AI Medical Compendium

Transcriptomic analyses reveal regulatory plasticity and metabolic reprogramming underlying genotype-specific microspore embryogenesis in wheat.

Plant cell reports Feb 4, 2026

Embryogenic efficiency in wheat microspores is driven by epigenetic regulation, homoeolog expression bias, and genotype-specific genomic variation, with coordinated remodeling of metabolic pathways and cell-wall dynamics establishing a favourable cel... read more

Comparison of Image Quality Reconstructed Using Iterative Reconstruction and Deep Learning Algorithms Under Varying Dose Reductions in Dual-Energy Carotid CT Angiography.

Journal of imaging informatics in medicine Feb 4, 2026

Carotid CT angiography (CTA) is valuable for diagnosing carotid artery disease but involves radiation and contrast agent risks. Deep Learning Image Reconstruction (DLIR-H) shows potential for maintaining image quality in low-dose protocols. In this p... read more

Radiomics of Pericoronary Adipose Tissue and CT-FFR to Predict Major Adverse Cardiovascular Events in Patients with T2DM Complicated by CAD.

Journal of cardiovascular translational research Feb 4, 2026

This study aims to integrate lesion-specific pericoronary adipose tissue (PCAT) radiomics analysis with existing clinical and imaging methods under the guidance of CT-derived fractional flow reserve (CT-FFR), to develop and validate an interpretable ... read more

Single-cell Transcriptomic Profiling Reveals Diagnostic of T Cell-platelet Aggregates in Peripheral Blood for Coronary Vulnerable Plaques.

Journal of cardiovascular translational research Feb 4, 2026

Acute coronary syndrome, driven by vulnerable plaque (VP) instability, is a major cause of cardiovascular mortality. Current diagnostic methods for VPs are limited by invasiveness or low specificity, highlighting the need for non-invasive biomarkers.... read more

An ensemble machine learning classifier for Parkinson's disease diagnosis using optical coherence tomography angiography.

Scientific reports Feb 4, 2026

Parkinson's disease (PD) is the fastest-growing neurodegenerative disorder worldwide, yet its early diagnosis remains a major challenge due to the absence of reliable biomarkers. Emerging evidence indicates that retinal microvascular alterations, det... read more

Open-source AI tool beats giant LLMs in literature reviews - and gets citations right.

Nature Feb 4, 2026

Design and evaluation of semantically-valid negative samples integration techniques for scalable semi-automated drug repurposing prediction pipelines in rare disease research.

BMC bioinformatics Feb 4, 2026

Mapping Still Matters: Coarse-Graining with Machine Learning Potentials.

Journal of chemical information and modeling Feb 4, 2026

Coarse-grained (CG) modeling enables molecular simulations to reach time and length scales inaccessible to fully atomistic methods. For classical CG models, the choice of mapping, that is, how atoms are grouped into CG sites, is a major determinant o... read more

Comparative analysis of Chinese large language model performance on atrial fibrillation questions.

BMC cardiovascular disorders Feb 4, 2026

Explainable machine learning model for predicting short-term outcomes in sepsis- induced coagulopathy.

BMC medical informatics and decision making Feb 4, 2026

BACKGROUND: Sepsis-Induced coagulopathy (SIC) is not only a common complication in the development process of sepsis but also related to poor prognosis of sepsis. We aimed to establish a machine learning (ML) model to predict the 28-day mortality ris... read more

Artificial Intelligence Medical Compendium