Genome editing has advanced at a rapid pace with promising results for treating genetic conditions—but there is always room for improvement. A new paper by investigators from Mass General Brigham ...

Genetic algorithms are optimisation heuristics based on the principles of natural selection. They offer a way to find good solutions to complex problems. In the context of machine learning, they can ...

Genome editing has advanced at a rapid pace with promising results for treating genetic ... combined with machine learning to boost progress in the field of gene and cell therapy. In their study, ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care.

The neural network adapts as different conditions are encountered, allowing the squid to make decisions and strengthen its algorithms. [ViciousSquid] is using a Hebbian learning algorithm which ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing ...