AI Medical Compendium

Deep learning of 777 K bulk transcriptomes reveals human-mouse gene conservation beyond DNA sequence similarity.

Communications biology May 27, 2026

Mice are widely used as biomedical research models, yet results from mouse gene studies often differ from equivalent studies in humans despite similarities in DNA sequences. Here we show that gene expression patterns provide additional insight into h... read more

A deep mutational scanning-informed protein language model predicts SARS-CoV-2 evolution dynamics with spatiotemporal resolution.

Nature microbiology May 27, 2026

Early identification of emerging dominant variants of pathogens such as SARS-CoV-2 is important for effective public health responses, yet existing approaches are not feasible for real-time surveillance. Here we introduce DeepCoV (DMS-Empowered Evolu... read more

Incorporating geospatial environmental exposure indicators in individual hypertension risk prediction: a multi-stage machine learning pipeline.

Journal of exposure science & environmental epidemiology May 27, 2026

BACKGROUND: Environmental exposures are known contributors to chronic disease but are rarely incorporated into risk prediction models. OBJECTIVE: We demonstrate a staged machine learning approach to incorporating geospatially measured neighborhood so... read more

Toward trustworthy healthcare AI: designing academic research for translation readiness.

Molecular systems biology May 27, 2026

In controlled proof-of-concept studies, healthcare artificial intelligence (AI) systems now routinely match or exceed specialist-level performance. Despite these impressive technical achievements, most systems remain confined to research settings, hi... read more

A clinical neuroimaging platform for rapid, automated lesion detection and personalized post-stroke outcome prediction.

NPJ digital medicine May 27, 2026

Accurately predicting long-term outcomes after stroke remains a key challenge in personalized medicine. Here, we present a neuroimaging platform that forecasts individualized cognitive outcomes in patients with ischemic stroke using deep learning-bas... read more

Accurate quantification in proteomics with QuantUMS.

Nature biotechnology May 27, 2026

In mass-spectrometry-based proteomics it remains challenging to ensure the accuracy of protein quantities. Here we introduce QuantUMS (quantification using an uncertainty-minimizing solution), a machine learning-based method that dynamically tunes th... read more

Correction to "Correspondence on "A Novel Framework for Airshed Delineation and PM2.5 Estimation across India Using Machine Learning and Spatial Clustering"".

Environmental science & technology May 27, 2026

Time-updated explainable machine learning predicts short-term mortality in peritoneal dialysis patients.

Renal failure May 27, 2026

Objective: This study aimed to develop and validate a time-updated, explainable machine learning (ML) early-warning system for short-term mortality risk in patients with continuous ambulatory peritoneal dialysis (CAPD). Methods: Multiple supervised M... read more

A machine learning-based interpretable model for predicting pancreatic cancer in chronic pancreatitis patients with focal pancreatic lesions.

BMC cancer May 27, 2026

BACKGROUND: Pancreatic cancer (PC) is deadly and distinguishing it from inflammatory conditions in chronic pancreatitis (CP) patients is challenging. We aimed to develop machine learning models to predict PC in CP patients with focal pancreatic lesio... read more

AI-assisted health management and older adults' autonomy: an empirical ethics study of privacy, algorithmic reliance, and relational dynamics.

BMC health services research May 27, 2026

BACKGROUND: AI-assisted health management is increasingly integrated into healthcare practices for older adults, offering new possibilities for continuous monitoring and personalized care. However, these technologies also raise significant ethical co... read more

Artificial Intelligence Medical Compendium