AIMC Topic: Drug Development
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Advances of deep Neural Networks (DNNs) in the development of peptide drugs.
Future medicinal chemistry
Feb 12, 2025
Peptides are able to bind to difficult disease targets with high potency and specificity, providing great opportunities to meet unmet medical requirements. Nevertheless, the unique features of peptides, such as their small size, high structural flexi...
Future prospective of AI in drug discovery.
Advances in pharmacology (San Diego, Calif.)
Feb 6, 2025
Drug discovery and development is very expensive and long with an inferior success rate. It is quite inefficient and costly due to huge R&D costs and lower productivity in pharmaceutical industries, to discover effective drugs and their development. ...
Deep learning: A game changer in drug design and development.
Advances in pharmacology (San Diego, Calif.)
Feb 6, 2025
The lengthy and costly drug discovery process is transformed by deep learning, a subfield of artificial intelligence. Deep learning technologies expedite the procedure, increasing treatment success rates and speeding life-saving procedures. Deep lear...
Evaluating the synergistic use of advanced liver models and AI for the prediction of drug-induced liver injury.
Expert opinion on drug metabolism & toxicology
Feb 2, 2025
INTRODUCTION: Drug-induced liver injury (DILI) is a leading cause of acute liver failure. Hepatotoxicity typically occurs only in a subset of individuals after prolonged exposure and constitutes a major risk factor for the termination of drug develop...
Artificial intelligence in drug development.
Nature medicine
Jan 20, 2025
Drug development is a complex and time-consuming endeavor that traditionally relies on the experience of drug developers and trial-and-error experimentation. The advent of artificial intelligence (AI) technologies, particularly emerging large languag...
The use of Artificial Intelligence Algorithms in drug development and clinical trials: A scoping review.
International journal of medical informatics
Jan 16, 2025
BACKGROUND: Artificial Intelligence (AI) is transforming drug development and clinical trials, helping researchers find new treatments faster and personalize care for patients. By automating tasks like molecule screening and predicting treatment outc...
'Applications of machine learning in liposomal formulation and development'.
Pharmaceutical development and technology
Jan 11, 2025
Machine learning (ML) has emerged as a transformative tool in drug delivery, particularly in the design and optimization of liposomal formulations. This review focuses on the intersection of ML and liposomal technology, highlighting how advanced algo...
Advancing precision cancer immunotherapy drug development, administration, and response prediction with AI-enabled Raman spectroscopy.
Frontiers in immunology
Jan 9, 2025
Molecular characterization of tumors is essential to identify predictive biomarkers that inform treatment decisions and improve precision immunotherapy development and administration. However, challenges such as the heterogeneity of tumors and patien...
AI-directed formulation strategy design initiates rational drug development.
Journal of controlled release : official journal of the Controlled Release Society
Dec 26, 2024
Rational drug development would be impossible without selecting the appropriate formulation route. However, pharmaceutical scientists often rely on limited personal experiences to perform trial-and-error tests on diverse formulation strategies. Such ...
Progress, Pitfalls, and Impact of AI-Driven Clinical Trials.
Clinical pharmacology and therapeutics
Dec 25, 2024
Since the deep learning revolution of the early 2010s, significant efforts and billions of dollars have been invested in applying artificial intelligence (AI) to drug discovery and development (AIDD). However, despite high expectations, few AI-discov...
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