72 Depression (economics)PsychologyNeurosciencePsychiatryMedicine
• Neuralink's Brain-Machine Interfaces: A New Frontier in Healthcare Transformation
  Neuralink is one of the premier companies in America that specializes in the BMI technology the firm is revolutionizing the healthcare industry. This journal analyzes whether BMIs developed by Neuralink have benefits in the medical industry and can enhance it …
  openalex Seun Adeoye, Russel Adams 2025-01-14 置信度 0.72 Health careCorporationFrontierHealthcare industryProcess (computing)
• Advancing through the blood-brain barrier: mechanisms, challenges and drug delivery strategies
  Background and purpose: The delivery of therapeutics to the central nervous system (CNS) remains a major challenge due to the restrictive nature of the blood-brain barrier (BBB), a key evolutionary feature that preserves brain homeostasis. This review seeks to…
  openalex Ronny Vargas, Noelia Martínez-Martínez, Catalina Lizano-Barrantes, Jorge Andrés Pacheco Molina 等 2025-10-19 置信度 0.72 MedicineEngineering ethicsDrug deliveryRisk analysis (engineering)Work (physics)
• Recent Advances in Flexible Sensors for Neural Interfaces: Multimodal Sensing, Signal Integration, and Closed-Loop Feedback
  The rapid advancement of flexible sensor technology has profoundly transformed neural interface research, enabling multimodal information acquisition, real-time neurochemical and electrophysiological signal monitoring, and adaptive closed-loop regulation. This…
  openalex Siyi Yang, Xiujuan Qiao, Junlong Ma, Zhi-Hao Yang 等 2025-07-02 置信度 0.72 NeurochemicalComputer scienceInterface (matter)SIGNAL (programming language)Sensor fusion
• Disorders of Consciousness, Language and Communication Following Severe Brain Injury
  Patients with severe brain injuries and disorders of consciousness (DoC) represent a complex clinical population in terms of diagnosis, prognosis, and management, including critical ethical considerations. Behavioral assessment scales remain the primary tools …
  openalex Charlène Aubinet, Anaïs Gillet, Amandine Regnier 2025-01-01 置信度 0.72 PsychologyConsciousnessPersistent vegetative stateCognitive psychologyLinguistics
• Design of a Human–Computer Interaction Method for Intelligent Electric Vehicles
  In order to improve the satisfaction of users during the human–machine interaction with intelligent electric vehicles, this paper presents the human–machine interaction method of intelligent electric vehicles. Firstly, the principle of human–computer interacti…
  openalex Tao Ba, Shan Li, Ying Gao, Shijun Wang 2022-09-29 置信度 0.72 VisualizationComputer scienceHuman–computer interactionInterface (matter)Mechanism (biology)
• The potential of robotics: A systematic review of neuroplastic changes following advanced lower limb rehabilitation in neurological disorders
  Neurological diseases are among the most common pathologies that strongly influence a person's ability to walk and move, affecting the lower extremities. They disrupt motor brain networks that enable precise movement, leading to deficits in gait, balance, and …
  pubmed Rocco Salvatore Calabrò, Andrea Calderone, Laura Simoncini, Antonino Naro 等 2025-11-08 置信度 0.82 NeuroplasticityPhysical medicine and rehabilitationRehabilitationNeuromodulationMedicine
• Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications
  This paper provides a comprehensive study of Federated Learning (FL) with an emphasis on enabling software and hardware platforms, protocols, real-life applications and use-cases. FL can be applicable to multiple domains but applying it to different industries…
  openalex Mohammed Aledhari, Rehma Razzak, Reza M. Parizi, Fahad Saeed 2020-01-01 置信度 0.72 Computer scienceUploadServerField (mathematics)Key (lock)
• Robust Speech Recognition via Large-Scale Weak Supervision
  We study the capabilities of speech processing systems trained simply to predict large amounts of transcripts of audio on the internet. When scaled to 680,000 hours of multilingual and multitask supervision, the resulting models generalize well to standard ben…
  openalex Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman 等 2022-12-06 置信度 0.72 Computer scienceInferenceRobustness (evolution)Speech recognitionSpeech processing
• A scoping review of automatic and semi-automatic MRI segmentation in human brain imaging
  INTRODUCTION: AI-based segmentation techniques in brain MRI have revolutionized neuroimaging by enhancing the accuracy and efficiency of brain structure analysis. These techniques are pivotal for diagnosing neurodegenerative diseases, classifying psychiatric c…
  openalex Minh Chau, Han X. Vu, Tanmoy Debnath, Md Geaur Rahman 2025-01-31 置信度 0.72 SegmentationSemi automaticArtificial intelligenceComputer scienceNeuroimaging
• The effectiveness of digital cognitive intervention in patients with traumatic brain injury: systematic review and meta-analysis
  Objective This meta-analysis aims to quantitatively evaluate the effects of digital cognitive intervention (non-immersive computer- and immersive virtual reality (VR)-based) on cognitive function and psychosocial outcomes in patients with traumatic brain injur…
  openalex Kejia Chi, Jiangfeng Chen, Shiwei Zhou, Zhen Han 2025-10-07 置信度 0.72 CognitionIntervention (counseling)MedicineCognitive rehabilitation therapyTraumatic brain injury
• IvoryOS: an interoperable web interface for orchestrating Python-based self-driving laboratories
  Self-driving laboratories (SDLs), powered by robotics, automation and artificial intelligence, accelerate scientific discoveries through autonomous experimentation. However, their adoption and transferability are limited by the lack of standardized software ac…
  openalex Wenyu Zhang, Lucy Hao, Veronica Lai, Ryan Corkery 等 2025-06-04 置信度 0.72 Computer scienceInteroperabilityWorkflowPython (programming language)Software engineering
• Neurofeedback with low-cost, wearable electroencephalography (EEG) reduces symptoms in chronic Post-Traumatic Stress Disorder
  BACKGROUND: The study examines the effectiveness of both neurofeedback and motor-imagery brain-computer interface (BCI) training, which promotes self-regulation of brain activity, using low-cost electroencephalography (EEG)-based wearable neurotechnology outsi…
  openalex Naomi du Bois, Alain Desire Bigirimana, Attila Korik, L. Gaju Kéthina 等 2021-08-31 置信度 0.72 NeurofeedbackElectroencephalographyBrain–computer interfaceSensorimotor rhythmPhysical medicine and rehabilitation
• Two Seconds to Speak: Increasing Communication Speed for fMRI-Based Brain–Computer Interfaces
  Background: Brain–computer interfaces (BCIs) can provide alternative, motor-independent means of communication for people who have lost motor function. A promising variant is the functional magnetic resonance imaging (fMRI)-based BCI, which exploits informatio…
  openalex Daniëlle Evenblij, Michael Lührs, Reebal W. Rafeh, Amaia Benitez-Andonegui 等 2025-09-16 置信度 0.72 Decoding methodsBrain–computer interfaceComputer scienceTask (project management)Functional magnetic resonance imaging
• Brain health is a human right: Implications for policy and research
  The call to synergize brain health with mental health has major ramifications for research and policy. Mental health has been recognized as a universal human right, but no such declaration exists for brain health. Here, I defend the right to lifelong brain hea…
  openalex Timothy Daly 2025-02-01 置信度 0.72 NeuroscienceBrain researchPsychologyCognitive psychology
• Promises and performance in brain–machine interfaces: will AI be our saviour?
  Abstract Brain–machine interfaces (BMIs) have advanced rapidly in the past decade, yet translating prototypes into everyday use remains elusive. This review critically compares three different approaches—Meta’s non-invasive neural wristband, the minimal cortic…
  openalex Pearl Saldanha, Melvin Erasmus Vaupel, Benjamin Dunn, Jonathan R. Whitlock 2026-04-01 置信度 0.72 NoveltyComputer scienceMainstreamPosition paperData science
• Wafer-scale fabrication of memristive passive crossbar circuits for brain-scale neuromorphic computing
  Memristive passive crossbar circuits hold great promise for neuromorphic computing, offering high integration density combined with massively parallel operation. However, scaling up the integration complexity of such circuits remains challenging due to low dev…
  openalex Sanghyeon Choi, Sai Sukruth Bezugam, Tinish Bhattacharya, Dongseok Kwon 等 2025-10-01 置信度 0.72 Neuromorphic engineeringCrossbar switchMemristorComputer scienceScalability
• Taming Prolonged Ionic Drift–Diffusion Dynamics for Brain‐Inspired Computation
  Abstract Recent advances in neural network‐based computing have enabled human‐like information processing in areas such as image classification and voice recognition. However, many neural networks run on conventional computers that operate at GHz clock frequen…
  openalex Hisashi Inoue, Hiroto Tamura, Ai Kitoh, Xiangyu Chen 等 2024-11-27 置信度 0.72 Neuromorphic engineeringTransistorArtificial neural networkMaterials scienceScalability
• Fast nosological imaging using canonical correlation analysis of brain data obtained by two‐dimensional turbo spectroscopic imaging
  A new fast and accurate tissue typing technique has recently been successfully applied to prostate MR spectroscopic imaging (MRSI) data. This technique is based on canonical correlation analysis (CCA), a statistical method able to simultaneously exploit the sp…
  openalex Teresa Laudadio, M. Carmen Martínez‐Bisbal, Bernardo Celda, Sabine Van Huffel 2007-10-01 置信度 0.72 Canonical correlationTurboCorrelationRobustness (evolution)Pattern recognition (psychology)
• A comprehensive review on adaptive plasticity and recovery mechanisms post‐acquired brain injury
  Abstract Adaptive plasticity, the brain's ability to reorganize and form new neural connections after injury, is crucial for recovery following acquired brain injury (ABI). This process involves axonal sprouting, dendritic remodeling, and neurogenesis, which r…
  openalex Ravi Kumar Rajan 2025-06-08 置信度 0.72 NeuroscienceNeuroplasticityPlasticityPsychologyPhysics
• Enhancing Accessibility in Education Through Brain–Computer Interfaces: A Scoping Review on Inclusive Learning Approaches
  Brain–computer interfaces (BCIs) hold promise in enhancing accessibility in education by enabling students with physical disabilities to interact with digital learning environments without barriers. However, no comprehensive review has explored the landscape a…
  openalex Mohammed Abdulmawjood, Kiemute Oyibo 2025-09-19 置信度 0.72 Generalizability theoryPsychologyPsychological interventionAdaptabilityEngineering ethics
• How AI is rewiring the human brain: the generational transformation of cognition and knowing
  Abstract This Open Forum paper examines how artificial intelligence (AI) is transforming not only what humans know but how knowledge itself is constructed, remembered and valued. It argues that AI has evolved from a tool of efficiency into an epistemic infrast…
  openalex Hans Westerbeek 2026-02-12 置信度 0.72 Cognitive scienceAmbiguityCognitionConsciousnessGenerative grammar
• Brain Development and the Law
  This open access book is the first to offer a systematic overview of the different methods for assessing brain development
  openalex Stephan Schleim 2024-12-06 置信度 0.72 Cognitive sciencePolitical scienceLawPsychology
• Could adaptive deep brain stimulation treat freezing of gait in Parkinson’s disease?
  Next-generation neurostimulators capable of running closed-loop adaptive deep brain stimulation (aDBS) are about to enter the clinical landscape for the treatment of Parkinson's disease. Already promising results using aDBS have been achieved for symptoms such…
  openalex Philipp Klocke, M. Loeffler, Simon J.G. Lewis, Alireza Gharabaghi 等 2025-03-12 置信度 0.72 Deep brain stimulationParkinson's diseasePhysical medicine and rehabilitationGaitNeurology
• Will adaptive deep brain stimulation for Parkinson’s disease become a real option soon? A Delphi consensus study
  While conventional deep brain stimulation (cDBS) treatment delivers continuous electrical stimuli, new adaptive DBS (aDBS) technology provides dynamic symptom-related stimulation. Research data are promising, and devices are already available, but are we ready…
  openalex Matteo Guidetti, Tommaso Bocci, Marta De Pedro Del Álamo, Günther Deuschl 等 2025-05-05 置信度 0.72 Parkinson's diseaseDeep brain stimulationMedicineBrain stimulationNeuroscience
• Neurorights – Do we Need New Human Rights? A Reconsideration of the Right to Freedom of Thought
  Abstract Progress in neurotechnology and Artificial Intelligence (AI) provides unprecedented insights into the human brain. There are increasing possibilities to influence and measure brain activity. These developments raise multifaceted ethical and legal ques…
  openalex Nora Hertz 2022-11-23 置信度 0.72 Human rightsInternational Covenant on Civil and Political RightsInterpretation (philosophy)NormativeFreedom of thought
• A Review of the Role of Artificial Intelligence in Healthcare
  Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses on the following key aspects: (i) medical imaging and diagnostics, (ii) virtual patien…
  openalex Ahmed Al Kuwaiti, Khalid Nazer, Abdullah H. Alreedy, Shaher D AlShehri 等 2023-06-05 置信度 0.72 Health careCorporate governanceMedicineAccountabilityKnowledge management
• Dynamical constraints on neural population activity
  The manner in which neural activity unfolds over time is thought to be central to sensory, motor and cognitive functions in the brain. Network models have long posited that the brain’s computations involve time courses of activity that are shaped by the underl…
  openalex Emily R. Oby, Alan D. Degenhart, Erinn M. Grigsby, Asma Motiwala 等 2025-01-17 置信度 0.72 NeurosciencePopulationNeuroscientistNeural activityPsychology
• ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI
  Functional magnetic resonance imaging (fMRI) has been increasingly employed to investigate functional brain activity. Many fMRI-related software/toolboxes have been developed, providing specialized algorithms for fMRI analysis. However, existing toolboxes seld…
  openalex Yuqi Fang, Junhao Zhang, Limin Wang, Qianqian Wang 等 2024-12-21 置信度 0.72 ToolboxAction (physics)Computer scienceComputationFunctional connectivity
• Adversarial robust EEG-based brain–computer interfaces using a hierarchical convolutional neural network
  Brain-Computer Interfaces (BCIs) based on electroencephalography (EEG) are widely used in motor rehabilitation, assistive communication, and neurofeedback due to their non-invasive nature and ability to decode movement-related neural activity. Recent advances …
  openalex Jebin Samuel, Tamilarasi Kathirvel Murugan, Logeswari Govindaraj, M. Balaji 等 2026-01-30 置信度 0.72 Computer scienceBrain–computer interfaceConvolutional neural networkAdversarial systemArtificial intelligence
• An optical brain-machine interface reveals a causal role of posterior parietal cortex in goal-directed navigation
  Cortical circuits contain diverse sensory, motor, and cognitive signals, and they form densely recurrent networks. This creates challenges for identifying causal relationships between neural populations and behavior. We develop a calcium-imaging-based brain-ma…
  openalex Ethan Sorrell, Daniel E. Wilson, Michael E. Rule, Helen Yang 等 2025-07-01 置信度 0.72 Posterior parietal cortexNeuroscienceInterface (matter)Cortex (anatomy)Computer science
• A review of artificial intelligence-based brain age estimation and its applications for related diseases
  The study of brain age has emerged over the past decade, aiming to estimate a person's age based on brain imaging scans. Ideally, predicted brain age should match chronological age in healthy individuals. However, brain structure and function change in the pre…
  openalex Mohamed Azzam, Ziyang Xu, Ruobing Liu, Lie Li 等 2024-10-22 置信度 0.72 Brain agingNeuroimagingBrain functionCognitionBrain Structure and Function
• But do we need high bandwidth? Applications and scaling challenges of invasive brain–computer interfaces
  Invasive brain-computer interfaces (iBCIs) have expanded from single to thousands of channels, primarily driven by the goal to restore autonomy and social participation for people with severe neurological impairment. This article evaluates whether this increas…
  europepmc Luca M Meyer, Majid Zamani 2026 置信度 0.80 Computer scienceBottleneckBandwidth (computing)Embodied cognitionLatency (audio)
• Are brain–machine interfaces the real experience machine? Exploring the libertarian risks of brain–machine interfaces
  Abstract This paper examines the implications of brain–machine interfaces (BMIs) from a libertarian perspective, arguing that their widespread use necessitates careful scrutiny due to potential risks to individual autonomy, freedom, privacy, and dignity. BMIs,…
  openalex Jorge Mateus 2025-02-21 置信度 0.72 Brain–computer interfaceComputer sciencePerforming artsHuman–computer interactionPsychology
• Artificial intelligence and automation in endoscopy and surgery
  openalex François Chadebecq, Laurence Lovat, Danail Stoyanov 2022-11-09 置信度 0.72 MedicineAutomationArtificial intelligenceRobotic surgeryEndoscopy
• Reconnecting Brain Networks After Stroke: A Scoping Review of Conventional, Neuromodulatory, and Feedback-Driven Rehabilitation Approaches
  Background: Stroke leads to lasting disability by disrupting the connectivity of functional brain networks. Although several rehabilitation methods are promising, our full understanding of how these strategies restore network function is still limited. Methods…
  openalex Jan A. Kuipers, Norman Hoffman, Frederick Robert Carrick, Monèm Jemni 2025-09-29 置信度 0.72 RehabilitationPhysical medicine and rehabilitationCognitionTranscranial direct-current stimulationNeuromodulation
• The concept of biophotonic signaling in the human body and brain: rationale, problems and directions
  This perspective piece presents the concept of the role and mechanisms of cells' electromagnetic communication. These data deepen the scientific understanding of the fundamental aspects of the phenomenon of human life. A promising model of biophoton signaling …
  openalex Ганна Володимирівна Невойт, Kristina Poderienė, Maksim Potyazhenko, О. П. Мінцер 等 2025-06-23 置信度 0.72 NeuroscienceCognitive scienceHuman brainPsychology
• The Neurodata Without Borders ecosystem for neurophysiological data science
  The neurophysiology of cells and tissues are monitored electrophysiologically and optically in diverse experiments and species, ranging from flies to humans. Understanding the brain requires integration of data across this diversity, and thus these data must b…
  openalex Oliver Rübel, Andrew Tritt, Ryan Ly, Ben Dichter 等 2022-05-16 置信度 0.72 NeurophysiologyEcosystemNeuroscienceEnvironmental scienceData science
• Brain organoid model systems of neurodegenerative diseases: recent progress and future prospects
  Neurological diseases are a leading cause of disability, morbidity, and mortality, affecting 43% of the world's population. The detailed study of neurological diseases, testing of drugs, and repair of site-specific defects require physiologically relevant mode…
  openalex Saniyah Shaikh, Luqman Siddique, Hafsah Tajammul Khalifey, Rutaba Mahereen 等 2025-05-23 置信度 0.72 OrganoidNeuroscienceContext (archaeology)DiseaseMedicine
• Spiking Neural Networks for Multimodal Neuroimaging: A Comprehensive Review of Current Trends and the NeuCube Brain-Inspired Architecture
  Artificial intelligence (AI) is revolutionising neuroimaging by enabling automated analysis, predictive analytics, and the discovery of biomarkers for neurological disorders. However, traditional artificial neural networks (ANNs) face challenges in processing …
  openalex Omar Garcia-Palencia, Justin Fernandez, Vickie Shim, Nikola Kasabov 等 2025-06-09 置信度 0.72 NeuroimagingNeuroscienceComputer scienceArchitectureArtificial intelligence
• Cortical modulation through robotic gait training with motor imagery brain-computer interface enhances bladder function in individuals with spinal cord injury
  Neurogenic bladder (NB) dysfunction in individuals with complete spinal cord injury (SCI) is a condition that significantly affects quality of life. Despite the prevalence of interventions, there is a substantial gap in effective treatments for this dysfunctio…
  pubmed E. Serafini, Cristian David Guerrero-Méndez, Cristian Felipe Blanco-Díaz, Fernando da Silva Fiorin 等 2025 Oct 3 置信度 0.82 Spinal cord injuryMotor imageryPhysical medicine and rehabilitationMedicineBrain–computer interface
• MOSFET dosimetry for microbeam radiation therapy at the European Synchrotron Radiation Facility
  Preclinical experiments are carried out with approximately 20-30 microm wide, approximately 10 mm high parallel microbeams of hard, broad-"white"-spectrum x rays (approximately 50-600 keV) to investigate microbeam radiation therapy (MRT) of brain tumors in inf…
  openalex Elke Bräuer‐Krisch, Alberto Bravin, Michael Lerch, Anatoly Rosenfeld 等 2003-03-25 置信度 0.72 MicrobeamDosimetryMonte Carlo methodImaging phantomNuclear medicine
• Redesigning the secondary–tertiary interface: Queensland Review of Senior Assessment and Tertiary Entrance
  A general conclusion of this Review is that senior secondary assessment and tertiary entrance in Queensland are in need of attention. It is more than twenty years since the current OP system was designed, and the broad features of the senior assessment system …
  openalex Gabrielle Matters, Geoff N Masters 2014-01-01 置信度 0.72 Interface (matter)Higher educationTertiary careLibrary scienceEngineering
• Clinical Efficacy of Motor Imagery-Based Brain-Computer Interface Collaborative Training Combined with Conventional Rehabilitation Therapy on Subacute Stroke Patients with Hemiplegia
  Objective To observe the effects of motor imagery (MI)-based brain-computer interface (BCI) collaborative training on subacute stroke patients with hemiplegia. Methods A total of 40 stroke patients with hemiplegia hospitalized in the Hebei General Hospital fro…
  openalex Wendong Zhang, Xiaolu Liu, Yanning Yan, Zengxin SUN 等 2025-04-01 置信度 0.72 Physical medicine and rehabilitationMotor imageryRehabilitationStroke (engine)Medicine
• Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends
  openalex Syed Agha Hassnain Mohsan, Nawaf Qasem Hamood Othman, Yanlong Li, Mohammed H. Alsharif 等 2023-01-16 置信度 0.72 DroneComputer sciencePayload (computing)OperabilityRisk analysis (engineering)
• Brain photobiomodulation: a potential treatment in Alzheimer’s and Parkinson’s diseases
  Alzheimer's Disease (AD) and Parkinson's Disease (PD) are common neurodegenerative diseases, characterized by the progressive loss of synapses and neurons, leading to cognitive and motor decline. Their pathophysiology includes cerebral lesions, oxidative stres…
  openalex Guillaume Blivet, Benjamin Touchon, Hugo Cavadore, Sara Guillemin 等 2025-04-25 置信度 0.72 NeuroscienceParkinson's diseaseMedicinePsychologyDisease
• Brain-Computer Interfaces at the Intersection of Innovation and U.S. Constitutional Law: A Literature Review and Case Law Perspective
  Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices, offering transformative applications in assistive technology, communication, and cognitive enhancement. First conceptualised by UCLA scientist Jacques Vidal in…
  openalex Ryan A. Chang 2025-09-30 置信度 0.72 Transformative learningPerspective (graphical)LegislationContext (archaeology)Sociology
• Personalized whole-brain neural mass models reveal combined Aβ and tau hyperexcitable influences in Alzheimer’s disease
  Neuronal dysfunction and cognitive deterioration in Alzheimer's disease (AD) are likely caused by multiple pathophysiological factors. However, mechanistic evidence in humans remains scarce, requiring improved non-invasive techniques and integrative models. We…
  openalex Lazaro M. Sanchez-Rodriguez, Gleb Bezgin, Félix Carbonell, Joseph Therriault 等 2024-05-04 置信度 0.72 NeuroscienceNeuroimagingPremovement neuronal activityPsychologyBiomarker
• Three-dimensional direct laser writing of biomimetic neuron interfaces in the era of artificial intelligence: principles, materials, and applications
  The creation of biomimetic neuron interfaces (BNIs) has become imperative for different research fields from neural science to artificial intelligence. BNIs are two-dimensional or three-dimensional (3D) artificial interfaces mimicking the geometrical and funct…
  openalex Haoyi Yu, Qiming Zhang, Xi Chen, Haitao Luan 等 2022-06-07 置信度 0.72 Artificial neural networkArtificial neuronComputer scienceArtificial intelligenceFabrication
• Integrating AI-Driven Neurofeedback with Brain-Computer Interfaces: A Paradigm for Effortless Learning and Workforce Transformation
  The integration of advanced AI-driven neurofeedback systems with brain-computer interface (BCI) technology marks a transformative frontier in cognitive neuroscience and educational technology. Recent developments demonstrate the feasibility of interpreting cog…
  openalex James Hutson 2025-04-08 置信度 0.72 NeurofeedbackTransformation (genetics)Brain–computer interfaceWorkforceComputer science
• Hybrid model integration with explainable AI for brain tumor diagnosis: a unified approach to MRI analysis and prediction
  Effective treatment for brain tumors relies on accurate detection because this is a crucial health condition. Medical imaging plays a pivotal role in improving tumor detection and diagnosis in the early stage. This study presents two approaches to the tumor de…
  openalex D Vamsidhar, Parth Desai, Sagar Joshi, Shrikrishna Kolhar 等 2025-07-01 置信度 0.72 Computer scienceArtificial intelligenceBrain tumorMachine learningPathology
• The lab streaming layer for synchronized multimodal recording
  Accurately recording the interactions of humans or other organisms with their environment and other agents requires synchronized data access via multiple instruments, often running independently using different clocks. Active, hardware-mediated solutions are o…
  openalex C. Kothe, Seyed Yahya Shirazi, Tristan Stenner, David Medine 等 2025-01-01 置信度 0.72 Layer (electronics)Computer scienceStreaming currentApplication layerMultimedia
• Toward scalable fault-tolerant photonic quantum computers
  Abstract In the pursuit of scalable and fault-tolerant quantum computing architectures, photonic-based systems have emerged as a leading frontier. This comprehensive review examines recent advances across key industry and academic players—including iPronics, J…
  openalex M. AbuGhanem 2026-01-07 置信度 0.72 PhotonicsComputer scienceQuantum computerQuantumLeverage (statistics)
• Modeling and optimizing deep brain stimulation to enhance gait in Parkinson’s disease: personalized treatment with neurophysiological insights
  The effects of deep brain stimulation (DBS) on gait in Parkinson's disease (PD) are variable due to challenges in gait assessment and limited understanding of stimulation parameters' impacts on neural activity. We developed a data-driven approach to identify o…
  openalex Hamid Fekri Azgomi, Kenneth H. Louie, Jasbir Bath, Kara N. Presbrey 等 2025-06-18 置信度 0.72 Deep brain stimulationGaitParkinson's diseasePhysical medicine and rehabilitationNeurophysiology
• NeuroQuery, comprehensive meta-analysis of human brain mapping
  Reaching a global view of brain organization requires assembling evidence on widely different mental processes and mechanisms. The variety of human neuroscience concepts and terminology poses a fundamental challenge to relating brain imaging results across the…
  openalex Jérôme Dockès, Russell A. Poldrack, Romain Primet, Hande Gözükan 等 2020-03-04 置信度 0.72 NeuroimagingTerminologyInferenceComputer sciencePrior probability
• A Systematic Review of Neuroplasticity Induced by Brain–Computer Interface Combined with Virtual Reality (BCI-VR)
  Introduction: Stroke is a leading cause of permanent neurological disability, often accompanied by motor deficits that impair functionality and quality of life [...]
  openalex Maria F. C. Goulart, Victor I. Maciel, Isabele C. Mortari, Sávio C. Souza 等 2026-03-24 置信度 0.72 Virtual realityNeuroplasticityComputer scienceHuman–computer interactionInterface (matter)
• A Hybrid SSVEP and Triple RSVP Brain-Computer Interface for Spelling in Right-to-Left Non-Latin Scripts
  Brain-Computer Interfaces (BCIs) help individuals with severe disabilities communicate using brain activity. Most existing systems are designed for Latin alphabets and overlook the challenges of non-Latin and right-to-left (RTL) scripts (such as connected lett…
  openalex Fatemeh Javaheri, Mohammad Bagher Khodabakhshi, Rasool Baghbani 2025-10-14 置信度 0.72 Scripting languageComputer scienceBrain–computer interfaceInterface (matter)Rapid serial visual presentation
• Comparator-less PET data acquisition system using single-ended memory interface input receivers of FPGA
  In this study, we propose a linear field-programmable gate array (FPGA)-based charge measurement method by combining a charge-to-time converter (QTC) with a single-ended memory interface (SeMI) input receiver. The QTC automatically converts the input charge in…
  openalex Jun Yeon Won, Guen Bae Ko, Kyeong Yun Kim, Haewook Park 等 2020-04-03 置信度 0.72 Data acquisitionSilicon photomultiplierScannerDetectorComputer hardware
• A Visual Interface for Exploring Hypotheses About Neural Circuits
  One of the fundamental problems in neurobiological research is to understand how neural circuits generate behaviors in response to sensory stimuli. Elucidating such neural circuits requires anatomical and functional information about the neurons that are activ…
  openalex Sumit Kumar Vohra, Philipp Harth, Yasuko Isoe, Armin Bahl 等 2023-02-09 置信度 0.72 Computer scienceBiological neural networkSensory systemInterface (matter)Information processing
• Integrating active brain-computer interfaces (aBCIs) with passive BCIs (pBCIs) under different frustration levels
  The mental state of the users can significantly affect the performance of active brain-computer interfaces (aBCIs). In this work, we aim to adopt passive BCIs (pBCIs) to measure a typical mental state, frustration, which is much relevant to aBCIs. A novel para…
  openalex Xin Gao, Haipeng Lin, Xiaolong Wu, Dingguo Zhang 2025-12-05 置信度 0.72 Computer scienceFrustrationSupport vector machineArtificial intelligenceBrain–computer interface
• Systematic review and meta-analysis of augmented reality in medicine, retail, and games
  This paper presents a detailed review of the applications of augmented reality (AR) in three important fields where AR use is currently increasing. The objective of this study is to highlight how AR improves and enhances the user experience in entertainment, m…
  openalex Pranav Parekh, Shireen Patel, Nivedita Patel, Manan Shah 2020-09-16 置信度 0.72 Augmented realityEntertainmentComputer scienceMultimediaSoftware
• Reimagining mental health: the role of artificial intelligence and brain computer interfaces in advancing mental health care
  This review elucidates the transformative impact of artificial intelligence (AI) on the diagnosis and management of prevalent mental health conditions. It highlights real world applications that are currently augmenting clinical decisions and refining therapeu…
  openalex Shreevallabh A. Deshmukh, Namita Deshmukh, Avinash Borkar 2025-09-19 置信度 0.72 Transformative learningHumanityMental healthField (mathematics)Psychology
• Transcranial Alternating Current Stimulation (tACS) Mechanisms and Protocols
  Perception, cognition and consciousness can be modulated as a function of oscillating neural activity, while ongoing neuronal dynamics are influenced by synaptic activity and membrane potential. Consequently, transcranial alternating current stimulation (tACS)…
  openalex Amir Vala Tavakoli, Kyongsik Yun 2017-08-31 置信度 0.72 Transcranial alternating current stimulationNeuromodulationNeuroscienceTranscranial direct-current stimulationStimulation
• Mobile human brain imaging using functional ultrasound
  Imagine being able to study the human brain in real-world scenarios while the subject displays natural behaviors such as locomotion, social interaction, or spatial navigation. The advent of ultrafast ultrasound imaging brings us closer to this goal with functi…
  openalex Sadaf Soloukey, Luuk Verhoef, Frits Mastik, Michael Brown 等 2025-06-18 置信度 0.72 Functional magnetic resonance imagingNeuroimagingComputer scienceComputer visionBrain activity and meditation
• Brain-Based Learning Theory: An Online Course Design Model
  The development of a theoretical brain-based online course design model with potential transferability across course management systems in higher education is the problem for this study. Qualitative inquiry was the emergent design and consisted of an extensive…
  openalex Abreena Walker Tompkins 2007-01-01 置信度 0.72 AcronymCourse (navigation)Learning designComputer scienceOnline course
• Neurofeedback modulation of insula activity via MEG-based brain-machine interface: a double-blind randomized controlled crossover trial
  Insula activity has often been linked to pain perception, making it a potential target for therapeutic neuromodulation strategies such as neurofeedback. However, it is not known whether insula activity is under cognitive control and, if so, whether this activi…
  openalex Yuhao Wang, Ryohei Fukuma, Ben Seymour, Huixiang Yang 等 2025-05-21 置信度 0.72 InsulaNeurofeedbackCrossover studyRandomized controlled trialDouble blind
• A review of large language models and autonomous agents in chemistry
  Large language models (LLMs) have emerged as powerful tools in chemistry, significantly impacting molecule design, property prediction, and synthesis optimization. This review highlights LLM capabilities in these domains and their potential to accelerate scien…
  openalex Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White 2024-12-09 置信度 0.72 ChemistryComputer scienceBiochemical engineeringCognitive sciencePsychology
• A comprehensive review of Thermoelectric Generators: Technologies and common applications
  Power costs increasing, environmental pollution and global warming are issues that we are dealing with in the present time. To reduce their effects, scientists are focusing on improving energy harvesting-based power generators. Thermoelectric generators (TEGs)…
  openalex Nesrine Jaziri, A. Boughamoura, Jens Müller, Brahim Mezghani 等 2019-12-23 置信度 0.72 Thermoelectric generatorElectronicsEnergy harvestingAutomotive industryThermoelectric materials
• Deciphering Post-Stroke Sleep Disorders: Unveiling Neurological Mechanisms in the Realm of Brain Science
  Sleep disorders are the most widespread mental disorders after stroke and hurt survivors' functional prognosis, response to restoration, and quality of life. This review will address an overview of the progress of research on the biological mechanisms associat…
  openalex Pinqiu Chen, Wenyan Wang, Weikang Ban, Kecan Zhang 等 2024-03-25 置信度 0.72 NeuroscienceStroke (engine)RealmSleep (system call)Psychology
• Digital Twin Technology Challenges and Applications: A Comprehensive Review
  A digital twin is a virtual representation of a physical object or process capable of collecting information from the real environment to represent, validate and simulate the physical twin’s present and future behavior. It is a key enabler of data-driven decis…
  openalex Diego M. Botín-Sanabria, Adriana‐Simona Mihăiţă, Rodrigo E. Peimbert-García, Mauricio A. Ramírez-Moreno 等 2022-03-09 置信度 0.72 EnablingComputer scienceSystems engineeringKey (lock)Process (computing)
• Time-Distributed Attention Network for EEG-Based Motor Imagery Decoding From the Same Limb
  A brain-computer interface (BCI) based on motor imagery (MI) from the same limb can provide an intuitive control pathway but has received limited attention. It is still a challenge to classify multiple MI tasks from the same limb. The goal of this study is to …
  openalex Xuelin Ma, Shuang Qiu, Huiguang He 2022-01-01 置信度 0.72 ElectroencephalographyDecoding methodsMotor imageryPsychologyBrain–computer interface
• A Mobile AR Computer-Aided Diagnosis: 6 DoF Brain Tumor Pose Estimator Using a Fine-Tuned EfficientPose-Based Model
  Augmented reality (AR) technology is rapidly advancing, enabling interactive 3D virtual environments and fostering human interaction and participation. AR has made significant strides in medicine, particularly in medical imaging, leading to improved diagnostic…
  openalex Kahina Amara, Mohamed Amine Guerroudji, Oussama Kerdjidj, Nadia Zenati 等 2025-01-01 置信度 0.72 Computer scienceEstimatorComputer visionArtificial intelligencePose
• Thyroid Hormone T4 Alleviates Traumatic Brain Injury by Enhancing Blood–Brain Barrier Integrity
  Traumatic brain injury (TBI) disrupts the blood-brain barrier (BBB), resulting in increased permeability, neuronal loss, and cognitive dysfunction. This study investigates the therapeutic potential of thyroid hormone (T4) to reduce BBB dysfunction following mo…
  openalex Mayuri Khandelwal, Zhe Ying, Fernando Gómez‐Pinilla 2025-10-03 置信度 0.72 Traumatic brain injuryBlood–brain barrierNeuroprotectionTight junctionMedicine
• Investigating Past, Present, and Future Trends on Interface Between Marine and Medical Research and Development: A Bibliometric Review
  The convergence of marine sciences and medical studies has the potential for substantial advances in healthcare. This study uses bibliometric and topic modeling studies to map the progression of research themes from 2000 to 2023, with an emphasis on the interd…
  openalex Mehdi Zamani, Tetyana Melnychuk, Anton Eisenhauer, Ralph Gäbler 等 2025-01-10 置信度 0.72 Interface (matter)Data scienceRegional scienceEngineering ethicsGeography
• Multimodal fNIRS–EEG sensor fusion: Review of data-driven methods and perspective for naturalistic brain imaging
  Functional near-infrared spectroscopy (fNIRS), high-density diffuse optical tomography (HD-DOT), and electroencephalography (EEG) are established, cost-effective, and non-invasive neuroimaging techniques, whose integration represents a promising direction for …
  openalex Tomás Codina, Benjamin Blankertz, Alexander von Lühmann 2025-01-01 置信度 0.72 Computer scienceNeuroimagingArtificial intelligenceArtifact (error)Functional near-infrared spectroscopy
• Neural models for detection and classification of brain states and transitions
  Exploring natural or pharmacologically induced brain dynamics, such as sleep, wakefulness, or anesthesia, provides rich functional models for studying brain states. These models allow detailed examination of unique spatiotemporal neural activity patterns that …
  openalex Arnau Marin‐Llobet, Arnau Manasanch, Leonardo Dalla Porta, Melody Torao‐Angosto 等 2025-04-11 置信度 0.72 Artificial neural networkArtificial intelligenceComputer sciencePattern recognition (psychology)Neuroscience
• DBS - Deep Brain Stimulation Application for Parkinson’s Disease on the Basis of ELMAS’s Energy-Tronic System
  Parkinson’s disease is a progressive neurological condition resulting from the deterioration of dopamine-producing neurons in the brain. This leads to motor difficulties such as tremors, muscle stiffness, slowed movements (bradykinesia), and issues with walkin…
  openalex Emin Taner ELMAS 2026-04-27 置信度 0.72 Deep brain stimulationNeuroscienceDiseaseMedicinePhysical medicine and rehabilitation
• Neurocomputational Mechanisms of Sense of Agency: Literature Review for Integrating Predictive Coding and Adaptive Control in Human–Machine Interfaces
  BACKGROUND: The sense of agency (SoA)-the subjective experience of controlling one's own actions and their consequences-is a fundamental aspect of human cognition, volition, and motor control. Understanding how the SoA arises and is disrupted in neuropsychiatr…
  openalex Anirban Dutta 2025-04-14 置信度 0.72 Predictive codingCoding (social sciences)Agency (philosophy)Sense of agencyHuman–machine system
• Advances in Neuroanatomy through Brain Atlasing
  Human brain atlases are tools to gather, present, use, and discover knowledge about the human brain. The developments in brain atlases parallel the advances in neuroanatomy. The brain atlas evolution has been from hand-drawn cortical maps to print atlases to d…
  openalex Wiesław L. Nowinski 2023-01-19 置信度 0.72 NeuroanatomyBrain atlasNeuroscienceHuman brainComputer science
• Neuraminidase inhibition promotes the collective migration of neurons and recovery of brain function
  In the injured brain, new neurons produced from endogenous neural stem cells form chains and migrate to injured areas and contribute to the regeneration of lost neurons. However, this endogenous regenerative capacity of the brain has not yet been leveraged for…
  openalex Mami Matsumoto, Katsuyoshi Matsushita, Masaya Hane, Chentao Wen 等 2024-05-24 置信度 0.72 Function (biology)NeuraminidaseNeuroscienceBrain functionNeuraminidase inhibitor
• Low-dimensional controllability of brain networks
  Identifying the driver nodes of a network has crucial implications in biological systems from unveiling causal interactions to informing effective intervention strategies. Despite recent advances in network control theory, results remain inaccurate as the numb…
  openalex Remy Ben Messaoud, Vincent Le Du, Camile Bousfiha, Marie‐Constance Corsi 等 2025-01-07 置信度 0.72 ControllabilityNetwork controllabilityComputer scienceMetric (unit)Connectome
• The role of S100B protein as a diagnostic biomarker for brain injury
  S100B is a brain protein, produced mainly by astrocytes, that indicates neurological injury by leaking into the bloodstream, cerebrospinal fluid (CSF), and urine. Elevated levels of S100B in blood and CSF serve as a marker for acute neural injury such as traum…
  openalex Nataliia Gnyliukh, James Wei, Winfried Neuhaus, Rabah Boukherroub 等 2025-10-01 置信度 0.72 Traumatic brain injuryMedicineBiomarkerCerebrospinal fluidDiagnostic biomarker
• A brain-inspired object-based attention network for multiobject recognition and visual reasoning
  The visual system uses sequences of selective glimpses to objects to support goal-directed behavior, but how is this attention control learned? Here we present an encoder-decoder model inspired by the interacting bottom-up and top-down visual pathways making u…
  openalex Hossein Adeli, Seoyoung Ahn, Gregory J. Zelinsky 2023-05-22 置信度 0.72 Computer scienceObject (grammar)Representation (politics)Top-down and bottom-up designEncoder
• Sophisticated Interfaces Between Biosensors and Organoids: Advancing Towards Intelligent Multimodal Monitoring Physiological Parameters
  The integration of organoids with biosensors serves as a miniaturized model of human physiology and diseases, significantly transforming the research frameworks surrounding drug development, toxicity testing, and personalized medicine. This review aims to prov…
  openalex Yuqi Chen, Shuge Liu, Yating Chen, Miaomiao Wang 等 2025-08-22 置信度 0.72 OrganoidBiosensorComputer scienceNanotechnologyHuman–computer interaction