AI Medical Compendium

Integrating network toxicology, machine learning, and experimental evidence reveals candidate targets and pathways in PCDD/F-related colon cancer.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Mar 28, 2026

Previous studies have suggested that exposure to carcinogenic polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) pollutants may increase the risk of colon cancer, their underlying molecular mechanisms remain unclear. In thi... read more

A possible definition of intelligence.

Bio Systems Mar 28, 2026

There is no consensus about what consciousness and its emergent form, intelligence, are. Yet this article proposes a new definition of intelligence. The new definition implicates the thermodynamic aspect of an intelligent system as a far from equilib... read more

HOX code-based stratification reveals RUNX1T1-HDAC reprogramming as a targetable driver of lineage plasticity across cancers.

Cancer letters Mar 28, 2026

Cancer remains a leading cause of death worldwide, with lineage plasticity emerging as a hallmark that drives therapy resistance and tumor progression by enabling cancer cells to alter identity and evade targeted therapies. Although genomic and trans... read more

Comparison of dimensionality reduction and feature selection for cognitive task decoding using functional connectivity.

Journal of neuroscience methods Mar 28, 2026

BACKGROUND: Advances in functional magnetic resonance imaging (fMRI) have led to the ability to study the brain across many contexts. However, the large number of features generated by functional connectivity approaches may overfit the data. These pr... read more

Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language models.

Journal of biomedical informatics Mar 28, 2026

OBJECTIVES: Accurate documentation of distant recurrence sites in breast cancer is essential for evaluating treatment effectiveness and outcomes research. However, such information is embedded in unstructured clinical notes, making manual abstraction... read more

Identifying active compounds and revealing integrated mechanism of phytomedicines via AI-driven chemical-biological information fusion: a case study of Weifuchun.

Journal of ethnopharmacology Mar 28, 2026

ETHNOPHARMACOLOGICAL RELEVANCE: Chinese phytomedicines exert holistic effects, yet their multidimensional mechanisms of action (MOAs) remain challenging to reveal. Standalone mass spectrometry (MS)-based chemical profiling is largely constrained to k... read more

Precision occupational lead exposure assessment through medical-informed machine learning.

Environmental pollution (Barking, Essex : 1987) Mar 28, 2026

Precise assessment of occupational lead exposure remains a major global public health challenge, as existing assessment methods are limited by overreliance on single biomarkers, insufficient capture of complex multi-factor interactions, and algorithm... read more

Key predictive factors of breast cancer based on race using machine learning models.

Annals of epidemiology Mar 28, 2026

PURPOSE: In this research, key factors influencing breast cancer risk, a major global issue, are investigated, using machine learning (ML) and explainable AI, for racial differences. METHODS: We used Breast Cancer Surveillance Consortium (BCSC) data,... read more

Scratcher: An automated machine-vision tool for dissecting the neural basis of itch.

Neuroscience Mar 28, 2026

Itch or pruritus invokes a specific reflexive and repetitive directed nocifensive behavioural response, known as scratching. Recent decades have revealed neural circuits that are involved in the sensory and affective-motivational aspects of itch-indu... read more

Virtual cell/virtual cell like: The key to unlocking a new era of HIV/AIDS treatment ?

Microbial pathogenesis Mar 28, 2026

Virtual Cell (VC) technology, as an interdisciplinary frontier at the intersection of systems biology and computational biology, aims to precisely simulate cellular biological behaviors through computer models. This paper systematically explores the ... read more

Artificial Intelligence Medical Compendium