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AI, Deep Learning, and Life Sciences: Poised for Take Off
Andrew Ng, founder of Google Brain, former chief scientist at Baidu, and current adjunct professor at Stanford, said that “in the tech world, progress tends to happen slowly and then very quickly. I think we’re still in the progress-is-happening-slowly process in healthcare.”
But some signs suggest that AI is poised to soon significantly advance the state of the art in Life Sciences and Health Care.
For example, Researchers at Harvard recently applied Deep Learning to analyzing the human genome in single-cell experiments. Depp Learning helped speed the analysis process from days to minutes. The hope is that the new process will make it easier to identify mutations and biomarkers in a genome that might be indicators of disease. It also speeds up the process of drug discovery and diagnostics.
Tom Chittenden, Chief Technology Officer of Genuity Science said that “as technology improves and new algorithms are introduced, we see the potential that unconventional classification algorithms can offer in terms of unique insights and the discovery of novel approaches for solving complex biological challenges.”
Daphne Koller, CEO at insitro, said that “Machine learning is going to really drastically change timelines on at least some parts of the [drug discovery] process.” An analyst report on the AI-based genomics market estimates that the area is growing at more than 57 percent annually.
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