AI Medical Compendium

Continuous Lower Limb Biomechanics Prediction via Prior-Informed Lightweight Marker-GMformer.

Cyborg and bionic systems (Washington, D.C.) Jan 15, 2026

Lower limb musculoskeletal dynamics simulation has been widely used to estimate the lower limb mechanics, but challenges such as heavy reliance on force plates, poor model generalization, and high computational load hindered its application in real-t... read more

Healthcare utilization and chronic condition clusters in multimorbidity patients using weighted k-means: a register-based study in Denmark.

Health information science and systems Jan 15, 2026

BACKGROUND: The growing burden of multimorbidity challenges the healthcare system due to increased healthcare utilization and uncoordinated care. Identifying patients with multimorbidity who have high healthcare utilization is essential to improve ma... read more

Lymph Node Metastasis-Associated Spatiotemporal Mapping of the TFF3-Linked Niche in Breast Cancer: Integrating Radiogenomic Signatures with Immune-Ecosystem Remodeling.

Research (Washington, D.C.) Jan 15, 2026

Primary breast cancer (PBC) with axillary lymph node metastasis (ALNM+) is associated with distinct clinical outcomes, including reduced survival (The Cancer Genome Atlas/Foshan cohorts, P < 0.05) and an attenuated response to anti-programmed cell de... read more

Multi-Task Cascade Forest Framework for Predicting Acute Toxicity across Species.

Research (Washington, D.C.) Jan 15, 2026

Evaluating chemical toxicity and its potential hazards to human health and the environment is essential in diverse fields, including medicine, industry, and agriculture. Multi-species acute toxicity prediction (MSATP) is critical in toxicity assessme... read more

SyMetrics: an integrated machine learning model for evaluating the pathogenicity of synonymous variants in the human genome.

NAR genomics and bioinformatics Jan 15, 2026

Synonymous single nucleotide variants (sSNVs), traditionally seen as neutral, are now recognized for their biological impact. To assess their relevance, we developed SyMetrics, a framework that integrates predictors of splicing, RNA stability, evolut... read more

Humans Machine Learning Software Polymorphism, Single Nucleotide Genome, Human Silent Mutation

FLYNC: a machine-learning-driven framework for discovering long noncoding RNAs in Drosophila melanogaster.

NAR genomics and bioinformatics Jan 15, 2026

Noncoding RNAs have increasingly recognized roles in critical molecular mechanisms of disease. However, the noncoding genome of Drosophila melanogaster, one of the most powerful disease model organisms, has been understudied. Here, we present FLYNC-F... read more

Machine Learning Software Animals Transcriptome RNA, Long Noncoding Drosophila melanogaster

Simple Things.

Professional case management Jan 15, 2026

At a time when the geopolitical environment (including health care) seem chaotic and daunting, there are some timeless aspects that only the humanity of case managers can bring to the table. These "simple things" may be the most important-and are wha... read more

Shape matters: Predicting Huntington's disease using progression modelling.

Computer methods and programs in biomedicine Jan 15, 2026

BACKGROUND: Despite evidence of group-level differences in striatal morphometry among persons with Huntington's Disease (PwHD), current models of HD progression used for participant selection and assessment of treatment outcomes in clinical trials do... read more

Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis.

Medical image analysis Jan 15, 2026

Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complementary signals from multimodal data. However, multimodal diagnosis in ophthalmic practice is typically challenged in terms of data heterogeneity, pote... read more

Rethinking U-Net architecture in medical imaging: Advancing the efficient and interpretable UKAN-CBAM framework for colorectal polyp segmentation.

Artificial intelligence in medicine Jan 15, 2026

Prompt detection of colorectal polyps is essential for preventing colorectal cancer, a leading cause of cancer-related deaths worldwide. However, manual detection through medical imaging faces significant challenges, including high costs, reliance on... read more

Artificial Intelligence Medical Compendium