AIMC Topic: Biotechnology
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Physics-informed neural networks for biopharmaceutical cultivation processes: Consideration of varying process parameter settings.
Biotechnology and bioengineering
Sep 18, 2024
We present a new modeling approach for the study and prediction of important process outcomes of biotechnological cultivation processes under the influence of process parameter variations. Our model is based on physics-informed neural networks (PINNs...
Proposing a New Frontier in Diabetes Treatment: The Integration of Biotechnology and Artificial Intelligence.
Journal of diabetes science and technology
Jul 23, 2024
Machine learning: an advancement in biochemical engineering.
Biotechnology letters
Jun 21, 2024
One of the most remarkable techniques recently introduced into the field of bioprocess engineering is machine learning. Bioprocess engineering has drawn much attention due to its vast application in different domains like biopharmaceuticals, fossil f...
Synthetic biology advances towards a bio-based society in the era of artificial intelligence.
Current opinion in biotechnology
May 22, 2024
Synthetic biology is a rapidly emerging field with broad underlying applications in health, industry, agriculture, or environment, enabling sustainable solutions for unmet needs of modern society. With the very recent addition of artificial intellige...
A roadmap for model-based bioprocess development.
Biotechnology advances
May 15, 2024
The bioprocessing industry is undergoing a significant transformation in its approach to quality assurance, shifting from the traditional Quality by Testing (QbT) to Quality by Design (QbD). QbD, a systematic approach to quality in process developmen...
The Evolving Landscape of Cervical Cancer: Breakthroughs in Screening and Therapy Through Integrating Biotechnology and Artificial Intelligence.
Molecular biotechnology
Apr 4, 2024
Cervical cancer (CC) continues to be a major worldwide health concern, profoundly impacting the lives of countless females worldwide. In low- and middle-income countries (LMICs), where CC prevalence is high, innovative, and cost-effective approaches ...
Context-dependent design of induced-fit enzymes using deep learning generates well-expressed, thermally stable and active enzymes.
Proceedings of the National Academy of Sciences of the United States of America
Mar 4, 2024
The potential of engineered enzymes in industrial applications is often limited by their expression levels, thermal stability, and catalytic diversity. De novo enzyme design faces challenges due to the complexity of enzymatic catalysis. An alternativ...
Machine learning for functional protein design.
Nature biotechnology
Feb 15, 2024
Recent breakthroughs in AI coupled with the rapid accumulation of protein sequence and structure data have radically transformed computational protein design. New methods promise to escape the constraints of natural and laboratory evolution, accelera...
Protein design meets biosecurity.
Science (New York, N.Y.)
Jan 25, 2024
The power and accuracy of computational protein design have been increasing rapidly with the incorporation of artificial intelligence (AI) approaches. This promises to transform biotechnology, enabling advances across sustainability and medicine. DNA...
ChatGPT or LLM in next-generation drug discovery and development: pharmaceutical and biotechnology companies can make use of the artificial intelligence-based device for a faster way of drug discovery and development.
International journal of surgery (London, England)
Dec 1, 2023
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