Pancreatic cancer rarely announces itself early. It often grows in deep tissue, causes vague symptoms, and reaches medical ...

Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...

Researchers in France and Japan have transmitted what they describe as the first DNA-encrypted message between laboratories, ...

The future of AI is here. Discover the world’s first self-evolving, open-weight AI model that can independently upgrade ...

Johns Hopkins and other BRAIN Initiative Cell Atlas Network (BICAN) researchers have enhanced a cellular road map of how the ...

Abstract: In this paper, we present a new bus coding scheme based on genetic algorithm to eliminate crosstalk delay and to reduce power dissipation. This algorithm can be applied usefully for large ...

Forward-looking: A working DNA-based hard disk drive still seems like a fairly futuristic concept, but that might not be the case for much longer. A research team at the University of Missouri has ...

Uncovering complex disease patterns from large-scale, heterogeneous health data remains a significant challenge. Traditional statistical methods and conventional machine learning algorithms often ...

EMBL researchers created SDR-seq, a next-generation tool that decodes both DNA and RNA from the same cell. It finally opens access to non-coding regions, where most disease-associated genetic variants ...

Population geneticists increasingly confront a paradox: even with genome-scale datasets and advanced machine learning models, subtle population structure often remains undetected, particularly in ...

A new study found that a gene passed down from extinct archaic humans provided an adaptive advantage for Indigenous people of the Americas and is still common today in people of Indigenous descent.