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identification biology

GeneTech 知识引擎共收录 240 篇相关科研实体，横跨 23 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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• Medea: An AI agent for therapeutic reasoning across biological contexts
  2026 · AI 安全与对齐 · Abstract Therapeutic hypotheses can transfer across diseases but their relevance depends on biological context. The same target, perturbation, or treatment can produce different effects across cell types, disease states,…
• Artificial Intelligence as a Catalyst for Antimicrobial Discovery: From Predictive Models to De Novo Design
  2026 · AI 安全与对齐 · Antimicrobial resistance represents one of the most critical global health challenges of the 21st century, urgently demanding innovative strategies for antimicrobial discovery. Traditional antibiotic development pipeline…
• Manufacturing change management – an AI- and data-enhanced Delphi study and algorithm to support change process tailoring and the identification of suitable methods and digital tools
  2026 · AI 安全与对齐 · Abstract Today’s manufacturing industry is exposed to increasing external and internal disturbing issues, including supply chain disruptions, geopolitical uncertainties, and workforce shortages. These dynamics require co…
• The role of minerals in prebiotic evolution: Implications for identifying worlds with the potential for life’s origin
  2026 · 地外矿物 · ABSTRACT Understanding the origin of life requires explaining how abiotic molecules transitioned into the first living systems within plausible geological settings. Increasing evidence suggests minerals as active partici…
• Navigation of drug discovery via artificial intelligence
  2026 · 医疗人工智能 · Abstract Background The growing global health burden necessitates precise therapeutics to mitigate pathogenesis and severe complications, which are increasing daily. Recently emerging and re-emerging viral infectious dis…
• Food and Medicine Homology Focus in 2026
  2026 · 仿生智能 · The field of food and medicine homology (FMH) is transitioning from traditional empirical knowledge to contemporary scientific methodologies.Commencing in 2026, this evolution will be anchored by a core tenet: fostering …
• Giftedness: A Critical Analysis of Theories and Identification Methods in Light of Contemporary Neuroscience
  2026 · 脑科学 · Giftedness is a complex and multifaceted construct that lacks clear conceptual consensus, resulting in challenges for standardizing identification criteria. Divergences between traditional psychometric models and contemp…
• Food and Medicine Homology Focus in 2026
  2026 · 脑科学 · The field of food and medicine homology (FMH) is transitioning from traditional empirical knowledge to contemporary scientific methodologies.Commencing in 2026, this evolution will be anchored by a core tenet: fostering …
• Species identification and pathogenicity study of Alternaria fungi causing pear black spot disease in Anhui Province
  2026 · 碳中和与 CCUS · BACKGROUND: Black spot disease is a significant disease during the growth period of pear trees. The species and pathogenicity of Alternaria fungi causing black spot disease in Anhui Province are still unclear. RESULTS: I…
• Перспективи розвитку інфраструктури уловлювання, транспортування та зберігання CO₂ в Україні: європейський досвід та національні передумови
  2026 · 碳中和与 CCUS · Досліджено тенденції розвитку інфраструктури уловлювання, транспортування та геологічного зберігання діоксиду вуглецю (CCS) у країнах Європейського Союзу та виконано аналіз перспектив їх реалізації в Україні. Аналіз євро…
• IMPORTÂNCIA DA DOAÇÃO DE SANGUE: EXTENSÃO UNIVERSITÁRIA COMO ESTRATÉGIA DE CONSCIENTIZAÇÃO E PROMOÇÃO DA SAÚDE
  2026 · 碳中和与 CCUS · Este e-book reúne experiências extensionistas que revelam a potência formativa, científica e social da Biomedicina no Extremo Sul da Bahia, articulando ensino, pesquisa e compromisso com a realidade local.Ao narrar proje…
• A Systematic Review of Green and Sustainable AI: Taxonomy, Metrics, Challenges, and Open Research Directions
  2026 · 碳中和与 CCUS · Due to the recent rapid development of artificial intelligence (AI) and its expanding impact on the planet, green and sustainable AI research has increasingly gained attention. This systematic literature review searches …
• Adaptive Digital Twin Modeling with Control: Integration of Extended Kalman Filter-Based Recursive Sparse Nonlinear Identification with Model Predictive Control.
  2026 · 数字孪生 · The adoption of digital twins has revolutionized industrial process simulation, monitoring, and control effectiveness. However, practical implementations of digital twins are hindered by substantial challenges, including…
• Research on Remaining Useful Life Prediction of Equipment Based on Digital Twins
  2026 · 数字孪生 · Remaining Useful Life (RUL) prediction is a key factor in fault diagnosis, prediction, and health management (PHM) during equipment operation and service. Its purpose is to predict the time interval from the current mome…
• In-situ digital twinning of induction machines via sensitivity-based genetic algorithm parameter estimation
  2026 · 数字孪生 · This paper presents a novel, non-invasive methodology for creating a high-fidelity digital twin using only steady-state operational data. The proposed approach employs a fourstep workflow with two-stage parameter identif…
• Statistical and context-based diagnostics for Digital Twin environments
  2026 · 数字孪生 · The Digital Twin concept is increasingly applied in engineering practice to support simulation-based design and validation processes.However, ensuring consistency between simulations and experimental data remains a criti…
• A metrological digital twin of nanoindentation for out-of-control measurements identification
  2026 · 数字孪生 · Nanoindentation enables the high-resolution characterization of mechanical properties and the study of advanced materials. However, in the measurement practice, several influence factors affect nanoindentation, introduci…
• Mathematical Approaches for the Characterization and Analysis of Molecular Markers in the Study of the Progression and Severity of Amyotrophic Lateral Sclerosis
  2026 · 数字孪生 · Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disorder for which despite its severity, no validated biomarker currently exists to support early diagnosis, limiting therapeutic effectiveness and p…
• Smart Technologies in Food Safety and Quality Monitoring: A Review of Technological Advances, Opportunities and Challenges
  2026 · 数字孪生 · ABSTRACT Food safety is a critical component of the global food production and consumption system, as contaminated foods continue to trigger outbreaks, recalls, and substantial public health and economic burdens. This re…
• Development of a Digital Twin for Anionic Polymerization–The Importance of Reliable Substance Data
  2026 · 数字孪生 · High Resolution Image Download MS PowerPoint Slide Anionic polymerization of vinyl monomers enables exceptional control over the molar mass distribution of the synthesized polymers. Still, it requires highly stringent re…
• Identifying and characterising uncertainty in digital twin engineering
  2026 · 数字孪生 · Digital twin technologies are increasingly deployed in complex industrial systems where uncertainty management is critical to ensure their reliability, robustness, and resilience. However, there is currently limited lite…
• Use of AI in Identification of Sexually Transmitted Infections and Anogenital Dermatoses
  2025 · AI 安全与对齐 · Importance: Artificial intelligence (AI) excels in dermatology. However, its applications to sexually transmitted infections (STIs) remain unclear. Objective: To assess the performance of AI algorithms and their applicat…
• Mapping study on AI-based technologies in palliative care – a scoping study
  2025 · AI 安全与对齐 · BACKGROUND: The aging population and rising prevalence of chronic illnesses emphasize the importance of palliative care (PC), which focuses on enhancing patients' quality of life (QoL) while supporting their families and…
• LLMs and AI Life Models for Traditional Chinese Medicine-derived Geroprotector Formulation
  2025 · AI 安全与对齐 · Traditional Chinese Medicine (TCM) represents a vast repository of therapeutic knowledge, but its integration with modern drug discovery remains challenging due to fundamental differences in theoretical frameworks. We de…
• Automated AI based identification of autism spectrum disorder from home videos
  2025 · AI 安全与对齐 · Autism spectrum disorder (ASD) is a prevalent childhood-onset neurodevelopmental condition. Early diagnosis remains challenging by the time, cost, and expertise required for traditional assessments, creating barriers to …
• Identification of Natural Hydrogen Seeps: Leveraging AI for Automated Classification of Sub‐Circular Depressions
  2025 · 地外矿物 · Abstract Hydrogen has long been used as an energy vector, but the recent discovery of natural hydrogen (H 2 ) opens the door for its use as a direct energy source. Identifying H 2 seepages is therefore crucial to advance…
• Assessment framework to predict sensitivity of marine calcifiers to ocean alkalinity enhancement – identification of biological thresholds and importance of precautionary principle
  2025 · 生物计算 · Abstract. Ocean alkalinity enhancement (OAE), one of the marine carbon dioxide removal strategies, is gaining recognition in its ability to mitigate climate change and ocean acidification (OA). OAE is based on adding alk…
• Artificial intelligence-enhanced electrocardiography for the identification of a sex-related cardiovascular risk continuum: a retrospective cohort study
  2025 · 医疗人工智能 · BACKGROUND: Females are typically underserved in cardiovascular medicine. The use of sex as a dichotomous variable for risk stratification fails to capture the heterogeneity of risk within each sex. We aimed to develop a…
• Leveraging artificial intelligence in antibody-drug conjugate development: from target identification to clinical translation in oncology
  2025 · 医疗人工智能 · Artificial intelligence (AI) is opening new frontiers in the development of antibody-drug conjugates (ADCs), offering unprecedented opportunities for precision therapy. This review outlines how AI empowers each stage of …
• Specialised Competencies and Artificial Intelligence in Perioperative Care: Contributions Toward Safer Practice
  2025 · 医疗人工智能 · This narrative review explores how specialised clinical competencies and artificial intelligence (AI) technologies converge in the context of perioperative care, with a focus on their combined potential to improve patien…
• Application of artificial intelligence-based stemness index in cancer
  2025 · 医疗人工智能 · Cancer stem cells (CSCs) exhibit self-renewal and multidirectional differentiation capacities. The stemness of CSCs is the fundamental cause of tumor progression and treatment resistance. The stemness index, evaluating t…
• Artificial Intelligence in Anaesthesiology: Current Applications, Challenges, and Future Directions
  2025 · 医疗人工智能 · Artificial intelligence (AI) is rapidly transforming anaesthesiology through advances in machine learning, deep learning, and large language models. AI-driven tools now contribute to nearly every phase of perioperative c…
• The application of artificial intelligence in forensic pathology: a systematic literature review
  2025 · 医疗人工智能 · Introduction: Recent advancements in Artificial Intelligence have shown immense potential across various domains of healthcare, including forensic pathology. This systematic review aims to evaluate the latest innovations…
• Ophthalmic drug discovery and development using artificial intelligence and digital health technologies
  2025 · 医疗人工智能 · Globally, drug discovery and development programs are complex, multi-decade long and prohibitively expensive. Artificial intelligence (AI) and other digital health technologies have the potential to enhance and accelerat…
• Application and research progress on artificial intelligence in the quality of Traditional Chinese Medicine
  2025 · 医疗人工智能 · The clinical safety and therapeutic performance of Traditional Chinese Medicine (TCM) are closely tied to its quality. However, with the rapid expansion of the TCM industry, conventional quality control approaches based …
• Explainable Artificial Intelligence for Pulmonary Disease Detection from Chest Radiographs
  2025 · 医疗人工智能 · The integration of Explainable Artificial Intelligence (XAI) with deep learning has revolutionized medical image analysis, which is now able to yield accurate and interpretable disease diagnosis. In spite of significant …
• Glaucoma identification with retinal fundus images using deep learning: Systematic review
  2025 · 深海科技 · Glaucoma is a leading cause of blindness, affecting millions of people worldwide. It is a chronic eye condition that damages the optic nerve and, if left untreated, can lead to vision loss and a decreased quality of life…
• Application of a Digital Twin Model in an Operational System for Monitoring Railway Bridges
  2025 · 数字孪生 · This paper addresses the current issues of the design, operation and monitoring of bridge structures in the context of digitalisation within the transport industry. Purpose: To develop digital twins to improve the reliab…
• Enhancing intellectual property identification and valuation in manufacturing through digital twins
  2025 · 数字孪生 · This study provides a transdisciplinary and empirical examination of the efficacy of digital twin technology in enhancing intellectual property (IP) identification and valuation within the manufacturing sector. Focusing …
• Leveraging FMMEA for Digital Twin Development: A Case Study on Intelligent Completion in Oil and Gas
  2025 · 数字孪生 · The implementation of Digital Twins (DTs) represents a significant advancement for the Oil and Gas (O&G) industry. A DT virtually replicates a physical asset, enabling the monitoring, diagnosis, prediction, and optimizat…
• Ophthalmic drug discovery and development using artificial intelligence and digital health technologies
  2025 · 数字孪生 · Globally, drug discovery and development programs are complex, multi-decade long and prohibitively expensive. Artificial intelligence (AI) and other digital health technologies have the potential to enhance and accelerat…
• A Genomic Surveillance Circuit for Emerging Viral Pathogens
  2025 · 基因技术工具 · Genomic surveillance has been crucial in monitoring the evolution and spread of SARS-CoV-2. In Andalusia (Spain), a coordinated genomic surveillance circuit was established to systematically sequence and analyze viral ge…
• Quantum contingency analysis for power system steady-state security identification
  2025 · 量子材料 · Unprecedented extreme climate events cause devastating infrastructure outages within power systems. Comprehensive outage identification is essential for the identification of critical components to ensure the uninterrupt…
• Identification of dental implant systems from low-quality and distorted dental radiographs using AI trained on a large multi-center dataset
  2024 · AI 安全与对齐 · Most artificial intelligence (AI) studies have attempted to identify dental implant systems (DISs) while excluding low-quality and distorted dental radiographs, limiting their actual clinical use. This study aimed to eva…
• Navigating the decision‐making landscape of AI in risk finance: Techno‐accountability unveiled
  2024 · AI 安全与对齐 · The integration of artificial intelligence (AI) systems has ushered in a profound transformation. This conversion is marked by revolutionary extrapolative capabilities, a shift toward data-centric decision-making process…
• Multi-Prompts Learning with Cross-Modal Alignment for Attribute-Based Person Re-identification
  2024 · AI 安全与对齐 · The fine-grained attribute descriptions can significantly supplement the valuable semantic information for person image, which is vital to the success of person re-identification (ReID) task. However, current ReID algori…
• An Artificial Intelligence Competency Framework for Teachers and Students: Co-created with Teachers
  2024 · AI 安全与对齐 · Artificial intelligence (AI), especially generative AI (GenAI), is rapidly permeating every aspect of our lives, driving an accelerated evolution of how we work, play, and learn, thus necessitating new competencies for t…
• Vehicle Lateral Dynamics-Inspired Hybrid Model Using Neural Network for Parameter Identification and Error Characterization
  2024 · AI 安全与对齐 · Autonomous vehicle requires a high-precision lateral dynamics model for path following and lateral stability control. However, existing physical models suffer from low accuracy due to modeling simplification and inaccura…
• Identification of gene regulatory networks associated with breast cancer patient survival using an interpretable deep neural network model
  2024 · AI 安全与对齐 · Artificial neural networks have recently gained significant attention in biomedical research. However, their utility in survival analysis still faces many challenges. In addition to designing models for high accuracy, it…
• Unsupervised and interpretable discrimination of lithium-bearing minerals with Raman spectroscopy imaging.
  2024 · 地外矿物 · As lithium-bearing minerals become critical raw materials for the field of energy storage and advanced technologies, the development of tools to accurately identify and differentiate these minerals is becoming essential …
• A Machine Learning Approach for the Autonomous Identification of Hardness in Extraterrestrial Rocks from Digital Images
  2024 · 地外矿物 · Understanding rock hardness on extraterrestrial planets offers valuable insights into planetary geological evolution. Rock hardness correlates with morphological parameters, which can be extracted from navigation images,…
• Identification of distinct subgroups of Sjögren's disease by cluster analysis based on clinical and biological manifestations: data from the cross-sectional Paris-Saclay and the prospective ASSESS cohorts
  2024 · 生物计算 · BACKGROUND: Sjögren's disease is a heterogenous autoimmune disease with a wide range of symptoms-including dryness, fatigue, and pain-in addition to systemic manifestations and an increased risk of lymphoma. We aimed to …
• Role of artificial intelligence in revolutionizing drug discovery
  2024 · 医疗人工智能 · The application of artificial intelligence (AI) in medicine, particularly through machine learning (ML), marked a significant progression in drug discovery. AI acts as a powerful catalyst in narrowing the gap between dis…
• Artificial Intelligence in the Diagnosis of Onychomycosis—Literature Review
  2024 · 医疗人工智能 · Onychomycosis is a common fungal nail infection that is difficult to diagnose due to its similarity to other nail conditions. Accurate identification is essential for effective treatment. The current gold standard method…
• Enhancing cervical cancer cytology screening via artificial intelligence innovation
  2024 · 医疗人工智能 · A double-check process helps prevent errors and ensures quality control. However, it may lead to decreased personal accountability, reduced effort, and declining quality checks. Introducing an artificial intelligence (AI…
• Fetal brain MRI atlases and datasets: A review
  2024 · 仿生智能 · Fetal brain development is a complex process involving different stages of growth and organization which are crucial for the development of brain circuits and neural connections. Fetal atlases and labeled datasets are pr…
• Automated Brain Tumor Identification in Biomedical Radiology Images: A Multi-Model Ensemble Deep Learning Approach
  2024 · 仿生智能 · Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person’s life. Therefore, early and accurate detection of brain tumors i…
• EEG-Based Brain Functional Network Analysis for Differential Identification of Dementia-Related Disorders and Their Onset
  2024 · 仿生智能 · Diagnosing and treating dementia, including mild cognitive impairment (MCI), is challenging due to diverse disease types and overlapping symptoms. Early MCI detection is vital as it can precede dementia, yet distinguishi…
• AI Applications – Computer Vision and Natural Language Processing
  2024 · 仿生智能 · Artificial intelligence (AI) applications in computer vision and natural language processing (NLP) have made major advances in recent years, challenging a number of sectors and areas. This multidisciplinary topic combine…
• Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs
  2024 · 脑科学 · ABSTRACT BACKGROUND AND PURPOSE: Privacy concerns, such as identifiable facial features within brain scans, have hindered the availability of pediatric neuroimaging datasets for research. Consequently, pediatric neurosci…

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