Artificial Intelligence Medical Compendium

AIM: Janus kinase 3 (JAK3) is a key therapeutic target in autoimmune and inflammatory diseases. This study aimed to identify novel JAK3 inhibitors using an integrated machine learning and structure-based computational approach. MATERIALS AND METHODS:... read more 

Sodium-metal batteries (SMBs) exhibit high theoretical specific capacity and take advantage of sodium's natural abundance and low cost, showing great promise for broad next-generation energy-storage applications. In this review, we summarize the majo... read more 

The clinical success of immunotherapies is hindered by the absence of robust methodologies for the early and accurate assessment of antitumor immune responses. Integrating engineered biomaterials with artificial intelligence (AI)-driven molecular ima... read more 

The discovery of new solid-state ionic conductors remains challenging because ion transport depends sensitively on both mobile-ion chemistry and the host crystal framework. Although atomistic calculations can evaluate migration barriers directly, sim... read more 

OBJECTIVES: Real-world implementation of large language models such as ChatGPT to enhance patient education remains limited. We evaluated the feasibility, acceptability and attitudes towards a ChatGPT-based counselling tool among patients and healthc... read more 

OBJECTIVES: Real-world implementation of large language models such as ChatGPT to enhance patient education remains limited. We evaluated the feasibility, acceptability and attitudes towards a ChatGPT-based counselling tool among patients and healthc... read more 

OBJECTIVES: To evaluate whether real-time artificial intelligence (AI) breast ultrasound (US) can identify a subgroup of breast imaging reporting and data system (BI-RADS) category 4A lesions without suspicious mammographic (MMG) findings in whom unn... read more 

Protein models such as Evolutionary Scale Modeling (ESM), AlphaFold and Boltz have transformed computational protein science, yet a pretrained model rarely transfers to a particular laboratory's assay without adaptation to its data and experimental s... read more 

Enzyme catalyzed reactions drive metabolism and enable diverse applications in biotechnology and sustainable synthesis, but assigning catalytic functions to uncharacterized enzymes and finding enzymes for target reactions remain major challenges. Des... read more 

Protein-ligand scoring functions must capture strongly nonlinear, target-dependent binding physics while remaining generalizable beyond their training data, a balance that purely analytic and purely data-driven models each struggle to achieve on thei... read more