Artificial intelligence (AI) is increasingly applied to clinical trial risk assessment, aiming to improve safety and efficiency. This scoping review analyzed 142 studies published between 2013 and 2024, focusing on safety (nā=ā55), efficacy (nā=ā46),... read more
Interdisciplinary sciences, computational life sciences
Jul 30, 2025
Brain tumors (BT) can cause fatal outcomes by affecting body functions, making precise early detection via magnetic resonance imaging (MRI) examinations critical. The complex variations found in cells of BT may pose challenges in identifying the type... read more
BACKGROUND: Robotic systems for chemotherapy preparation offer improved accuracy and staff safety but require substantial capital investment. This study assessed the economic performance of a domestically developed robotic chemotherapy compounding sy... read more
We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukocyte antigens (HLAII) on the surface of antigen presenting cells. HLAIIPred is trained using a Transformer-based neural network and a dataset comprisin... read more
Interactions of proteins with other molecules are often mediated by a set of critical binding motifs on their surfaces. Most traditional binder designs relied on motifs borrowed from known binder molecules, which highly restricted their applicability... read more
Urban waste-collection centres (WCCs) routinely overflow because maintenance routes are scheduled reactively rather than on data-driven forecasts. Overspill, odour, and leachate therefore threaten public health and sustainability targets in rapidly g... read more
BACKGROUND: Artificial intelligence and large language models (LLMs)-particularly GPT-4 and GPT-4o-have demonstrated high correct-answer rates in medical examinations. GPT-4o has enhanced diagnostic capabilities, advanced image processing, and update... read more
BACKGROUND: The incidence of Gastrointestinal Neoplasms (GI neoplasms) continues to increase globally. Colorectal cancer (CRC), in particular, has emerged as the second leading cause of cancer-related mortality worldwide. Now, Specific pathogenic bac... read more
Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. However, sharing sensitive raw medical data with third parties for analysi... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.