AI Medical Compendium

Multicenter Histology Image Integration and Multiscale Deep Learning Support Machine Learning-Enabled Pediatric Sarcoma Classification.

Cancer research Apr 2, 2026

UNLABELLED: Pediatric sarcomas present diagnostic challenges due to their rarity and diverse subtypes, often requiring specialized pathology expertise and costly genetic tests. To overcome these barriers, we developed a computational pipeline leverag... read more

Transcriptomic Plasticity Is a Hallmark of Metastatic Pancreatic Cancer.

Cancer research Apr 2, 2026

UNLABELLED: Metastasis is the leading cause of cancer deaths. To develop strategies for intercepting metastatic progression, a better understanding of how tumor cells adapt to vastly different organ contexts is needed. To investigate this question, a... read more

Human versus artificial intelligence: evaluating ChatGPT's performance in conducting published systematic reviews with meta-analysis in chronic pain research.

Regional anesthesia and pain medicine Apr 2, 2026

INTRODUCTION: Artificial intelligence (AI), particularly large-language models like Chat Generative Pre-Trained Transformer (ChatGPT), has demonstrated potential in streamlining research methodologies. Systematic reviews and meta-analyses, often cons... read more

Deciphering risk factors for severe postherpetic neuralgia in patients with herpes zoster: an interpretable machine learning approach.

Regional anesthesia and pain medicine Apr 2, 2026

INTRODUCTION: Postherpetic neuralgia (PHN) is a common complication of herpes zoster (HZ). This study aimed to use a large real-world electronic medical records database to determine the optimal machine learning model for predicting the progression t... read more

Generative Artificial Intelligence for Medical Summarization in Prostate Cancer: Comparative Evaluation by Physicians and Patient Advocates-A Pilot Study.

JCO clinical cancer informatics Apr 2, 2026

PURPOSE: The exponential growth of scientific publications presents increasing challenges for clinicians and patients seeking to access up-to-date medical information. Language models (LMs) have emerged as powerful tools for generating and summarizin... 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

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

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

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

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

Artificial Intelligence Medical Compendium