AI Medical Compendium

ShenLingBaiZhu powder ameliorates obesity and atherosclerosis by inhibiting inflammation and apoptosis through the suppression of the TLR4/NF-κB pathway.

Journal of ethnopharmacology Jan 19, 2026

ETHNOPHARMACOLOGICAL RELEVANCE: ShenLingBaiZhu Powder (SLBZP) is a renowned traditional Chinese medicinal formula that has been historically and clinically applied for managing obesity (OB) and atherosclerosis (AS). Nevertheless, its precise molecula... read more

Predicting mixed neurological health risks from liquid crystal monomer mixtures in indoor dust using a network-driven machine learning model.

Environmental pollution (Barking, Essex : 1987) Jan 19, 2026

Liquid crystal monomers (LCMs) are emerging indoor environmental pollutants with potential implications for the human nervous system, and different LCMs usually coexist simultaneously. However, research focusing on the neurological risks associated w... read more

Time-Series Machine Learning for Prediction of Bronchopulmonary Dysplasia.

The Journal of pediatrics Jan 19, 2026

OBJECTIVE: To build a time-series machine learning (ML) model that improves bronchopulmonary dysplasia (BPD) prediction compared with published online calculators. STUDY DESIGN: We used a single-center, extremely low gestational age newborn cohort (i... read more

Investigating the role of sensorimotor versus contextual cues in the sense of joint agency: a human-human and human-robot study.

Neuropsychologia Jan 19, 2026

Sense of Joint Agency (SoJA), is the feeling of control experienced by humans for their own, as well as their partner's actions, when acting in joint action with others. SoJA is ubiquitous in human-human interaction. Therefore, it is both interesting... read more

Zero-shot deep learning with multi-objective optimization improves thermostability of zearalenone hydrolase and xylanase.

New biotechnology Jan 19, 2026

Enhancing enzyme thermostability is crucial for industrial applications requiring robust performance under extreme conditions. Structure-based protein design models excel at improving thermal stability but often compromise enzymatic activity, while s... read more

Integrative omics approaches for bioactive metabolite discovery in marine macroalgae: Recent advances and future perspectives.

Journal of biotechnology Jan 19, 2026

Phlorotannins, bromophenols, sulfated polysaccharides, terpenoids, lipids and halogenated molecules exhibit potent antioxidant, anticancer, anti-inflammatory, and antimicrobial properties. Conventional discovery methods, such as solvent extraction an... read more

Machine learning-based prediction of phenanthrene accumulation and toxicity in earthworms across soils.

Environmental research Jan 19, 2026

Phenanthrene (PHE), a representative polycyclic aromatic hydrocarbon, readily bioaccumulates in soil organisms and poses substantial ecological risks. However, accurately predicting PHE toxicity across heterogeneous soils remains challenging due to c... read more

Assessing the performance of quantum-mechanical descriptors in physicochemical and biological property prediction.

Digital discovery Jan 19, 2026

Machine learning (ML) approaches have drastically advanced the exploration of structure-property and property-property relationships in computer-aided drug discovery. A central challenge in this field is the identification of molecular descriptors th... read more

Unveiling the relationship between stress-hyperglycemia ratio and cardiometabolic multimorbidity risk using interpretable machine learning.

European journal of medical research Jan 19, 2026

BACKGROUND: Cardiometabolic multimorbidity (CMM) is the simultaneous manifestation of multiple cardiovascular and metabolic diseases, and it has arisen as a substantial worldwide healthcare issue. The stress-hyperglycemia ratio (SHR) represents a nov... read more

Deep learning based prediction of RNA 5hmC modifications using composite feature representations and comparative benchmarking with transformer models.

BioData mining Jan 19, 2026

Artificial Intelligence Medical Compendium