AI Medical Compendium

Comments on: "the use of machine learning in predicting clinical outcomes in emergency pre-examination triage: A systematic review of the literature".

International emergency nursing Apr 2, 2026

Reconstructing tumor tissues in 3D: From organoids to bioengineered niches.

Cell stem cell Apr 2, 2026

Tumor tissue engineering, integrating organoid, microfluidic, and biofabrication technologies, has opened new avenues for cancer research. Leveraging advanced bioengineering and biomaterials, these 3D models capture tumor architecture, cellular heter... read more

Atomic unification in molecular AI.

Cell Apr 2, 2026

Artificial intelligence has rapidly advanced molecular science, yet progress has largely unfolded through specialized models tailored to specific tasks. In this issue of Cell, Peng et al. introduce PocketXMol, a unified 3D generative framework that r... read more

GFETM: Genome foundation-based embedded topic model for scATAC-seq modeling.

Cell systems Apr 2, 2026

Single-cell assay for transposase-accessible chromatin with sequencing (scATAC-seq) enables investigation of open chromatin landscapes at single-cell resolution. However, analyzing scATAC-seq data remains challenging due to inherent sparsity and nois... read more

Prospectively screening for venous thromboembolism in patients with esophagectomy for cancer improves survival: The complexity of simplicity.

The Journal of thoracic and cardiovascular surgery Apr 2, 2026

BACKGROUND: We implemented a prospective screening program to detect deep venous thromboembolism and define its prevalence in patients with esophageal cancer undergoing esophagectomy. We sought to delineate contributions of the underlying cancer and ... read more

Deep-Learning-Assisted Fluorescence Sensor Array for Quantitative Screening of Perfluoroalkyl Substances in Water.

Analytical chemistry Apr 2, 2026

The severe environmental and health risks posed by perfluoroalkyl substances (PFASs), coupled with the limitations of conventional detection methods, have highlighted the urgent need to develop efficient analytical platforms. However, the simultaneou... read more

Machine learning-based DNA microarray analysis for disease detection using the MICRO-AI framework.

Science progress Apr 2, 2026

DNA microarray is a transformative technique in genomics, enabling simultaneous examination of thousands of gene expression levels. However, noise, high dimensionality (typically 12,000-22,000 genes), small sample sizes (155-1097 samples) and class i... read more

CHAOS - A Large-scale Database for σ-Profiles and Other Molecular Descriptors.

Journal of chemical information and modeling Apr 2, 2026

σ-Profiles obtained from quantum-chemical calculations are key molecular descriptors for solvent selection, thermodynamic modeling, and data-driven molecular design. However, existing σ-profile libraries are limited in size and are difficult to combi... read more

Machine learning-driven multidimensional tea profiling from a single SERS spectrum: toward practical application.

The Analyst Apr 2, 2026

Multidimensional tea profiling is crucial for consumer experience, brand reputation, and market integrity. Here, we introduce a rapid and systematic strategy for multidimensional tea authentication based on a single surface-enhanced Raman spectroscop... read more

Cardiology at the Threshold of a New Biological Era: The Role of Multiomics and Metabolomics.

Kardiologiia Apr 2, 2026

Modern cardiology is entering a phase where improving the prevention, diagnosis, and treatment of cardiovascular diseases (CVD) necessitates a deeper understanding of the underlying biological mechanisms. The traditional clinical model, relying prima... read more

Artificial Intelligence Medical Compendium