Latest AI and machine learning research in stem cell research for healthcare professionals.
OBJECTIVES: To evaluate the effectiveness of robot-assisted therapy (RAT) followed by activities of ...
Intratumor heterogeneity (ITH) is defined as differences in molecular and phenotypic profiles betwee...
Alzheimer's disease (AD) is a neurodegenerative condition that primarily affects brain tissue. Becau...
Timely and accurate referral of end-stage heart failure patients for advanced therapies, including h...
BACKGROUND: The inflamed immune phenotype (IIP), defined by enrichment of tumor-infiltrating lymphoc...
Personalized medicine can reduce adverse effects, enhance drug efficacy, and optimize treatment outc...
The relationship between ethics and artificial intelligence in medicine is a crucial and complex top...
The combination of physical equations with deep learning is becoming a promising methodology for bio...
The use of artificial intelligence (AI) in medicine, potentially leading to substantial advancements...
OBJECTIVES: Anti-HER2 targeted therapy significantly reduces risk of relapse in HER2 + breast cancer...
The governance of artificial intelligence (AI) is an urgent challenge that requires actions from thr...
Artificial intelligence revolutionizes nursing informatics and healthcare by enhancing patient outco...
Cell instance segmentation (CIS) via light microscopy and artificial intelligence (AI) is essential ...
Those who participate in and contribute to academic publishing are affected by its evolution. Fundin...
BACKGROUND: Dopamine agonists (DA) are first line treatment for prolactinomas. Optic chiasm herniati...
Artificial intelligence (AI) is increasingly being used in the medical field, specifically for brain...
BACKGROUND: Although some studies suggest that robot-assisted technology can significantly improve u...
Physiotherapy is a critical area of healthcare that involves the assessment and treatment of physica...
Gold nanoparticles (AuNPs) are commonly used in cancer research due to their unique physical and opt...
OBJECTIVE: To develop logistic regression nomogram and machine learning (ML)-based models to predict...
BACKGROUND: It is not unusual to see some parts of tissues are excluded in the field of view of CT s...