With the rapid advancement of robotics, intelligent sensing, and autonomous decision-making, robotic and AI systems are increasingly influencing human life ...
Researchers propose a roadmap for integrating AI translation into healthcare, discussing key workflow and quality concerns.
A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
Introduction Adolescence is a critical period marked by rapid brain development and the onset of many mental health disorders. Brain MRI studies during adolescence, especially when paired with ...
Abstract: This paper highlights significant advancements in the creation and enhancement of equivalent circuit models for solar cells. First, two novel configurations are proposed to enhance the ...
This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...
(CE) and methionine restriction (MetR) impacts health and leads to weight loss in mice. The authors provided valuable datasets showing that the responses to MR and CE are tissue-specific, while MR and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback