April 3, 2022, 1 p.m. | Editorial Team

insideBIGDATA insidebigdata.com

A study published in Nature Communications unveils a new platform for discovering cellular signatures of disease that integrates robotic systems for studying  patient cells with artificial intelligence methods for image analysis. Using their automated cell culture  platform, scientists at the NYSCF Research Institute collaborated with Google Research to  successfully 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.

ai ai and robotics ai deep learning analysis big data disease google news feed healthcare health & medicine main feature news robotics weekly newsletter articles

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior Business Intelligence Developer / Analyst

@ Transamerica | Work From Home, USA

Data Analyst (All Levels)

@ Noblis | Bethesda, MD, United States