AI Medical Compendium

Targeting the MPO/LCN2/GMPPB axis in IBS-depression comorbidity: Integrated multi-omics and bidirectional network pharmacology for precision diagnostics and therapeutics.

Computational biology and chemistry Feb 8, 2026

BACKGROUND: Irritable Bowel Syndrome (IBS) and Major Depressive Disorder (MDD) exhibit high comorbidity, driven by dysregulation of gut-brain axis interactions. Despite evidence of shared pathophysiology, the core molecular mechanisms and therapeutic... read more

Self-supervised learning for aflatoxin B1 detection using masked spectra.

Food chemistry Feb 8, 2026

Aflatoxins are highly toxic secondary metabolites widely found in peanut and maize kernels. This study proposes a strategy based on self-supervised learning (SSL) for the accurate detection of Aflatoxin B1 in peanuts and maize. Firstly, an SSL backbo... read more

Machine learning-driven computational drug repurposing to identify new tubulin inhibitors against cancer.

Bioorganic & medicinal chemistry Feb 8, 2026

Tubulin is a validated anticancer target, yet the clinical translation of colchicine-binding site inhibitors remains limited by toxicity and resistance. To accelerate the discovery of safer tubulin-targeting agents, we employed a machine learning (ML... read more

Surface-enhanced Raman spectroscopy of serum exosomes coupled with support vector machine for diagnosis of Parkinson's disease.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 8, 2026

Parkinson's disease (PD) diagnosis faces substantial challenges due to the lack of reliable biomarkers and the limitations of existing detection techniques. Exosomes, which carry biomolecular cargo reflective of disease pathology, are increasingly re... read more

Construction and validation of an evaluation index system for healthy villages in China: A human-AI synergistic approach integrating modified Delphi and AHP.

One health (Amsterdam, Netherlands) Feb 8, 2026

OBJECTIVE: Research on healthy villages in China is currently constrained by limited evaluation criteria and a lack of systemic comprehensiveness. This study aims to develop a scientifically rigorous evaluation index system that is tailored to the re... read more

Recognition of counterfeit identity documents using FTIR spectroscopy and machine learning approaches.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Feb 8, 2026

Document forgery represents a persistent challenge in forensic science, demanding analytical approaches capable of identifying chemical and structural alterations beyond traditional visual or microscopic inspection. This study proposes a non-destruct... read more

Digital transformation of Jiangxiangxing Baijiu production: integrating flavor compound analysis, machine learning recognition, and genetic algorithm blending of multi-rounds.

Food research international (Ottawa, Ont.) Feb 8, 2026

The blending of Jiangxiangxing Baijiu is achieved through the specific proportional blending of base liquors from distinct distillation rounds, characterized by significant flavor variations attributed to differing volatile and non-volatile flavor co... read more

Risk prediction in IgA nephropathy: from conventional models to machine learning, deep learning, and precision nephrology.

Renal failure Feb 8, 2026

IgA nephropathy (IgAN) is the most prevalent primary glomerular disease worldwide and a leading cause of end-stage kidney disease (ESKD). Its clinical heterogeneity results in divergent renal outcomes, making early identification of high-risk patient... read more

Artificial neural networks for HD-sEMG-based hand position estimation: addressing inter- and intra-subject variability.

Journal of neuroengineering and rehabilitation Feb 8, 2026

BACKGROUND: Reliable control of rehabilitation and assistive devices using High-Density surface Electromyography (HD-sEMG) remains limited by poor robustness to electrode shifts, changes in skin condition, and variability across users. METHODS: This ... read more

Street drug monitoring with networked spectrometers powered by machine learning: a pilot study in Ontario, Canada.

Harm reduction journal Feb 8, 2026

Drug-checking services (DCS) provide people who use drugs (PWUD) with crucial information concerning the substances they may consume. The intent of DCS is to reduce harms potentially associated with those substances, by providing evidence-based infor... read more

Artificial Intelligence Medical Compendium