Results 171 to 180 of about 45,615 (247)

Clinician-Patient Asynchronous Text Messaging Communication in Hospital-at-Home Care: Qualitative Study. [PDF]

J Med Internet Res
Seow JSL, Ko S, Low SY, Shorey S.
europepmc   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

ISMB 2026 Proceedings. [PDF]

Bioinformatics
Ma J, Borgwardt K.
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Adult cancer survivors' perceptions of immersive virtual reality exercise and its utility during chemotherapy infusion: a concurrent mixed method exploratory study. [PDF]

Support Care Cancer
Ferrar K, Lange B, Beltrame T, Buckley ES, Chew KH, Foo JJ, Hollis MK, Kemp E, Koczwara B, Lim P, Mizrahi D, May N, Thomson J, Schumacher J, Hobbs D.   +14 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Implementing endoscopy video recording in routine clinical practice: Strategies from three tertiary care centers

Endoscopy International Open
Jonas L. Steinhäuser, Tyler M. Berzin, Mark E. Geissler, Cornelius Weber, Nora Herzog, Maxime Le Floch, Stefan Brückner, Jochen Hampe, Sami Elamin, Joel Troya, Alexander Hann, Franz Brinkmann   +11 more
doaj   +1 more source

Issues and principles for legitimate and meaningful One Health monitoring. [PDF]

Int J Public Health
Colinas J, Boiteux M, Aenishaenslin C.
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Splenic injury associated with colonoscopy in hospitalized patients: Incidence, risk factors, management, and outcome

Endoscopy International Open
Herbert Koop, Christoph Skupnik, Torsten Schnoor, Dirk Horenkamp-Sonntag   +3 more
doaj   +1 more source