November 5, 2019
"Strong focused on the use of AI in individualized disease prevention and treatment. She described how IndiOmics used machine learning to establish correlations between factors such as exposure to environmental toxins, waist circumference, marital status, income level and cancer diagnoses."
September 26, 2019
IndiOmics Global Launch at SAS Global Forum 2019
April 28 - May 1 | Dallas, TX
Watch the presentation from the
SAS Global Forum 2019 Opening Ceremony:
Dr. Melissa Strong, PhD speaks at the opening ceremony joined by Manager of Americas - AI, Diana Shaw and Oliver Shabenberger, COO and CTO of SAS.
IndiOmics was featured at the opening ceremony of the SAS Institute's annual Global Forum. Our founder Dr. Melissa Strong joined SAS’ Diana Shaw to demonstrate how analytics helps IndiOmics understand how the human body responds to common chemical exposures in an effort to help people safeguard themselves with simple lifestyle changes.
Dr. Strong presented the findings of the first volunteer, SAS COO & CTO Oliver Schabenberger, who was a good sport in volunteering to participate in the analysis and share his results to a live audience of over 5000. Fortunately, the test revealed he had a below-detection level of BPA (Bisphenol-A) in his system – a testament to his limited use of plastic drinking containers and cookware.
In addition to these findings, Dr. Strong shared her personal story and her mission: to provide people with more information about personal health and strategies to avoid exposure to chemicals, and to educate others about how to best decrease risks for chronic health conditions. With this information we can be empowered to protect ourselves and our families from harmful exposures.
“Our big idea is to use data to provide clarity about our personal exposures. So we’re going to actually dive into the body. We want to know on a cellular level. What has gotten into my system? What are my cells interacting with as far as synthetic chemicals?
“That’s really where my passion lies, how do we apply data science to bring the healthiest children we can to the world, and get them through childhood as strong and as resilient as possible.”