AI Medical Compendium

Benchmarking single cell transcriptome matching methods for incremental growth of cell atlases

bioRxiv Mar 29, 2026

Background: The advancement of single cell technologies has driven significant progress in constructing a multiscale, pan-organ Human Reference Atlas for healthy human cells. Many multi-faceted cell atlases for different organs, species, and diseases... read more

bioinformatics

Protein Electrostatic Properties are Finetuned Through Evolution

bioRxiv Mar 29, 2026

Ionization states play crucial roles in protein functions. Yet despite decades of research, predicting protein pKa values emains a formidable challenge. Here, we present KaML-ESMs, neural networks built on the ESM protein language models and trained ... read more

biophysics

Single-Cell Analysis of Microglia and Monocyte Dynamics Uncover Distinct TNF-a-driven Neuroimmune Signatures after Intracerebral Hemorrhage

bioRxiv Mar 28, 2026

Innate immune cells contribute to both secondary brain injury and repair following intracerebral hemorrhage (ICH). However, the specific signaling pathways that govern initial inflammatory and subsequent reparative myeloid programs in living patients... read more

bioinformatics

faers: A High-Fidelity Framework and R/Bioconductor Package for Precision Adverse Event Surveillance

medRxiv Mar 28, 2026

Background: The FDA Adverse Event Reporting System (FAERS) is a critical pillar of post-marketing pharmacovigilance; however, its utility is constrained by data heterogeneity, pervasive reporting redundancies, and inconsistent medical terminology. Th... read more

genetic and genomic medicine

A Comparative Study in Surgical AI: Datasets, Foundation Models, and Barriers to Med-AGI

medRxiv Mar 28, 2026

Recent Artificial Intelligence (AI) models have matched or exceeded human experts in several benchmarks of biomedical task performance, but have lagged behind on surgical image-analysis benchmarks. Since surgery requires integrating disparate tasks -... read more

surgery

Nanoparticle-based immunotherapeutic strategies to overcome cancer drug resistance: From biological barriers to artificial intelligence-driven design.

Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy Mar 28, 2026

Although cancer immunotherapy has revolutionized oncology, its clinical efficacy remains substantially limited by both primary and acquired resistance. These resistance mechanisms are largely driven by complex biological barriers within the tumor mic... read more

Ultrasensitive electrochemical detection of clinically relevant genetic mutations via nanoparticle surface localized amplification and machine learning.

Biosensors & bioelectronics Mar 28, 2026

Genetic mutation detection is crucial for early disease diagnosis, prognosis assessment, and the implementation of precision medicine, as it enables the identification of key biomarkers that directly influence treatment decisions and patient outcomes... read more

A Machine learning framework for calf muscle fatigue assessment using IMU sensors and EMG-Based labeling.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Mar 28, 2026

PURPOSE: Calf muscle fatigue detection is essential for sports performance monitoring, injury prevention, rehabilitation, and tasks involving prolonged standing or repetitive lower-limb movements. While surface Electromyography (sEMG) is commonly use... read more

OOD-SEG: Exploiting out-of-distribution detection techniques for learning image segmentation from sparse multi-class positive-only annotations.

Medical image analysis Mar 28, 2026

Despite significant advancements, segmentation based on deep neural networks in medical and surgical imaging faces several challenges, two of which we aim to address in this work. First, acquiring complete pixel-level segmentation labels for medical ... read more

Evaluating ChatGPT's advice and recommendations regarding exercise for people with inclusion body myositis.

Neuromuscular disorders : NMD Mar 28, 2026

The use of Large Language Models for exercise prescription in the general population has been shown to be safe and effective but not comprehensive compared to that of physiotherapists. In rare disease groups, where experts are less accessible, Large ... read more

Artificial Intelligence Medical Compendium