Phase 1b norovirus challenge study is underway at Emory University School of MedicineCDI-988 is the first oral antiviral ...
This figure illustrates three key applications of AI in antimicrobial drug development: (1) target identification and validation, including novel target discovery, affinity prediction, multi-target ...
Baylor College of Medicine will be a site for a new multi-institution project aimed at investigating preclinical drug safety assessments. The project, known as DATAMAP, the Digital Acceleration of ...
The big pharma and AI drug developer expand on a partnership that launched with a 2023 software licensing accord.
Large language models (LLMs) can be broadly applied across multiple key stages in drug development: (1) Target identification and drug screening. Llama-Gram, GPCR LLM, and ProtChat systems effectively ...
Regulatory pressure from GxP, 21 CFR Part 11, and AI/ML guidance elevates requirements for audit trails, data lineage, ...
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AlphaFold opens new doors in drug development—how
AlphaFold, a transformative AI-driven tool developed by DeepMind, has revolutionized the field of structural biology by accurately predicting protein structures. This breakthrough holds significant ...
Scientists at the University of Cambridge have developed a new way to alter complex drug molecules using light rather than ...
Respiratory infectious diseases, such as viral pneumonia, pose a serious threat to global public health. These diseases spread rapidly and widely, potentially causing severe complications such as ...
Summary of US Food and Drug Administration Chimeric Antigen Receptor (CAR) T-Cell Biologics License Application Approvals From a Statistical Perspective This review highlights strategies to integrate ...
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