A new predictive framework reprograms T cells to sustain immune memory while preserving their ability to fight cancer and infections.

Abstract: Genetic programming (GP) has achieved promising results without relying on the extraction of prior knowledge, e.g., fixed network architecture. However, most existing GP methods guide the ...

Abstract: Aiming at the disadvantages of long training time and high model complexity caused by individual bloat in genetic programming, an improved genetic programming algorithm based on bloat ...

Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054, China Department of Computer Science, Abdul Wali Khan University Mardan, ...

A current remarkable technique is based on artificial intelligence algorithms (Hamet and Tremblay, 2017). The increasing abundance of clinical, genetic, radiological and metabolic data in ...

ABSTRACT: The equity market is known for its uncertainty and randomness. While the market and the participating traders may seem like independent entities in their own right, but it is the foray of ...

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 ...

Collaborative research defines a novel approach to understanding how certain proteins called transcription factors determine which genetic programs will drive cell growth and maturation. The method, ...

A breakthrough algorithm helps scientists track human DNA changes across regions. Credit: vediphile / CC BY-SA 4.0 Researchers have developed an algorithm that maps shared ancestry across geography ...

A collaborative study published in Forest Ecosystems, led by researchers from Beijing Forestry University and the University of British Columbia (Canada), presents groundbreaking methods to ...