Results 211 to 220 of about 72,925 (303)
Abstract AI‐based large language models (LLMs) have gradually made their way into various fields, transforming industries and changing the way we solve problems. LLMs have great potential in healthcare, where they can share the burden of data management, retrieval, and decision‐making.
Muhammad Umar +11 more
wiley +1 more source
ABSTRACT Background and Aim Chronic hepatitis B (CHB) affects over 250 million people globally and is a major contributor to liver complications, including cirrhosis and hepatocellular carcinoma (HCC). Though antiviral therapies suppress HBV, the rising prevalence of metabolic‐associated steatotic liver disease (MASLD) poses new challenges.
Sheng‐Jie Shiue +12 more
wiley +1 more source
The U.S. health system vulnerabilities. [PDF]
Brantly ND.
europepmc +1 more source
Abstract Objectives Pediatric patients with chronic gastrointestinal (GI) conditions including inflammatory bowel diseases (IBD) and irritable bowel syndrome (IBS) on average endorse lower health related quality of life (HRQOL) than their healthy counterparts.
S. Taylor Younginer +6 more
wiley +1 more source
BBAS: A blockchain-based authentication system for e-health with multi-factor authentication, access control, and post-quantum security. [PDF]
Latif R +4 more
europepmc +1 more source
Early Cancer Detection: What's Going on and What's Next
Multicancer early detection (MCED) platforms have emerged as a promising strategy for the safe and effective early detection of multiple cancer types, with the potential to reduce metastatic burden and improve clinical outcomes, particularly for aggressive malignancies that lack effective population‐level screening.
Emma Di Carlo
wiley +1 more source
Novel Electronic Health Record-Based Data Commons for Pancreatic Cancer. [PDF]
Ahmed KS +13 more
europepmc +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Descriptive Characteristics of Undergraduate Research Associate Programs in the United States: Findings from a National Registry. [PDF]
Keyes DC +8 more
europepmc +1 more source
Free Flap Reconstruction of Xylazine‐Associated Wounds: A Retrospective Review
ABSTRACT Background Xylazine is a veterinary sedative that is added to illicit fentanyl to enhance its effects. Xylazine‐associated wounds differ from those found in patients who inject other drugs. They are larger and frequently involve deeper structures, such as bone.
Alan T. Makhoul +9 more
wiley +1 more source

