NEWS
SCA Robotics Accepted to Plug and Play Cohort
SUNNYVALE, CA, Sept.26, 2019 -- Plug and Play today announced the 130 startups selected to participate in their Winter 2019 batches.
SCA Robotics Joins NVIDIA Inception Program
Emeryville, CA, May 2019—SCA Robotics (SCA) today announced it has joined the NVIDIA Inception program, which is designed to nurture startups revolutionizing industries with advancements in AI and data sciences.
SCA Robotics is a core technology company building AI medical solutions related to the diagnostics of cancer and other chronic diseases. As a strategic partner to the world-renowned City of Hope Comprehensive Cancer Center in Los Angeles, SCA pioneered the first AI solution related to metastatic and nonmetastatic tumor identification within the brain. SCA has experience working on various AI projects related to diabetes, interventional heart disease,T-cell intervention, and eye disease.
The NVIDIA Inception program provides SCA Robotics with a platform and infrastructure to build cutting-edge computer vision applications as they relate to medicine and other industries. The program assists emerging AI companies, such as SCA Robotics, with the latest AI tools, technology, and deep learning expertise, which are critically needed resources.
SCA Robotics CEO Rob Rao commented, “Thanks to NVIDIA’s tools and resources, the unification of SCA’s AI algorithms with cutting-edge GPU hardware will usher in a paradigm shift in medicine that will revolutionize the way medical care is provided.”
NVIDIA’s Inception program is a virtual accelerator program that helps startups during critical stages of product development, prototyping, and deployment. Every Inception member gets a custom set of ongoing benefits, from hardware grants and marketing support to training with deep learning experts.
News
SCA Robotics selected at the American Diabetes Association's 23rd Leaders Forum Healthtech event.
SAN FRANCISCO, CA – NOV 2, 2018 - SCA Robotics, an early stage, commercial Precision Analytics company, developing artificial intelligence (AI) diagnostic solutions proven to improve the identification, prediction, and treatment of patients with cancer, diabetes, and heart disease, made its debut at the annual ADA Leaders Forum Healthtech Showcase.
SCA Robotics founder and CEO Rob Rao remarked, “It is sincerely an honor for us to take part in this year's prestigious event, which has been a long-standing tradition for both the ADA and the Silicon Valley community."
Each year the American Diabetes Association® (ADA) invites life science leaders, business professionals, angel investors, and venture capitalists to come together. The Leaders Forum HealthTech Showcase connects investors and industry experts to healthcare startup companies while benefitting the ADA's mission to prevent and cure diabetes and to improve the lives of all people affected by diabetes.
Mr. Rao continued and said, "Thanks to the ADA, this was a perfect occasion for SCA to prove to the health and investment community exactly how we make artificial intelligence and machine learning work for health care. In addition to eliminating the most difficult challenges in diabetic medicine, we have proven our ability to determine cancer types, make predictions for brain tumors, and valve replacements needed in the heart.”
Along with a select group of 30 health and technology companies, SCA was invited to demonstrate its proven artificial intelligence solutions utilizing machine learning to predict hypoglycemia and hyperglycemia in patients.
SCA develops diagnostic and clinical analysis solutions designed to investigate and predict patient outcomes based on clinical and computer imaging data ( X-rays, CT scans, nuclear medicine scans, MRI scans, Ultrasound) with amazing success.
Rob commented further, “The SCA Robotics team is extremely proud of what it has accomplished. Looking forward we are expanding our AI expertise beyond early detection and management of diabetes, and cancer, but also to determine the probability of a valve replacement event in the heart, also known as TAVI prediction.