Results 141 to 150 of about 28,464 (292)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
The physician's role in cultivating healthful lifestyles. [PDF]
Freedhoff Y.
europepmc +1 more source
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu +16 more
wiley +1 more source
Effective non verbal communication affects patient's satisfaction as well as optimal level of patient's healthiness. This is primarily due to asymmetry information between doctor and patient since in most cases patients heavily rely on non verbal ...
A Pasinringi, Syahrir +2 more
core
The study elucidates that paternal preconception stress can drive offspring hyperresponsivity of the stress system via hypomethylation of a specific DNA region in sperm. This key link is confirmed in a cohort of prospective fathers: the epigenetic alteration is associated with elevated stress hormone levels.
Mengxi Lu +10 more
wiley +1 more source
Letter to the Editor: The General Internal Medicine Physician's Role in Addressing the Maternal Health Crisis in the United States. [PDF]
Katz S, McDougale A.
europepmc +1 more source
The physician's role in perioperative management of older patients undergoing surgery. [PDF]
Gordon AL, Evans BJ, Dhesi J.
europepmc +1 more source
Prevention and Medical Management of Unwanted Pregnancy: The Physician's Role
Kothari, Shakuntala
core +1 more source
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu +8 more
wiley +1 more source

