Researchers have developed a diagnostic panel that identifies cognitive decline by analyzing how blood proteins fold. This ...

Abstract: Distributed hybrid flow shop scheduling is prevalent in industries such as integrated circuit manufacturing, ceramic frit production, glass fiber processing, and steelmaking. Machine ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

The ‘MYCN’ gene creates a specific nook that turns healthy liver cells into cancer. Detecting MYCN gene early could help identify and reduce liver cancer risk.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...

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 linger. They actively shape how people survive in extreme environments. The ...

Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...

Abstract: This research focuses on the solution of optimization problem, through the construction of INS-GA model, the genetic algorithm is used to optimize the data combination, and the elite ...