NYSCF and Google Research integrate capabilities for disease profiling

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A robotic system for studying patient cells has been integrated with AI image analysis to create a new platform for discovering cellular signatures of disease including Parkinson’s. 

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Using their automated cell culture platform, scientists at the NYSCF (New York Stem Cell Foundation) Research Institute collaborated with Google Research to identify new cellular hallmarks of Parkinson’s disease by creating and profiling over a million images of skin cells from a cohort of 91 patients and healthy controls. Their findings are detailed in Nature Communications.

“Traditional drug discovery isn’t working very well, particularly for complex diseases like Parkinson’s,” NYSCF CEO Susan L. Solomon, JD said in a statement. “The robotic technology NYSCF has built allows us to generate vast amounts of data from large populations of patients and discover new signatures of disease as an entirely new basis for discovering drugs that actually work.”

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The study utilised NYSCF’s repository of patient cells and robotic system – The NYSCF Global Stem Cell Array – to profile images of millions of cells from 91 Parkinson’s patients and healthy controls.

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