Latest AI and machine learning research in stem cell research for healthcare professionals.
BACKGROUND: Antibiotics, as the most commonly prescribed class of drugs in neonatal intensive care u...
Objective Endometrial lesions are a frequent complication following breast cancer, and current diagn...
Although the integration of artificial intelligence (AI) into medicine and healthcare holds transfor...
BACKGROUND: The integration of artificial intelligence into medicine has attracted increasing attent...
PURPOSE: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various c...
Infection is the most prevalent complication of fractures, particularly in open fractures, and often...
A 78-year-old female patient was initially treated with laparoscopic radical cholecystectomy for gal...
BACKGROUND AND OBJECTIVE: Helmet-Continuous Positive Airway Pressure (H-CPAP) is a non-invasive resp...
In recent years, immune checkpoint inhibitors (ICIs) has emerged as a fundamental component of the s...
Gastric cancer (GC) is characterized by notable heterogeneity and the impact of molecular subtypes o...
Photodynamic therapy(PDT)is a minimally invasive technique increasingly used in dentistry for its a...
PURPOSE: Obstructive sleep apnoea (OSA) is a common disease that benefits from early treatment and p...
Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...
This study aimed to construct machine learning models and predict prolonged intensive care units (IC...
BACKGROUND: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT...
BACKGROUND: Interactive artificial intelligence tools such as ChatGPT have gained popularity, yet li...
Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense prom...
To develop a deep reinforcement learning (DRL) agent to self-interact with the treatment planning sy...
OBJECTIVES: Adipsin and leptin are adipokines that link adipose tissue dysfunction and increased fat...
The development of phosphorylation-suppressing inhibitors targeting Signal Transducer and Activator ...
PURPOSE: This study aims to accurately predict the effects of hormonal therapy on prostate cancer (P...