AI Medical Compendium

Predictive analysis and performance assessment of coal bottom ash in recycled aggregate concrete under elevated temperatures.

Environmental science and pollution research international Jan 16, 2026

This study investigates the viability of utilizing coal bottom ash (BA) as a replacement for natural fine aggregate (NFA) in concrete containing recycled coarse aggregates (RCA). Although recycled materials often diminish mechanical properties, BA's ... read more

Multi-omics Mendelian randomization and machine learning identify candidate therapeutic targets for Alzheimer's and Parkinson's diseases.

Mammalian genome : official journal of the International Mammalian Genome Society Jan 16, 2026

Neurodegenerative diseases (NDDs), including Alzheimer's disease (AD) and Parkinson's disease (PD), are major public health challenges lacking effective therapies. To identify potential drug targets, we integrated large-scale genome-wide association ... read more

Humans Machine Learning Animals Molecular Docking Simulation Transcriptome Genome-Wide Association Study Mice Multiomics Disease Models, Animal Parkinson Disease Mendelian Randomization Analysis Alzheimer Disease Quantitative Trait Loci

A clinically translatable pathomics-based predictive model for preoperative prognostic assessment in patients with endometrial cancer.

Discover oncology Jan 16, 2026

The real world of Italian new-generation radiologists: challenges and career expectations.

La Radiologia medica Jan 16, 2026

PURPOSE: To assess the perceived work-life balance, sources of job dissatisfaction, and career aspirations in the new generation of residents and young radiologists. MATERIALS AND METHODS: A national survey was conducted among young members of the It... read more

Optimisation of Maslow's hierarchy of needs-based survey form for nursing home residents using machine learning.

Ergonomics Jan 16, 2026

The global increase in the elderly population necessitates accurate assessment of the needs of individuals residing in nursing homes. This study aims to optimise a 30-item questionnaire developed on the basis of Maslow's Hierarchy of Needs by employi... read more

Predicting epistasis across proteins by structural logic.

Proceedings of the National Academy of Sciences of the United States of America Jan 16, 2026

Accurately predicting the phenotypic consequences of genetic variation is a major challenge for precision medicine. The problem is exacerbated by epistatic interactions, nonadditive effects between genetic variants that produce unexpected phenotypes.... read more

Humans Machine Learning Algorithms Saccharomyces cerevisiae Epistasis, Genetic Fumarate Hydratase

Diagnostic Performance of Artificial Intelligence-Assisted Echocardiography in Identifying Hypertrophic Cardiomyopathy: A Systematic Review and Meta-Analysis.

Cardiology in review Jan 16, 2026

Hypertrophic cardiomyopathy (HCM), the most common genetic cardiac disease, remains underdiagnosed most of the time due to overlapping echocardiographic characteristics and subjective interpretations. This systematic review and meta-analysis aimed to... read more

Unified Graph-Based Interatomic Potential for Perovskite Structure Optimization.

Journal of chemical information and modeling Jan 16, 2026

Halide perovskites (HaPs) hold immense potential for applications such as optoelectronics and catalysis. Their vast compositional space, spanning bulk alloys, defects, impurities, surfaces, and surface defects, poses significant challenges for effici... read more

Opportunities and Challenges in Precision Neurotherapeutics.

Annual review of biomedical engineering Jan 16, 2026

Precision neurotherapeutics represents a transformative paradigm shift from standardized "one-size-fits-all" treatments of neurological, neurodegenerative, and/or psychiatric disorders toward individualized interventions that leverage patient-specifi... read more

Order-Aware Deep Learning for Drug Combination Benefit Prediction in Cancer Cell Lines.

IEEE journal of biomedical and health informatics Jan 16, 2026

Drug combination therapy has exhibited favorable effects in treating cancer patients, with less toxicity and adverse reactions compared to monotherapy. To accelerate the discovery of therapeutic drug combinations, numerous computational methods have ... read more

Artificial Intelligence Medical Compendium