AIMC Topic: Drug Development

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Role of Artificial Intelligence in Drug Discovery to Revolutionize the Pharmaceutical Industry: Resources, Methods and Applications.

Recent patents on biotechnology Jan 1, 2025
Traditional drug discovery methods such as wet-lab testing, validations, and synthetic techniques are time-consuming and expensive. Artificial Intelligence (AI) approaches have progressed to the point where they can have a significant impact on the d...
Patents as Topic Artificial Intelligence Drug Discovery Drug Development Drug Industry Humans
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Integrating Model-Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation.

Clinical and translational science Jan 1, 2025
The pharmaceutical industry constantly strives to improve drug development processes to reduce costs, increase efficiencies, and enhance therapeutic outcomes for patients. Model-Informed Drug Development (MIDD) uses mathematical models to simulate in...
Humans Artificial Intelligence Models, Theoretical Drug Development Algorithms Drug Discovery Drug Industry
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Trends of Artificial Intelligence (AI) Use in Drug Targets, Discovery and Development: Current Status and Future Perspectives.

Current drug targets Jan 1, 2025
The applications of artificial intelligence (AI) in pharmaceutical sectors have advanced drug discovery and development methods. AI has been applied in virtual drug design, molecule synthesis, advanced research, various screening methods, and decisio...
Drug Design Drug Discovery Drug Development Drug Industry Humans Artificial Intelligence
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Machine Learning in Early Prediction of Metabolism of Drugs.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2025
Machine learning (ML) has increasingly been applied to predict properties of drugs. Particularly, metabolism can be predicted with ML methods, which can be exploited during drug discovery and development. The prediction of metabolism is a crucial bot...
Computer Simulation Animals Humans Machine Learning Pharmaceutical Preparations Drug Discovery Biotransformation Drug Development
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Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development.

Clinical and translational science Nov 1, 2024
Despite increasing interest in using Artificial Intelligence (AI) and Machine Learning (ML) models for drug development, effectively interpreting their predictions remains a challenge, which limits their impact on clinical decisions. We address this ...
Humans Supervised Machine Learning Drug Development Software
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Increasing acceptance of AI-generated digital twins through clinical trial applications.

Clinical and translational science Jul 1, 2024
Today's approach to medicine requires extensive trial and error to determine the proper treatment path for each patient. While many fields have benefited from technological breakthroughs in computer science, such as artificial intelligence (AI), the ...
Drug Development Artificial Intelligence Clinical Trials as Topic Precision Medicine Humans
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Accelerating Drug Development Using Spatial Multi-omics.

Cancer discovery Apr 4, 2024
Spatial biology approaches enabled by innovations in imaging biomarker platforms and artificial intelligence-enabled data integration and analysis provide an assessment of patient and disease heterogeneity at ever-increasing resolution. The utility o...
Multiomics Drug Development Biomarkers Humans Artificial Intelligence
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AI can help to tailor drugs for Africa - but Africans should lead the way.

Nature Apr 1, 2024
Drug Development Research Personnel Databases as Topic Africa Artificial Intelligence African People Biomedical Research
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Piquing artificial intelligence towards drug discovery: Tools, techniques, and applications.

Drug development research Apr 1, 2024
The purpose of this study was to discuss how artificial intelligence (AI) methods have affected the field of drug development. It looks at how AI models and data resources are reshaping the drug development process by offering more affordable and exp...
Artificial Intelligence Drug Delivery Systems Drug Design Drug Discovery Drug Development
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ChemMORT: an automatic ADMET optimization platform using deep learning and multi-objective particle swarm optimization.

Briefings in bioinformatics Jan 22, 2024
Drug discovery and development constitute a laborious and costly undertaking. The success of a drug hinges not only good efficacy but also acceptable absorption, distribution, metabolism, elimination, and toxicity (ADMET) properties. Overall, up to 5...
Drug Development Drug Discovery Poly(ADP-ribose) Polymerase Inhibitors Deep Learning Humans
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