Deep learning is a subset of ML employing artificial neural networks with multiple layers to iteratively learn features from raw input data. Deep learning can be defined as a subset of machine ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Remember how that Google neural net learned to tell the difference between dogs and cats? It's helping catch skin cancer now, thanks to some scientists at Stanford who trained it up and then loosed it ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

In a recent study published in the journal Nature Biomedical Engineering, a group of researchers demonstrated the use of deep learning to resurrect antibiotic peptides from extinct organisms, ...

The deep learning market in drug discovery and diagnostics offers promising opportunities, driven by rising technology adoption, significant investments, and innovative solutions in healthcare. Key ...