AIMC Topic: Drug Development

Clear Filters Showing 11 to 20 of 313 articles

Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.

Pharmaceutical research Apr 3, 2025
OBJECTIVE: Amorphous solid dispersion (ASD) is widely utilized to enhance the solubility and bioavailability of water-insoluble drugs. However, conventional experimental approaches for ASD development are often resource-intensive and time-consuming. ...
Machine Learning Algorithms Chemistry, Pharmaceutical Powder Diffraction High-Throughput Screening Assays Drug Compounding Crystallization X-Ray Diffraction Support Vector Machine Solubility Drug Discovery Drug Development
View on PubMed DOI

Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learning.

mAbs Apr 1, 2025
Highly concentrated antibody solutions are necessary for developing subcutaneous injections but often exhibit high viscosities, posing challenges in antibody-drug development, manufacturing, and administration. Previous computational models were only...
Humans Neural Networks, Computer Antibodies, Monoclonal Viscosity Deep Learning Drug Development
View on PubMed DOI

The reality of modeling irritable bowel syndrome: progress and challenges.

Expert opinion on drug discovery Mar 31, 2025
INTRODUCTION: Irritable bowel syndrome (IBS) is a common gastrointestinal disorder that is often therapeutically challenging. While research has advanced our understanding of IBS pathophysiology, developing precise models to predict drug response and...
Computer Simulation Irritable Bowel Syndrome Animals Humans Reproducibility of Results Disease Models, Animal Artificial Intelligence Drug Development Gastrointestinal Agents
View on PubMed DOI

Embracing the changes and challenges with modern early drug discovery.

Expert opinion on drug discovery Mar 19, 2025
INTRODUCTION: The landscape of early drug discovery is rapidly evolving, fueled by significant advancements in artificial intelligence (AI) and machine learning (ML), which are transforming the way drugs are discovered. As traditional drug discovery ...
Drug Development Cost-Benefit Analysis Drug Discovery Systems Biology Artificial Intelligence Humans Machine Learning Biomarkers Animals
View on PubMed DOI

Enhancing clinical trial outcome prediction with artificial intelligence: a systematic review.

Drug discovery today Mar 15, 2025
Clinical trials are pivotal in drug development yet fraught with uncertainties and resource-intensive demands. The application of AI models to forecast trial outcomes could mitigate failures and expedite the drug discovery process. This review discus...
Clinical Trials as Topic Humans Artificial Intelligence Drug Discovery Drug Development
View on PubMed DOI

Applications of Artificial Intelligence in Drug Repurposing.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 6, 2025
Drug repurposing identifies new therapeutic uses for the existing drugs originally developed for different indications, aiming at capitalizing on the established safety and efficacy profiles of known drugs. Thus, it is beneficial to bypass of early s...
Artificial Intelligence Algorithms Humans Drug Development Drug Repositioning
View on PubMed DOI

SynthMol: A Drug Safety Prediction Framework Integrating Graph Attention and Molecular Descriptors into Pre-Trained Geometric Models.

Journal of chemical information and modeling Feb 25, 2025
Drug safety is affected by multiple molecular properties and safety assessment is critical for clinical application. Evaluating a drug candidate's therapeutic potential is facilitated by machine learning models trained on extensive compound bioactivi...
Deep Learning Drug Development
View on PubMed DOI

Elevating Research and Careers in the Development of Safer Drugs through Artificial Intelligence.

Chemical research in toxicology Feb 17, 2025
The session "Elevating Research and Careers in the Development of Safer Drugs through Artificial Intelligence," held at the American Chemical Society meeting, showcased innovative methodologies that AI brings to drug development, from predictive mode...
Precision Medicine Drug Development Humans Artificial Intelligence
View on PubMed DOI

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...
Deep Learning Drug Development Peptides Drug Design Humans Neural Networks, Computer
View on PubMed DOI

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. ...
Drug Discovery Algorithms Drug Development Animals Humans Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals