Discover in this article the work of Recursion Pharmaceuticals, a company in Salt Lake City which automates drug testing in cells. Like us, they believe that algorithms can be used to extract amazing amount of data from HCS pictures, which are injected in IA software to discover hidden correlations and causalities. They have this approach with rare genetic diseases, to find potential treatments from well known drugs. They use image-processing software from the lab of Anne Carpenter at the Broad Institute of Harvard.

“The beauty is that they don’t have to dig into the full detail of what a [disease] cell’s appearance means; they just have to find something to reverse it,” says Carpenter, who is an advisor to the company. Digging into the underlying biology only at a later stage means that work can be more focused and efficient, she says.

Source: Machine Vision Helps Spot New Drug Treatments


Grégory MAUBON

Grégory MAUBON is Chief Data Officer and digital coordinator at HCS Pharma, a biotech startup focused in high content screening and complex diseases. He manages IT missions and leads digital usages linked to company needs. He is also a Augmented Reality Evangelist (presenter and lecturer) since 2008, where he created www.augmented-reality.fr and founded in 2010 RA'pro (the augmented reality promotion association). He helped many companies (in several domains) to define precisely their augmented reality needs and supported them in the implementation.

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