AI Medical Compendium

Toward Quantitative Domain-Motif Interactomes: State of the Art, Challenges, and Perspectives.

Annual review of biomedical data science May 18, 2026

Protein-protein interactions (PPIs) drive cellular function. Obtaining quantitative maps of protein interactomes is essential for linking genotype to phenotype and predicting cellular outcomes. A large fraction of PPIs are mediated by domain-motif in... read more

Sleep loss overrides sleep-preparatory behavior to promote sleep.

Sleep May 18, 2026

In the period preceding sleep, humans and other animals display a stereotyped repertoire of behaviors-including hygiene-related activities and preparing a place to sleep. Evidence suggests that this pre-sleep phase actively contributes to sleep initi... read more

I2I - From illusion to illumination: A neoteric deep learning model for recognizing medical situation actions using depth sensors data.

PloS one May 18, 2026

Among many issues, Robot vision experiences illumination challenges very frequently. Existing Human Action Recognition techniques perform excellently in state of the art, instead of scarce consideration on the vital issue of illumination. The illumin... read more

Machine Learning-Based Soft Voting Ensemble Model for the Prediction of Oral Drug-Likeness of Chemical Structures.

Journal of chemical information and modeling May 18, 2026

Drug discovery is a costly process with low success rates. Early prioritization of compounds based on drug-likeness estimation can help reduce attrition rates. Here we present HADES (Holistic AI-based Drug-likeness Estimation Score), a soft voting en... read more

Predictions from deep learning propose substantial protein-carbohydrate interplay.

Proceedings of the National Academy of Sciences of the United States of America May 18, 2026

Noncovalent interaction between proteins and carbohydrates (sugars, glycans) is the basis for biological functions from metabolic regulation to intercellular recognition. It is a grand challenge to identify the protein-carbohydrate interactomes in or... read more

Human amplification of climate-induced greenhouse gas emissions from global small water bodies.

Proceedings of the National Academy of Sciences of the United States of America May 18, 2026

Human activities amplify climate-induced greenhouse gas emissions from small water bodies (SWBs), creating critical but unquantified feedback in the global carbon cycle. Here, by training machine learning models on 470 field observations and upscalin... read more

Enhancing Vibronic-Coupling Hamiltonian Parameterization with Machine Learning: The PyVCHAM Tool.

Journal of chemical theory and computation May 18, 2026

Nonadiabatic effects play a key role in the photophysics and photochemistry of molecular systems, yet their efficient inclusion in quantum molecular dynamics simulations remains challenging, due to the need to construct accurate representations of th... read more

Direct Identification and Quantification of Nanoplastics in Aqueous Environments via Dual-Channel Electrothermal Vaporization-Microplasma-Based Point Discharge-Optical Emission Spectrometry (DC-ETV-μPD-OES).

Analytical chemistry May 18, 2026

A miniaturized analytical platform integrating dual-channel electrothermal vaporization-microplasma-based point discharge-optical emission spectrometry (DC-ETV-μPD-OES) has been developed for the direct identification and quantification of nanoplasti... read more

Artificial intelligence-enhanced electrocardiogram findings before and after heart transplantation in cardiac amyloidosis.

Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis May 18, 2026

Multimodal Personalized Mobile Health Just-in-Time Adaptive Intervention for Occupational Stress Management: Pilot Study.

JMIR mHealth and uHealth May 18, 2026

BACKGROUND: As digital health solutions gain traction, there is an urgent need for effective, person-centered stress management tools for employees. Advances in wearable stress monitoring and machine learning now enable the collection of high-resolut... read more

Artificial Intelligence Medical Compendium