Latest AI and machine learning research in preventive care for healthcare professionals.
AIMS: To evaluate the acceptability, applicability, and cost-utility of AI-powered portable fundus c...
Autism spectrum disorder (ASD) presents significant challenges in diagnosis and intervention due to ...
Non-target screening (NTS) using chromatography coupled to high-resolution mass spectrometry (HRMS),...
Parkinson's disease, currently the fastest-growing neurodegenerative disorder globally, has seen a 5...
Cardiovascular disease (CVD) is rising as a significant concern for the healthcare sector around the...
This study investigated a series of deep learning (DL) models for the objective assessment of four c...
Adults with opioid use disorder (OUD) are at increased risk for opioid-related complications and rep...
Screening for diabetic retinopathy has been shown to reduce the risk of sight loss in people with di...
Receptor-interacting protein kinase 1 (RIPK1) serves as a critical mediator of cell necroptosis and ...
The Blood-Brain Barrier (BBB) is a selective barrier between the Central Nervous System (CNS) and th...
OBJECTIVE: Amorphous solid dispersion (ASD) is widely utilized to enhance the solubility and bioavai...
Chronic noncommunicable diseases (NCDS) are often characterized by gradual onset and slow progressio...
BACKGROUND: Breast cancer (BC) is the most frequently diagnosed cancer and the leading cause of canc...
IMPORTANCE: Retinopathy of prematurity (ROP) is the leading cause of preventable childhood blindness...
BACKGROUND AND STUDY AIMS: Determining adenoma detection rate (ADR) and serrated polyp detection rat...
IntroductionThyroid cancer is a common malignant tumor, and early diagnosis and timely treatment are...
Bone marrow cytology plays a key role for the diagnosis and classification of hematological disease ...
BACKGROUND: In colorectal cancer (CRC) screening programs, accurately identifying individuals at hig...
Focal adhesion kinase (FAK) is a critical drug target implicated in various disease pathways, includ...
In this study, we utilized machine learning techniques to identify potential inhibitors of the MERS-...
OBJECTIVE: To develop a stratified screening tool through machine learning approaches for the Center...