AI Medical Compendium

Content analysis of output from generative artificial intelligence chatbots when prompted about breast cancer and alcohol consumption.

Public health Apr 11, 2026

OBJECTIVES: Alcohol is a group one carcinogen and contributes to breast cancer risk for women. Awareness of this relationship remains low. Generative artificial intelligence (GenAI) chatbots are an increasingly used source of health information. It i... read more

TearNET: Validation of a convolutional neural network for grading of tear ferning patterns using deep learning.

Contact lens & anterior eye : the journal of the British Contact Lens Association Apr 11, 2026

PURPOSE: Tear-ferning patterns are microscopic crystallization formed when the solvent in the tears evaporates, and the solutes congregate to form a fern-like crystal structure. The ferning patterns are affected by the biomolecular properties of the ... read more

Generative deep learning-driven de novo design of targeted MAP4K6 inhibitors.

Computers in biology and medicine Apr 11, 2026

The discovery of selective small-molecule inhibitors for pharmacologically underexplored kinases remains a critical barrier to precision drug development, particularly under data-sparse conditions, where ligand annotations are scarce. Here, we presen... read more

DPA-Net: A dual-path attention neural network for estimating glycemic metrics from self-monitored blood glucose data.

Computers in biology and medicine Apr 11, 2026

Continuous glucose monitoring (CGM) provides dense and dynamic glucose profiles that enable reliable estimation of glycemic metrics, such as time-above-range (TAR), time-in-range (TIR), and time-below-range (TBR). However, the cost and limited access... read more

SCTGE infers transformer-based graph embeddings to improve cell-cell interaction identification and cell identity annotations.

Computational biology and chemistry Apr 11, 2026

Single-cell transcriptomic data analysis faces challenges in deciphering spatial embeddings due to high dimensionality, noise, and limitations in existing computational frameworks. Existing studies highlight the transformative potential of graph-base... read more

Relationships between periodontitis and inflammatory bowel disease: Screening and functional analysis of endoplasmic reticulum stress-related biomarkers.

Biochemical and biophysical research communications Apr 11, 2026

This study aimed to explore the relationship between periodontitis (PD) and inflammatory bowel disease (IBD), focusing on changes in the expression of endoplasmic reticulum stress (ERS)-related genes and the screening of potential biomarkers. PD and ... read more

Vocal Fundamental Frequency and Generalized Anxiety Disorder: Insights from a Large Multi-Country Cohort in Africa.

Journal of voice : official journal of the Voice Foundation Apr 11, 2026

OBJECTIVE: Voice-based biomarkers have been proposed as objective tools for anxiety assessment, yet existing research relies on small, demographically homogeneous samples and shows inconsistent associations between fundamental frequency (F0) and anxi... read more

Comment on "Predictive machine learning algorithms for depression and anxiety disorders in six cancer types: A comprehensive multi-center population-based study".

Journal of the Formosan Medical Association = Taiwan yi zhi Apr 11, 2026

LSHMMformer: An Intelligent detection model of depression based on multi-modal fusion.

Journal of neuroscience methods Apr 11, 2026

BACKGROUND: Depression is a serious mental health issue, which has become an undeniable threat to mental well-being. Against this background, research on automatic depression detection based on deep learning (DL) can help reduce the cost of depressio... read more

A multiparameter model (OsteoSC-M3) for early detection and risk stratification of osteoporosis in women: a multicentre cohort study in China.

EClinicalMedicine Apr 11, 2026

BACKGROUND: Osteoporosis is a major global health issue, but current early screening tools lack accuracy, and the gold-standard diagnostic method, dual-energy X-ray absorptiometry (DXA), is not widely accessible. This limits large-scale early screeni... read more

Artificial Intelligence Medical Compendium