Results 11 to 20 of about 24,092,998 (355)
Almanac: Retrieval-Augmented Language Models for Clinical Medicine [PDF]
Large-language models have recently demonstrated impressive zero-shot capabilities in a variety of natural language tasks such as summarization, dialogue generation, and question-answering.
W. Hiesinger +13 more
semanticscholar +1 more source
Large language models propagate race-based medicine
Large language models (LLMs) are being integrated into healthcare systems; but these models may recapitulate harmful, race-based medicine. The objective of this study is to assess whether four commercially available large language models (LLMs) propagate
J. Omiye +4 more
semanticscholar +1 more source
Advances in the Management of Diabetes Mellitus: A Focus on Personalized Medicine
Diabetes mellitus poses a substantial global health challenge, necessitating innovative approaches to improve patient outcomes. Conventional one-size-fits-all treatment strategies have shown limitations in addressing the diverse nature of the disease. In
Fnu Sugandh +11 more
semanticscholar +1 more source
Supplemental digital content is available in the text. ABSTRACT This consensus statement is an update of the 2010 American College of Sports Medicine position stand on exercise and type 2 diabetes.
J. Kanaley +7 more
semanticscholar +1 more source
An Evidence‐Based Framework for Evaluating Pharmacogenomics Knowledge for Personalized Medicine
Clinical annotations are one of the most popular resources available on the Pharmacogenomics Knowledgebase (PharmGKB). Each clinical annotation summarizes the association between variant‐drug pairs, shows relevant findings from the curated literature ...
Michelle Whirl‐Carrillo +6 more
semanticscholar +1 more source
Pharmacogenomics: Driving Personalized Medicine
Personalized medicine tailors therapies, disease prevention, and health maintenance to the individual, with pharmacogenomics serving as a key tool to improve outcomes and prevent adverse effects.
W. Sadee +3 more
semanticscholar +1 more source
Several studies underscore the potential of deep learning in identifying complex patterns, leading to diagnostic and prognostic biomarkers. Identifying sufficiently large and diverse datasets, required for training, is a significant challenge in medicine
Micah J. Sheller +10 more
semanticscholar +1 more source
Artificial Intelligence in Cancer Research and Precision Medicine.
Artificial intelligence (AI) is rapidly reshaping cancer research and personalized clinical care. Availability of high-dimensionality datasets coupled with advances in high-performance computing, as well as innovative deep learning architectures, has led
B. Bhinder +3 more
semanticscholar +1 more source
3D Printing as a Promising Tool in Personalized Medicine
Personalized medicine has the potential to revolutionize the healthcare sector, its goal being to tailor medication to a particular individual by taking into consideration the physiology, drug response, and genetic profile of that individual.
V. Vaz, L. Kumar
semanticscholar +1 more source
Awake self-proning is being used widely as respiratory support in COVID-19 hypoxemia, in resource limited settings. We aimed to investigate the effectiveness of early awake self-proning in preventing mortality and need for intubation in adults with ...
Maya Gopalakrishnan +9 more
doaj +1 more source

