AI Medical Compendium

Towards Enhanced Representation Learning for Single-Source Domain Generalization in LiDAR Semantic Segmentation.

IEEE transactions on pattern analysis and machine intelligence Jan 15, 2026

With the success of the 3D deep learning models, various perception technologies for autonomous driving have been developed in the LiDAR domain. While these models perform well in the trained source domain, they struggle in unseen domains with a doma... read more

A Comparative Study of Machine Learning Models for Identification of Antiviral Peptides Using Various Encoded Features.

IEEE transactions on computational biology and bioinformatics Jan 15, 2026

Viruses are a significant threat to human life, as demonstrated by the global COVID-19 pandemic and the Ebola outbreak. Diseases such as smallpox, AIDS, hepatitis, liver cancer, and cervical cancer often caused by the Human Papillomavirus can lead to... read more

Caries Microbiome: time to move from blame to balance.

Caries research Jan 15, 2026

BACKGROUND: Advances in next-generation sequencing(NGS) and multi-omics approaches reinforced the concept of functional diversity within biofilm communities, revealing roles beyond bacterial taxonomy and highlighting metabolic and ecological mechanis... read more

Deep-learning analysis of 3D microarchitectural remodeling in hypertrophic cardiomyopathy.

Science (New York, N.Y.) Jan 15, 2026

Hypertrophic cardiomyopathy (HCM), a genetic heart disease defined by unexplained cardiac wall thickening, is a leading cause of sudden death worldwide. However, the three-dimensional organization of cardiac tissue underlying left ventricular hypertr... read more

Humans Animals Swine Transcriptome Deep Learning Imaging, Three-Dimensional Genotype Disease Models, Animal Myocardium Fibrosis Ventricular Remodeling Myocytes, Cardiac Cardiomyopathy, Hypertrophic Hypertrophy, Left Ventricular

Transforming mental health research and care through artificial intelligence.

Science (New York, N.Y.) Jan 15, 2026

Artificial intelligence (AI) holds transformative potential for the care of people with mental health illnesses. This Review explores key domains and emerging applications of AI in mental health, emphasizing the challenges that must be addressed to e... read more

Humans Artificial Intelligence Mental Disorders Mental Health

Reconstruction of Facial Bony Defects Using 3D Printed Polylactic Acid/β-Tricalcium Phosphate Bioimplant.

The Journal of craniofacial surgery Jan 15, 2026

Reconstruction of facial defects requires highly accurate techniques that utilize modern effective technologies. 3D printing has revolutionized the field of reconstructive surgery. The introduction of new materials, devices, and technologies that uti... read more

DPM: A Deep Learning and Optimal Transport Framework for Cost-Effective Spatial Metabolomics.

Analytical chemistry Jan 15, 2026

Mass spectrometry imaging (MSI) is a powerful technology in spatial metabolomics that enables the in situ detection and distribution analysis of metabolites in tissue sections. However, the high cost associated with high-resolution and multislice MSI... read more

Mild Cognitive Impairment Detection System Based on Unstructured Spontaneous Speech: Longitudinal Dual-Modal Framework.

JMIR medical informatics Jan 15, 2026

BACKGROUND: In recent years, the incidence of cognitive diseases has also risen with the significant increase in population aging. Among these diseases, Alzheimer disease constitutes a substantial proportion, placing a high-cost burden on health care... read more

Humans Female Aged Aged, 80 and over Male Speech China Cognitive Dysfunction Longitudinal Studies Memory, Episodic

Evaluating In-Context Learning in Large Language Models for Molecular Property Regression.

Journal of computational chemistry Jan 15, 2026

Large language models (LLMs) demonstrate strong performance in natural language tasks, but their capacity for genuine in-context learning (ICL) in scientific regression remains unclear. We systematically assessed seven LLMs on molecular property pred... read more

Application of deep learning to single-shot gas-phase laser-induced breakdown spectroscopy.

Optics letters Jan 15, 2026

Single-shot fs laser-induced breakdown spectroscopy (LIBS) has the potential to capture ns-scale electrode desorption phenomena in pulsed power fusion drivers. However, the successful implementation of the diagnostic for this purpose is challenging, ... read more

Artificial Intelligence Medical Compendium