AI Medical Compendium

Scientific Writing in Cytopathology-Educational Series. A Practical Guide for the Next Generation: Where do I start? Understanding the need for Scientific Writing in Cytopathology (Part 1).

Cytopathology : official journal of the British Society for Clinical Cytology Jul 17, 2026

UNLABELLED: Scientific writing (SW) is an essential component of academic development in cytopathology; however, many professionals face difficulties when attempting to initiate the writing process. This series arises from a commonly shared challenge... read more

The accuracy of electrostatic interactions captured by AI protein structure prediction models.

Proceedings of the National Academy of Sciences of the United States of America Jul 17, 2026

A variant of the U1A protein containing four substitutions to ionizable residues was generated serendipitously due to a miscommunication. Biophysical measurements reveal this variant has twice the helical structure of wild-type U1A and is trimeric, u... read more

Deep learning reveals FLAD1-mediated mitochondrial metabolic reprogramming in hypoxic tumors.

Cell reports Jul 17, 2026

Hypoxia, a hallmark of solid tumors, drives malignant progression and represents a major therapeutic challenge. Metabolic reprogramming induced by hypoxia creates unique metabolic vulnerabilities that can be exploited therapeutically. Here, we system... read more

GraphGDel: Constructing and Learning Graph Representations of Genome-Scale Metabolic Models for Growth-Coupled Gene Deletion Prediction.

IEEE transactions on computational biology and bioinformatics Jul 17, 2026

In genome-scale constraint-based metabolic models, gene deletion strategies are essential for achieving growth-coupled production, where cell growth and target metabolite synthesis occur simultaneously. Despite the inherently networked nature of geno... read more

Identifying Cancer Driver Genes Based on Vision Transformer and Hierarchical Feature Fusion Module.

IEEE transactions on computational biology and bioinformatics Jul 17, 2026

Cancer is a global public health problem that poses a huge threat to human life and health. The identification of cancer driver genes helps to discover the intrinsic mechanisms of cancer occurrence and development. Existing deep learning-based method... read more

Diffusion-Based Quality Control of Medical Image Segmentations across Organs.

IEEE transactions on medical imaging Jul 17, 2026

Medical image segmentation using deep learning (DL) has enabled the development of automated analysis pipelines for large-scale population studies. However, state-of-the-art DL methods are prone to hallucinations, which can result in anatomically imp... read more

Dynamic Spatio-Temporal Fusion Network Via Hierarchical Self-Attention for Seizure Prediction.

IEEE journal of biomedical and health informatics Jul 17, 2026

The use of deep learning for EEG-based seizure prediction has grown rapidly in recent years. However, existing studies fail to effectively encode spatial variations under temporal dynamics. This limitation impedes the modeling of complex spatiotempor... read more

Discovering Utility-driven Interval Rules.

IEEE transactions on pattern analysis and machine intelligence Jul 17, 2026

For artificial intelligence, high-utility sequential rule mining (HUSRM) is a knowledge discovery method that can reveal the associations between events in the sequences. Recently, abundant methods have been proposed to discover high-utility sequenti... read more

FAIR Data Standards for AI in Plant Biology: Current Practice and Case Studies.

Journal of experimental botany Jul 17, 2026

Artificial Intelligence (AI) has become a central analytical approach in plant science, supporting prediction, pattern discovery, and integration across molecular, phenotypic, and environmental data. While methodological advances have been rapid, pro... read more

SPPIPred: Stacking-based ensemble learning model for identification of protein-protein interaction.

PloS one Jul 17, 2026

Protein-protein interactions (PPIs) are essential for various biological functions and are crucial in drug discovery, signaling pathways, and network reconstruction. This study presents SPPIPred, an advanced machine learning-based model designed for ... read more

Artificial Intelligence Medical Compendium