Latest AI and machine learning research in stem cell research for healthcare professionals.
BACKGROUND: Deep learning, a leading technology in artificial intelligence (AI), has shown remarkabl...
Micro/Nanorobots(MNRs)integrated with phototherapy represent an emerging approach to cancer treatmen...
OBJECTIVES: To extract intratumoral, peritumoral, and integrated intratumoral-peritumoral CT radiomi...
AIMS: This study aimed to evaluate the accuracy and completeness of GPT-4, a large language model, i...
Artificial intelligence (AI) holds immense promise in revolutionising dentistry, spanning, diagnosti...
This special issue presents a collection of reviews on the recent advancements and applications of a...
BACKGROUND: Although highly active antiretroviral therapy (HAART) has greatly enhanced the prognosis...
Obsessive-compulsive disorder (OCD) is a chronic, severe condition. Although exposure and response p...
The biliary system is crucial for liver function, regulating bile production, secretion, and transpo...
BACKGROUND: Cognitive behavioral therapy (CBT) is a highly effective treatment for depression and an...
To assess the performance of a probabilistic deep learning based algorithm for predicting inter-frac...
PURPOSE: Cone beam computed tomography (CBCT)-based online adaptive radiation therapy is carried out...
BACKGROUND: Artificial intelligence (AI) has the potential to revolutionize healthcare by improving ...
BACKGROUND: Early identification of patients with acute hypoxemic respiratory failure (AHRF) who are...
BACKGROUND: This prospective cohort study was designed to investigate and compare the effectiveness ...
A thorough understanding of cell-line drug response mechanisms is crucial for drug development, repu...
The tumor-homing peptides (THPs) have emerged as one of the attractive resources for targeted cancer...
Small interfering RNA (siRNA) targeting the NOD-like receptor family pyrin domain-containing 3 (NLRP...
While long-term opioid therapy is a widely utilized strategy for managing chronic pain, many patien...
We demonstrate the feasibility of machine-learning aided UV absorbance spectroscopy for in-process m...
BACKGROUND: Antimicrobial resistances pose significant challenges in health care systems. Clinical d...