AbstractPhylogenetic comparative methods typically rely on an often unstated and potentially unrealistic assumption: that phenotypes evolve within a flat Euclidean space. We advocate for explicitly considering the "geometry of macroevolution," propos... read more
Large language models excel at processing complex clinical data and advanced reasoning, yet domain-specific adaptation is essential to realize their full potential in fields such as Alzheimers disease and related dementias (ADRD). Here, we present a ... read more
Epilepsy is a chronic neurological disorder requiring multi-faceted management, including seizure detection, syndrome diagnosis, prognostication, antiseizure medication recommendation, epileptogenic zone localization, and surgical outcome prediction.... read more
Wastewater-based epidemiology provides a scalable, noninvasive framework for population-level infectious disease monitoring, but traditional assays limit detection breadth and genomic insight. To address these constraints, we conducted targeted hybri... read more
In recent years, progress in medical informatics and machine learning has been accelerated by the availability of openly accessible benchmark datasets. However, patient-level electronic medical record (EMR) data are rarely available for teaching or m... read more
Social determinants of health (SDoH), the social, economic, and environmental conditions shaping health trajectories, contribute to chronic disease risk comparably to clinical factors, yet most predictive studies model conditions independently, obscu... read more
Purpose: Pneumonia detection in chest X-rays (CXRs) is complicated by high inter-observer variability and overlapping radiographic patterns. While deep learning (DL) solutions show promise, limitations in generalisability and explainability hinder cl... read more
Cancer data standardization requires converting unstructured pathology reports into structured registry variables, a mostly manual and resource-intensive task. We evaluated two automated extraction platforms: Brim Analytics, an LLM-based system that ... read more
Prostate cancer (PCa) is the second most common cancer and cause of cancer death in American men. Existing risk prediction methods have limited accuracy and reproducibility, resulting in difficulty in predicting disease severity. We demonstrate the d... read more
Despite improvements in access to clean water and sanitation, typhoid fever outbreaks continue to cause substantial morbidity and mortality worldwide. The World Health Organization (WHO) recommends the use of typhoid conjugate vaccines (TCVs) for out... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.