Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: This research aimed to explore the efficacy and safety of electroacupuncture in promotin...
This paper introduces a novel dataset designed to support the development of AI-driven driver monito...
There is increasing interest in using assistive robotic devices to support motor re-learning and rec...
BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for t...
Disinfection has been applied widely for the removal of antibiotic resistance genes (ARGs) to curb t...
BACKGROUND: Psychological distress is prevalent among newly diagnosed cancer patients, often exacerb...
Intranasal oxytocin (IN-OXT) has shown some promises in rescuing social deficits in autism spectrum ...
The COmmunicating Narrative Concerns Entered by RNs (CONCERN) early warning system (EWS) uses real-t...
INTRODUCTION: Membranous nephropathy is an autoimmune kidney disease and the most common cause of ne...
As AI is expected to take on the role of providing workplace feedback to employees in the future, un...
BACKGROUND: Unlike lung adenocarcinoma, patients with advanced squamous carcinoma exhibit a low prop...
IMPORTANCE: Historically, fewer than 10% of adults with cancer have enrolled in clinical trials. Com...
Serendipity Berry Sweet Protein (sweelin) is a novel hyper-sweet thermophilic protein designed using...
Brain-computer interfaces (BCIs) represent a transformative innovation in healthcare, enabling direc...
AIMS: Effective intervention for mild cognitive impairment (MCI) is key for preventing dementia. As ...
As we enter the 21st century, a new wave of transformation is occurring in health care, mainly throu...
Prostate cancer (PCa) diagnosis faces significant challenges due to its complex pathological charact...
Drug-induced osteotoxicity refers to the harmful effects certain pharmaceuticals have on the skeleta...
Food computing refers to the integration of digital technologies, such as artificial intelligence (A...
A framework for parameter estimation and uncertainty quantification is crucial for understanding the...
Cardiotoxicity refers to the inhibitory effects of drugs on cardiac ion channels. Accurate predictio...