Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 66,121 to 66,130 of 232,257 articles

PymolFold: A PyMOL Plugin for API-Driven Structure Prediction and Quality Assessment.

Journal of chemical information and modeling
Deep learning has transformed protein structure prediction, yet most state-of-the-art models remain challenging for experimental scientists to access. To address this, we present PymolFold, an open-source PyMOL plugin that seamlessly integrates cutti... read more 

Leveraging Interpretable AI for Deciphering Signature Histopathologic Patterns.

Journal of cutaneous pathology
BACKGROUND: Leukocytoclastic vasculitis (LCV) and microvascular occlusion (MVO) are distinct histopathologic patterns underlying dermatologic diagnoses of purpura. This study explores the potential of attention-based artificial intelligence (AI) mode... read more 

DNA-Encoded Chemical Library Screening with Target Titration Analysis: DELTA.

Journal of medicinal chemistry
DNA-encoded chemical libraries (DELs) enable the highly efficient screening of billions of small molecules for binding to a target of interest and provide valuable training data for machine learning models for virtual screening. However, DEL screenin... read more 

Struct2GO-Enhanced: Multimodal Graph Attention Improves Protein Function Prediction.

Journal of chemical information and modeling
Protein function prediction has advanced substantially with the integration of AlphaFold2 structural information, yet current models remain constrained by incomplete multimodal feature fusion and limited attention mechanisms for capturing structural-... read more 

Atomic Resolution of Solid-Electrolyte Interphase Formation via Off-Lattice On-the-Fly Kinetic Monte Carlo.

Journal of the American Chemical Society
Complex reactions occurring at the electrode/electrolyte interface in Li metal batteries lead to the formation of a solid-electrolyte interphase (SEI), which plays a vital role in stabilizing batteries' performance. An in-depth understanding of the S... read more 

NeuMTL: A Unified Multimodal Framework for Multi-Task Prediction in CNS Drug Discovery.

Journal of chemical information and modeling
Deep learning has made significant progress in drug discovery. However, most existing models are single-task and single-modality, which not only limits their representational capacity but also tends to overlook critical factors in central nervous sys... read more 

A Multi-Channel Machine Learning Model for Predicting the Bioactivity Potential of Macrocyclic Peptides.

Journal of medicinal chemistry
Macrocyclic peptides have gained attention as promising drug candidates due to their unique therapeutic properties. Advances in artificial intelligence have demonstrated the potential to facilitate the discovery and optimization of macrocyclic peptid... read more 

Using Machine Learning for Green Substitution of Industrial Chemicals: Integrating Functionality, Hazard, and Life Cycle Impact.

Chemical reviews
Industrial chemicals are characterized by their substantial production volumes, widespread applications, fugitive release into the environment, and the general lack of full awareness regarding their risks, carrying global unintended adverse effects o... read more 

Nickel-Catalyzed Aryl Borylations: Opportunities and Challenges for Innovation.

Journal of the American Chemical Society
The utility of aryl boronic acids, esters, and their congeners has led to the development of methods spanning from early synthesis strategies via deprotonations and metal/halogen exchange protocols to sophisticated and well-studied Pd-catalyzed Miyau... read more