Artificial Intelligence Medical Compendium

The number of data points per patient considered at the point-of-care in precision cancer medicine continues to increase, and it is accompanied by a growing challenge of translating these observations into clinical insights. This is a time-intensive ... read more 

The generation of highly accurate models of behaviours of individual cells and cell populations through integration of high-resolution assays with advanced computational tools would transform precision medicine. Recent breakthroughs in single-cell an... read more 

Single-cell analyses have transitioned from descriptive atlasing towards inferring causal effects and mechanistic relationships that capture cellular logic. Technological advances and the growing scale of observational and interventional datasets hav... read more 

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 

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 

read more 

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 

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 

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 

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