For years, the dominant narrative held that modern humans arose from a single, unbroken lineage in Africa. But then came ...

Finally, this package shows how the modern tools of molecular biology and precision ... of environmental monitoring via AI/ML algorithms. Show transcript Diagram summarising a plan for multi ...

Researchers at the Paul Scherrer Institute PSI have developed an AI that could open up a new, cost-effective approach to ...

"The use of new computational biology tools focused on predicting protein structure represents a paradigm shift in genetic research, offering the potential to transform genomics research and its ...

This idea forms from the emerging evidence that biology and quantum mechanics may ... it might show that biological computation is much more powerful that even the greatest quantum computers.

By combining information from many large datasets, MIT researchers have identified several new potential targets for treating ...

This fundamental study combines in vitro reconstitution experiments and molecular dynamics simulations to elucidate how membrane lipids are transported from the outer to the inner membrane of ...

Assessment of parameters associated with ovarian function recovery in premenopausal women with early breast cancer and chemotherapy-induced amenorrhea in real-world clinical practice, European ...

Birmingham scientists have identified an essential genetic code for a method called plasmid curing, which aims to "displace" antibiotic-resistance genes from bacteria. Plasmids, which are small ...

It consists of the subsequent application of a genetic algorithm (GA) that employs coarse models in ... The technique is particularly suited to optimization problems for which long computational times ...

Based on the torque ripple model, a genetic algorithm (GA)-based harmonic current optimization approach is proposed for torque ripple minimization. In this approach, GA is applied to optimize both the ...