AI Medical Compendium

RGReco: a unified framework for automated R-group recognition in chemical publications.

Journal of cheminformatics Mar 10, 2026

The abundant R-group information available in chemical publications plays a crucial role in data-driven artificial intelligence (AI) research in the field of medicinal chemistry. In real-world publications, R-groups are expressed in various textual a... read more

Machine learning-based prediction model for fall risk among individuals with arthritis in China: an analysis using the China Health and Retirement Longitudinal Study (CHARLS) database.

Journal of health, population, and nutrition Mar 10, 2026

BACKGROUND: Falling has become a global public health problem. Individuals with arthritis have a higher risk of falling because of joint pain, poor muscle strength, and decreased proprioception; however, there is no all-inclusive risk assessment mode... read more

Toward Complex-Systems Evidence for Chinese Medicine: A Four-Phase Evidence Framework.

Journal of evidence-based medicine Mar 10, 2026

Traditional Chinese medicine (TCM) faces persistent gaps between evidence generation and clinical use. Building on Qian Xuesen's theory of open complex giant systems (OCGSs) and its qualitative-to-quantitative metasynthesis, we advance a complex-syst... read more

Hot Carrier Injection-Driven Nano-Interface Assembly for Hydrogen Generation.

ACS applied materials & interfaces Mar 10, 2026

Harnessing hot electron transfer (HET) at plasmonic-semiconductor interfaces is a promising route to modulate charge carrier dynamics toward solar energy-driven water splitting for hydrogen generation. Popular semiconductor photocatalysts driving sol... read more

Explainable Machine Learning for High-Resolution Modeling of Long-Term Atmospheric Nitrogen and Sulfur Wet Deposition across the United States.

Environmental science & technology Mar 10, 2026

Wet deposition of nitrogen and sulfur compounds is a major pathway through which atmospheric pollutants influence ecosystem nutrient cycles and regional air quality. Existing methods for estimating atmospheric nitrogen and sulfur wet deposition, such... read more

Advances in Pathogen Detection by Nanosensors: Biorecognition Strategies, Signal Amplification, and Platform Engineering.

ACS nano Mar 10, 2026

The escalating global threat of infectious diseases, compounded by antimicrobial resistance (AMR), calls for improved diagnostic strategies. Conventional pathogen detection techniques─culture, enzyme-linked immunosorbent assay (ELISA), and microscopy... read more

Backbone rigidity of disordered protein linkers from NMR experiments and MD simulations.

Biophysical journal Mar 10, 2026

Disordered protein linkers are essential for multidomain protein function and engineering, but quantitative methods for their biophysical characterization remain limited. We combined NMR experiments with molecular dynamics simulations to demonstrate ... read more

Structured machine learning modeling to support conservation of deep-sea benthic biodiversity.

Conservation biology : the journal of the Society for Conservation Biology Mar 10, 2026

Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep-sea benthos of the Santos Basin, Brazil, we developed a two-stage structured model that allowed compa... read more

Predicting Antibody-Antigen Affinity with a Dual-Level Representation Model.

Bioinformatics (Oxford, England) Mar 10, 2026

MOTIVATION: Protein language models (pLMs) are critical for modeling antibody-antigen interactions, yet sequence-based affinity prediction remains a key challenge, particularly when structural data are scarce. Existing methods often struggle to fully... read more

Automatic segmentation of clinical target volume for radiation therapy in breast-conserving patients and exploration of clinical factors influential to its performance.

The British journal of radiology Mar 10, 2026

OBJECTIVES: To develop and validate a deep learning model for whole breast clinical target volume (CTV) contouring and evaluate clinical features affecting its performance. METHODS: Five datasets with 857 patients from a single center were used. Data... read more

Artificial Intelligence Medical Compendium