Results 171 to 180 of about 13,216 (224)
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Antiretroviral Therapy Changes for Medicare Beneficiaries With HIV Transitioning to Long-Term Care.
Olivieri-Mui B +6 more
europepmc +1 more source
Acceptance and preference for long-acting antiretrovirals among people living with HIV in China. [PDF]
Ding H +7 more
europepmc +1 more source
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 +4 more
wiley +1 more source
Female Sex is Protective Against MASLD With Clinically Significant Fibrosis in a Large Cross-sectional Cohort of Persons With HIV. [PDF]
Wegermann K +14 more
europepmc +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
The Real and Imagined Black-Built Environment of the Ashcan School
Jessica Larson
doaj +1 more source
Trustworthy AI for medical decisions: Adversarially robust and fair machine learning prediction for Parkinson's disease. [PDF]
Muhammad J +4 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source

