Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...

Google unveiled an artificial intelligence tool Wednesday that its scientists said would help unravel the mysteries of the human genome -- and could one day lead to new treatments for diseases. The ...

MIAMI, Jan. 15, 2026 /PRNewswire/ -- SelfDecode, a leader in AI-driven precision health and genetic analysis, supports the DNA Traits experience offered by MyHeritage, one of the world's largest ...

Basecamp Research, a frontier AI lab harnessing evolution to design new medicines, today announced the first AI models capable of programmable gene insertion, offering a new way to replace faulty ...

1 China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China 2 Biosensor National Special Laboratory Department of Biomedical Engineering, Zhejiang University, Hangzhou, China Introduction: Individual ...

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...

1 Guangdong Provincial Key Laboratory of Animal Molecular Design and Precise Breeding, School of Animal Science and Technology, Foshan University, Foshan, Guangdong, China 2 Center of Animal Epidemic ...

MPN-BP transformation is driven by sequential mutations disrupting genomic stability, with TP53 mutations being strong predictors of progression. TP53 mutations confer a selective growth advantage, ...

The number of people living with dementia worldwide was estimated at 57 million in 2021 with nearly 10 million new cases recorded each year. In the U.S., dementia impacts more than 6 million lives, ...

Abstract: Tetris is a challenging puzzle game requiring real-time decision-making and game strategy optimization. This research explores genetic algorithms (GA) to develop an optimal strategy for ...

ABSTRACT: Manual timetable preparation in colleges and universities is often time-consuming, error-prone, and inefficient, especially with increasing student and course complexity. This paper proposes ...