Latest AI and machine learning research in clinical trials for healthcare professionals.
G protein-coupled receptors (GPCRs) remain a focal point of research due to their critical roles in ...
To overcome the limitations of SERS in food safety monitoring, particularly significant interference...
To assess the efficacy of a deep learning platform for managing symptoms in chemotherapy patients, a...
Interactions between vehicle-pedestrian at intersections often lead to safety-critical situations. T...
PURPOSE: Pathologists diagnose prostate cancer (PCa) on hematoxylin and eosin (HE)-stained sections ...
INTRODUCTION: Combining repetitive transcranial magnetic stimulation (rTMS) with robotic training co...
ObjectivesTo meet the high demand for polymerase chain reaction (PCR) tests to diagnose COVID-19 and...
The advancement of large language models (LLMs) presents promising opportunities to enhance evidence...
Driver drowsiness remains a critical factor in road safety, necessitating the development of robust ...
Artificial Intelligence is expected to be a value-adding intervention in HRM processes; however, the...
The traditional clinical trial monitoring process, which relies heavily on site visits and manual re...
Drug safety is affected by multiple molecular properties and safety assessment is critical for clini...
INTRODUCTION: To investigate the potential of using artificial intelligence (AI), specifically large...
: Early safety outcomes following transcatheter aortic valve implantation (TAVI) for severe aortic s...
BACKGROUND: Interventions leading to avoidance of supine position and thus reducing the likelihood o...
Mathematical modelling has proven to be a valuable tool in predicting the delivery and efficacy of m...
The nonlinear Telegraph equation appears in a variety of engineering and science problems. This pape...
Linear and volumetric analysis are the typical methods to measure tumor size. 3D volumetric analysis...
Integrating artificial intelligence (AI) into radiation oncology has revolutionized clinical workflo...
Although pulmonary vein isolation (PVI) has become the cornerstone ablation procedure for atrial fib...
Recent advancements in machine learning (ML) for analyzing heterogeneous treatment effects (HTE) are...