Latest AI and machine learning research in stds for healthcare professionals.
As AI systems are increasingly deployed in safety-critical application domains (e.g., autonomous dri...
Abstract Background Breast and cervical cancer screening in Ghana remains low, and several analyses ...
Terminal User Interfaces (TUIs) combine the stateful, screen-oriented behaviour of GUIs with termina...
Background: HIV testing is the entry point into the diagnosis, treatment and viral suppression casca...
Radiomics and imaging foundation models promise non-invasive biomarkers of tumour biology, yet predi...
Parkinsons Disease (PD) is a progressive neurodegenerative disorder which significantly affects moto...
Objective This study was designed to evaluate the diagnostic performance of fluorescence-based rapid...
Accurate grading of cervical biopsies on Hematoxylin and Eosin (H&E) stained whole slide images (WSI...
Dense per-step supervision is an appealing remedy for sparse-reward, long-horizon LLM agents: reward...
Background Bloodstream infections are a major cause of mortality, yet the primary testing method, bl...
Introduction: Plasma metagenomic next-generation sequencing (mNGS) may detect pathogens in solid org...
Prediction of B-cell epitopes can assist in reducing costly wet-lab screening in vaccine design, dia...
Gastric-type adenocarcinoma of the uterine cervix (GAS) is a rare, aggressive cervical cancer unrela...
Head and neck cancers (HNC) represent a significant global health burden, with accurate tumor deline...
Viral phenotypes such as host and tissue tropism are critical determinants of viral infection and tr...
Testing for distinctness, uniformity, and stability (DUS) is a requirement for plant variety registr...
There is interest in the use of recent single-cell spatial transcriptomic technologies to gain biolo...
Modern medicine relies on heterogeneous data sources spanning radiology, pathology, text reports, an...
Community data resources that aggregate datasets across studies are critical infrastructure for mode...
Explanations of multiple instance learning (MIL) models are widely used for validation and discovery...
Tuberculosis remains a leading cause of infectious disease mortality, and the continued emergence of...