Results 251 to 260 of about 33,125 (301)
Explainable artificial intelligence-enabled intertwined logistics analytics with application in poultry vaccine distribution in the Northwest of Iran. [PDF]
Mehravaran M, Nemati A.
europepmc +1 more source
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska +14 more
wiley +1 more source
Predicting heart transplant outcomes using explainable artificial intelligence: a multicenter study. [PDF]
Zhou X +5 more
europepmc +1 more source
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley +1 more source
Explainable artificial-intelligence-based hyperspectral image analysis for leaf disease detection in intercropping system. [PDF]
Malik V +5 more
europepmc +1 more source
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang +7 more
wiley +1 more source
Explainable Artificial Intelligence for Rehospitalization and Financial Burden of Fertile Women in Orthopedic Care. [PDF]
Lee KS, Kim J, Han SB.
europepmc +1 more source
A comprehensive review of explainable artificial intelligence in healthcare methods, evaluation, and clinical integration. [PDF]
Zhang K, Wang D, Lin F, Xie J, Zhou W.
europepmc +1 more source
Prediction of drug approvals in oncology using explainable artificial intelligence. [PDF]
Watanabe T, Nemoto S, Kato H, Isomura T.
europepmc +1 more source

