AIMC Topic: Drug Development

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Lessons learnt from machine learning in early stages of drug discovery.

Expert opinion on drug discovery May 10, 2024
Drug Discovery Drug Development Humans Machine Learning
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Another string to your bow: machine learning prediction of the pharmacokinetic properties of small molecules.

Expert opinion on drug discovery May 10, 2024
INTRODUCTION: Prediction of pharmacokinetic (PK) properties is crucial for drug discovery and development. Machine-learning (ML) models, which use statistical pattern recognition to learn correlations between input features (such as chemical structur...
Pharmacokinetics Pharmaceutical Preparations Models, Biological Humans Machine Learning Drug Discovery Drug Development Animals
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An extensive review on lung cancer therapeutics using machine learning techniques: state-of-the-art and perspectives.

Journal of drug targeting May 6, 2024
There are over 100 types of human cancer, accounting for millions of deaths every year. Lung cancer alone claims over 1.8 million lives per year and is expected to surpass 3.2 million by 2050, which underscores the urgent need for rapid drug developm...
Humans Machine Learning Antineoplastic Agents Drug Design Lung Neoplasms Drug Development
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The role and future prospects of artificial intelligence algorithms in peptide drug development.

Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie May 6, 2024
Peptide medications have been more well-known in recent years due to their many benefits, including low side effects, high biological activity, specificity, effectiveness, and so on. Over 100 peptide medications have been introduced to the market to ...
Humans Algorithms Animals Peptides Artificial Intelligence Machine Learning Drug Discovery Drug Development
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A comprehensive assessment of machine learning algorithms for enhanced characterization and prediction in orodispersible film development.

International journal of pharmaceutics May 3, 2024
Orodispersible films (ODFs) have emerged as innovative pharmaceutical dosage forms, offering patient-specific treatment through adjustable dosing and the combination of diverse active ingredients. This expanding field generates vast datasets, requiri...
Dosage Forms Administration, Oral Chemistry, Pharmaceutical Drug Delivery Systems Pilot Projects Machine Learning Support Vector Machine Algorithms Pharmaceutical Preparations Drug Development
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Use of Artificial Intelligence in Drug Development.

JAMA network open May 1, 2024
Artificial Intelligence Humans Drug Development
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Recent advances in the development of DprE1 inhibitors using AI/CADD approaches.

Drug discovery today Apr 25, 2024
Tuberculosis (TB) is a global lethal disease caused by Mycobacterium tuberculosis (Mtb). The flavoenzyme decaprenylphosphoryl-β-d-ribose 2'-oxidase (DprE1) plays a crucial part in the biosynthesis of lipoarabinomannan and arabinogalactan for the cell...
Enzyme Inhibitors Alcohol Oxidoreductases Drug Design Drug Discovery Tuberculosis Bacterial Proteins Humans Animals Mycobacterium tuberculosis Antitubercular Agents Artificial Intelligence Drug Development Computer-Aided Design
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Unleashing the power of generative AI in drug discovery.

Drug discovery today Apr 23, 2024
Artificial intelligence (AI) is revolutionizing drug discovery by enhancing precision, reducing timelines and costs, and enabling AI-driven computer-aided drug design. This review focuses on recent advancements in deep generative models (DGMs) for de...
Drug Discovery Drug Development Algorithms Humans Computer-Aided Design Artificial Intelligence Drug Design
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[The revolution of AI in drug development].

Medecine sciences : M/S Apr 23, 2024
Artificial intelligence and machine learning enable the construction of predictive models, which are currently used to assist in decision-making throughout the process of drug discovery and development. These computational models can be used to repre...
Machine Learning Computer Simulation Drug Discovery Drug Development Precision Medicine Humans Artificial Intelligence
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Leveraging Modeling and Simulation to Enhance the Efficiency of Bioequivalence Approaches for Generic Drugs: Highlights from the 2023 Generic Drug Science and Research Initiatives Public Workshop.

The AAPS journal Apr 8, 2024
The 2023 Generic Drug Science and Research Initiative Public Workshop organized by the U.S. Food and Drug Administration (FDA) discussed the research needs to improve and enhance bioequivalence (BE) approaches for generic drug development. FDA takes ...
Therapeutic Equivalency Drugs, Generic Drug Development United States Food and Drug Administration Artificial Intelligence United States
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