AI Medical Compendium

Artificial intelligence for binary dental caries diagnosis using intraoral images and dental radiographs: a systematic review and meta-analysis.

BMC oral health Feb 3, 2026

OBJECTIVES: Artificial intelligence (AI) has shown increasing potential in dental diagnostics, yet its accuracy for binary classification of dental caries across different imaging modalities remains unclear. This study aimed to systematically evaluat... read more

Self-supervised pretraining with NuSPIRe unlocks nuclear morphology-driven insights in spatial omics.

Genome biology Feb 3, 2026

Nuclear morphology encodes rich phenotypic information critical for understanding cellular states, yet its full potential remains untapped in biomedical analysis. This study introduces NuSPIRe, a self-supervised deep learning model designed to analyz... read more

Integrating deep learning and radiomics for precise identification of luminal A/B breast cancer subtypes on dynamic contrast-enhanced MRI.

Cancer imaging : the official publication of the International Cancer Imaging Society Feb 3, 2026

BACKGROUND: Accurate differentiation between luminal A and B subtypes of breast cancer is critical for selecting therapeutic strategies. However, current approaches rely predominantly on invasive biopsy and immunohistochemical (IHC) analysis. Therefo... read more

MoEGP: an efficient crop genomic prediction approach based on the mixture of experts network.

Plant methods Feb 3, 2026

Compost fermented with thermophilic Bacillaceae reduces heat stress-induced mortality in laying hens through gut microbial modulation.

Animal microbiome Feb 3, 2026

BACKGROUND: Heat stress (HS) adversely affects poultry health and productivity. Recently, it has been suggested that the gut microbiota may play a role in host resilience to HS, although the details of its mechanism remain unclear. Here, the heat tol... read more

Explainable Artificial Intelligence-Driven Salivary Exosome Spectroscopic Profiling for Clinical Diagnosis and Metastasis Detection of Oral Cancer.

Nano letters Feb 3, 2026

Oral squamous cell carcinoma (OSCC), the most common oral malignancy, requires accurate diagnostic methods for patient stratification and treatment guidance. Exosome-based liquid biopsy represents a promising minimally invasive approach to cancer det... read more

Encapsulated Non-Exchangeable Na+ Ions Determining the Upper Limit of Al Inclusion in FAU-A Multiscale Simulation.

Angewandte Chemie (International ed. in English) Feb 3, 2026

Na+ ion as charge-balance agent controlling the distribution of framework aluminum atoms in Y-zeolite from 1 to 14 Al atoms (Si/Al = 47-2.4) and the acid strength have been investigated based on DFT computations, descriptors from machine learning, AI... read more

Benchmarking Deep Learning for PROTAC Ternary Complex Prediction.

Proteins Feb 3, 2026

Proteolysis Targeting Chimeras (PROTACs) represent a transformative approach to drug development by leveraging the intracellular ubiquitin-proteasome system (UPS) for the selective degradation of target proteins. A PROTAC molecule comprises three ess... read more

Using deep learning to assess the toxicological effects of sublethal exposure of a novel green pesticide in a stored-product beetle.

Pest management science Feb 3, 2026

BACKGROUND: Managing stored-grain pests requires new strategies to limit economic and health risks. This study analyses the sublethal effects of the natural compound carlina oxide on Prostephanus truncatus, providing new behavioural insights through ... read more

Development and Validation of a Machine Learning Model That Uses Voice to Predict Aspiration Risk.

JMIR formative research Feb 3, 2026

BACKGROUND: Aspiration causes or aggravates a variety of respiratory diseases. Subjective bedside evaluations of aspiration are limited by poor inter- and intra-rater reliability, while gold standard diagnostic tests for aspiration, such as video flu... read more

Artificial Intelligence Medical Compendium