To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.
Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...
A study suggests psychiatric disorders can share the same genetic signatures and that they may stem from shared biological mechanisms. When you purchase through links on our site, we may earn an ...
Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...
On a scorching July afternoon in Shanghai, dozens of Chinese students hunch over tablet screens, engrossed in English, math and physics lessons. Algorithms track every keystroke, and the seconds spent ...
Shandong Institute of Petroleum and Chemical Technology, Dongying 257061, China Shandong Key Laboratory of green electrohydrogen science and technology, Dongying 257061, China ...
ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...
The field of genetics is undergoing a quiet revolution, and it’s happening in the laboratories where scientists are learning to resurrect the genetic blueprints of extinct species. What began as an ...
Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...
Abstract: As educational technologies mature at a growing rate, effective models of instructional delivery systems that can deliver learning experiences based on the individual learner’s learning ...
Abstract: To address the Vehicle Routing Problem with Time Windows (VRPTW), this paper presents a novel Dual Adaptive Genetic Algorithm (DAGA). While numerous metaheuristic algorithms have been ...