-
Gene expression is a complex phenomenon involving numerous interlinked variables, and studying these variables to control expression is essential in bioengineering and biomanufacturing. While cloning techniques for achieving plasmid libraries that cover large …
arxiv
Khushank Singhal, Harry Adamson, Thomas Baer, Howard Salis 等
2025-01-29T13:28:36Z
置信度 0.78
q-bio.QMq-bio.BM
-
To support mechanism online learning and facilitate digital twin development for biomanufacturing processes, this paper develops an efficient Bayesian inference approach for partially observed enzymatic stochastic reaction network (SRN), a fundamental building…
arxiv
Wandi Xu, Wei Xie
2024-05-05T01:54:21Z
置信度 0.78
stat.MLcs.LG
-
Motivated by critical challenges and needs from biopharmaceuticals manufacturing, we propose a general metamodel-assisted stochastic simulation uncertainty analysis framework to accelerate the development of a simulation model with modular design for flexible …
arxiv
Wei Xie, Russell R. Barton, Barry L. Nelson, Keqi Wang
2022-03-16T22:57:40Z
置信度 0.78
stat.MEeess.SY
-
Based on technical work and development conducted under the LunA-10 study, I have identified six hypotheses where, if revolutionary improvements in technology can be made, I assess that a direct acceleration to the fielding of a lunar economy is likely to occu…
arxiv
Michael Nayak
2024-03-09T16:51:30Z
置信度 0.78
physics.soc-phphysics.pop-phphysics.space-ph
-
Cybergenetic gene expression control in bacteria enables applications in engineering biology, drug development, and biomanufacturing. AI-based controllers offer new possibilities for real-time, single-cell-level regulation but typically require large datasets …
arxiv
Liam Perreault, Idris Kempf, Kirill Sechkar, Jean-Baptiste Lugagne 等
2026-01-04T23:55:31Z
置信度 0.78
eess.SY
-
Biopharmaceutical manufacturing faces critical challenges, including complexity, high variability, lengthy lead time, and limited historical data and knowledge of the underlying system stochastic process. To address these challenges, we propose a green simulat…
arxiv
Hua Zheng, Wei Xie, Mingbin Ben Feng
2020-06-17T14:59:13Z
置信度 0.78
cs.LGcs.AIstat.ML
-
Myocardial infarction causes myocardium thinning, fibrosis, and progressive heart failure. Engineered human myocardium (EHM) is tested clinically as a first-in-class product for sustainable remuscularization in patients with advanced heart failure. Current EHM…
arxiv
Hossein Goodarzi Hosseinabadi
2025-08-27T13:11:59Z
置信度 0.78
physics.med-phcond-mat.mtrl-sciq-bio.TO
-
Biomanufacturing innovation relies on an efficient Design of Experiments (DoEs) to optimize processes and product quality. Traditional DoE methods, ignoring the underlying bioprocessing mechanisms, often suffer from a lack of interpretability and sample effici…
arxiv
Fuqiang Cheng, Wei Xie, Hua Zheng
2024-05-07T00:22:13Z
置信度 0.78
q-bio.QMcs.LGstat.ML
-
Motivated by the pressing challenges in the digital twin development for biomanufacturing systems, we introduce an adjoint sensitivity analysis (SA) approach to expedite the learning of mechanistic model parameters. In this paper, we consider enzymatic stochas…
arxiv
Keilung Choy, Wei Xie
2024-05-07T05:06:45Z
置信度 0.78
q-bio.MNstat.ML
-
Biotechnology Industry 5.0 is advancing with the integration of cutting-edge technologies like Machine Learning (ML), the Internet Of Things (IoT), and cloud computing. It is no surprise that an industry that utilizes data from customers and can alter their li…
arxiv
Naseela Pervez, Alexander J. Titus
2024-02-12T17:21:12Z
置信度 0.78
cs.CRq-bio.QM
-
Gene therapy is poised to transition from niche to mainstream medicine, with recombinant adeno-associated virus (rAAV) as the vector of choice. However, this requires robust, scalable, industrialized production to meet demand and provide affordable patient acc…
arxiv
Sai Guna Ranjan Gurazada, Hannah M. Kennedy, Richard D. Braatz, Steven J. Mehrman 等
2024-08-23T21:14:47Z
置信度 0.78
q-bio.GN
-
Bioprocess mechanistic modeling is essential for advancing intelligent digital twin representation of biomanufacturing, yet challenges persist due to complex intracellular regulation, stochastic system behavior, and limited experimental data. This paper introd…
arxiv
Keilung Choy, Wei Xie, Keqi Wang
2025-05-06T04:39:34Z
置信度 0.78
stat.MLcs.LGq-bio.QM
-
Driven by the critical needs of biomanufacturing 4.0, we introduce a probabilistic knowledge graph hybrid model characterizing the risk- and science-based understanding of bioprocess mechanisms. It can faithfully capture the important properties, including non…
arxiv
Wei Xie, Keqi Wang, Hua Zheng, Ben Feng
2022-05-05T02:54:21Z
置信度 0.78
stat.MLcs.LG
-
Biomolecular networks underpin emerging technologies in synthetic biology-from robust biomanufacturing and metabolic engineering to smart therapeutics and cell-based diagnostics-and also provide a mechanistic language for understanding complex dynamics in natu…
arxiv
Maurice Filo, Nicolò Rossi, Zhou Fang, Mustafa Khammash
2026-01-24T20:27:47Z
置信度 0.78
q-bio.QMcs.AIcs.LGeess.SYq-bio.MN
-
Multiplex and multi-directional control of metabolic pathways is crucial for metabolic engineering to improve product yield of fuels, chemicals, and pharmaceuticals. To achieve this goal, artificial transcriptional regulators such as CRISPR-based transcription…
arxiv
Jiayuan Sheng, Weihua Guo, Christine Ash, Brendan Freitas 等
2017-04-10T19:17:20Z
置信度 0.78
q-bio.BMq-bio.GN
-
This study explores the deployment of three machine learning (ML) approaches for real-time prediction of glucose, lactate, and ammonium concentrations in cell culture processes, using Raman spectroscopy as input features. The research addresses challenges asso…
arxiv
Thanh Tung Khuat, Johnny Peng, Robert Bassett, Ellen Otte 等
2025-08-29T22:26:13Z
置信度 0.78
q-bio.QMcs.LG
-
Recent advances in generative biology have enabled the design of novel proteins, creating significant opportunities for drug discovery while also introducing new risks, including the potential development of synthetic bioweapons. Existing biosafety measures pr…
arxiv
Jonathan Feldman, Tal Feldman
2025-08-30T18:09:04Z
置信度 0.78
q-bio.QMcs.AI
-
Driven by the key challenges of cell therapy manufacturing, including high complexity, high uncertainty, and very limited process observations, we propose a hybrid model-based reinforcement learning (RL) to efficiently guide process control. We first create a …
arxiv
Hua Zheng, Wei Xie, Keqi Wang, Zheng Li
2022-01-10T00:01:19Z
置信度 0.78
eess.SYcs.LG
-
While deep learning has accelerated drug discovery, its impact on biomanufacturing has been considerably more limited. The reason is data scarcity. Bioreactor experiments are high-cost, take days to weeks, and are rarely shared in public form, leaving each res…
arxiv
Kyunghoon Hur, Eunjung Jeon, Hyun Woo Kim, Gyubok Lee 等
2026-07-10T17:47:37Z
置信度 0.78
cs.LGcs.AI
-
To advance understanding of cellular metabolism and reduce batch-to-batch variability in cell culture processes, this study introduces a multi-scale hybrid modeling framework designed to simulate and predict the dynamic behavior of CHO cell cultures undergoing…
arxiv
Keqi Wang, Sarah W. Harcum, Wei Xie
2024-12-05T05:30:04Z
置信度 0.78
q-bio.MN
-
Antibody productivity and glycosylation quality in CHO cultures arise from a dynamically evolving metabolic environment, yet models often work in isolation or at a single scale. Here, we present a multiscale mechanistic framework linking molecular, cellular, a…
arxiv
Yuming Zeng, Sarah W. Harcum, Jinxiang Pei, Wei Xie
2026-07-02T05:27:06Z
置信度 0.78
q-bio.CB
-
Scalable manufacturing of human induced pluripotent stem cells (iPSCs) is essential for industrial-scale production of cell therapies and regenerative medicines. However, the 3D aggregate cultures used in manufacturing exhibit substantial spatial and metabolic…
arxiv
Fuqiang Cheng, Zahra Foroozan Jahromi, Keqi Wang, Thomas C. Caldwell 等
2026-03-17T19:24:46Z
置信度 0.78
q-bio.CB
-
Extracellular vesicles (EVs) are cell-derived secretions that mediate tissue homeostasis and intercellular communication through their diverse cargos, such as proteins. Distinct EV biogenesis pathways suggest specific association and co-enrichment of proteins …
arxiv
Molly L. Shen, Andreas Wallucks, Rosalie Martel, Zijie Jin 等
2023-01-10T16:07:19Z
置信度 0.78
q-bio.QM
-
The spaceflight environment presents unique physicochemical conditions, including microgravity, ionizing radiation, altered fluid transport, and confined engineered habitats, which influence biological systems and biomolecular assembly processes. These conditi…
arxiv
Yamini Jangir, Samrat Ghosh, Vinay Nayaka, Mubashir Ali 等
2026-05-28T03:40:12Z
置信度 0.78
astro-ph.IM
-
Advances in methods of biological data collection are driving the rapid growth of comprehensive datasets across clinical and research settings. These datasets provide the opportunity to monitor biological systems in greater depth and at finer time steps than w…
arxiv
Joshua Pickard, Cooper Stansbury, Amit Surana, Lindsey Muir 等
2024-05-16T04:42:21Z
置信度 0.78
q-bio.MNmath.OC
-
The introduction of non-native organisms into complex microbiome communities holds enormous potential to benefit society. However, microbiome engineering faces several challenges including successful establishment of the organism into the community, its persis…
arxiv
Jason E. McDermott, William C. Nelson, Amy E. Zimmerman, Winston Anthony 等
2025-03-28T04:12:35Z
置信度 0.78
q-bio.PE
-
Living organisms rely on endogenous feedback mechanisms to maintain homeostasis in the presence of uncertainty and environmental fluctuations. An emerging challenge at the interface of control systems engineering and synthetic biology is the design of reliable…
arxiv
Mario di Bernardo
2026-02-23T10:13:11Z
置信度 0.78
eess.SY
-
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