Latest AI and machine learning research in clinical trials for healthcare professionals.
Immunotherapy is becoming increasingly important, but the overall response rate is relatively low in...
Levothyroxine is one of the most prescribed drugs in the western world. Dosing is challenging due to...
Large randomized trials in sepsis have generally failed to find effective novel treatments. This is ...
INTRODUCTION: The identification of a new adverse event (AE) caused by a drug product is one of the ...
The intricate nature of the blood-brain barrier (BBB) poses a significant challenge in predicting dr...
Monitoring drug efficacy is significant in the current concept of companion diagnostics in metastati...
Machine teaching, a machine learning subfield, may allow for rapid development of artificial intelli...
The early identification of vulnerable patients has the potential to improve outcomes but poses a su...
Clinical trials evaluate the safety and efficacy of treatments for specific diseases. Ensuring these...
Intensive Care Units (ICUs) have undergone enhancements in patient safety, and artificial intelligen...
This paper discusses the impact of artificial intelligence (AI) on occupational health and safety. A...
PURPOSE: As online health information-seeking surges, concerns mount over the quality and safety of ...
In this work, we focus on obtaining insights of the performances of some well-known machine learning...
OBJECTIVE: Tuberous sclerosis complex (TSC) results from overactivity of the mechanistic target of r...
Knee rehabilitation therapy after trauma or neuromotor diseases is fundamental to restore the joint ...
Reconstructing transient states presents significant challenges, particularly within complex pipe ne...
Causal machine learning (ML) offers flexible, data-driven methods for predicting treatment outcomes ...
Socially assistive robots (SARs) have been suggested as a platform for post-stroke training. It is n...
AIM: Treatment of periodontitis, a chronic inflammatory disease driven by biofilm dysbiosis, remains...
The existing methodologies for allocating highway safety improvement funding closely rely on the uti...
Endoscopy is the primary modality for detecting asymptomatic esophageal squamous cell carcinoma (ESC...