Results 41 to 50 of about 1,712 (194)
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Explainable artificial intelligence (XAI) guides selective electrode activation in retinal prostheses by emphasizing visually informative regions. XAI‐assisted phosphene generation maintains object recognition performance while significantly reducing stimulation power.
Sein Kim, Hamin Shim, Maesoon Im
wiley +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
ABSTRACT Culturally responsive early childhood education (ECE) environments can increase child and family participation, enhance service quality, and improve developmental outcomes for children. Educators from culturally and linguistically diverse (CALD) backgrounds contribute to inclusive ECE and are crucial for addressing workforce shortages.
Sene Gide +4 more
wiley +1 more source
Genetic Modifiers of ABCA1 Activity Interact with APOE Isoforms to Mediate Alzheimer's Disease Risk
Objective ATP‐binding cassette transporter A1 (ABCA1) has been associated with Alzheimer's disease (AD), but the mechanisms by which it impacts disease risk are unknown. ABCA1 is known to bind apolipoprotein E (ApoE) and catalyze apolipoprotein lipidation.
Andrés Peña‐Tauber +24 more
wiley +1 more source
ABSTRACT Mayonnaise, a widely consumed oil‐in‐water emulsion, is highly susceptible to lipid oxidation due to its high content of polyunsaturated fatty acids (PUFAs) and the presence of pro‐oxidant factors such as low pH and iron from egg yolk. Over the past three decades, extensive research has focused on understanding oxidation mechanisms, analytical
Sakhi Ghelichi +2 more
wiley +1 more source
ABSTRACT Characteristics of high alkali in Zhundong coal ash may cause ash‐related slag discharge problems at entrained‐flow‐bed (EFB) gasifier. In this study, through exploring melting characteristics and viscosity–temperature characteristics, it is found that MN05, MN14, and MN23 show low FTs (< 1160°C).
Meng Li +3 more
wiley +1 more source
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han +3 more
wiley +1 more source
Abstract Aim The aim of this study was to assess the general and product‐specific experiences of MAHs use of RWD/RWE in medicines development and in their regulatory submissions, and to explore organizational aspects of MAHs related to RWD/RWE. Methods An electronic survey was conducted, and information collected directly from MAHs.
Sini M. Eskola +5 more
wiley +1 more source
ABSTRACT This article contributes to sustainability research by investigating the complex, geopolitically induced challenges faced by industrial supply chains under international sanctions. Using Iran's steel industry as a case, it examines sustainability barriers through the lens of stakeholder theory. A mixed methods approach was employed.
Seyed Hamed Moosavirad +2 more
wiley +1 more source

