Stellar receives grant from NIH
An NIH award allows Stellar and the Institute of Human Virology to expand research into opioid use disorder and retention in HIV care.
Full announcement.
ROCKVILLE, MD, USA, September 15, 2020 /EINPresswire.com/ — Stellar IT Solutions, Inc. (Stellar), in partnership with the Institute of Human Virology (IHV), is working to determine the predictors of Opioid Use Disorder (OUD) and how OUD relates to retention of patient care, specifically in those with HIV. This award, provided by the National Institutes of Health (NIH), will allow Stellar and IHV to build upon and expand their investigative research.
Stellar, through its in-house technology incubator, Stellar iDea Labs, focuses on technology gaps in both the private and public sectors using proprietary artificial intelligence/machine learning (AI/ML) solutions. The management team previously built a similar predictive analytics model used to identify insider trading in major US securities markets, including NYSE, Nasdaq, and Amex.
“This collaboration, with the assistance of grant funding by OAR/NIH, will allow Stellar to build upon its research into Health IT predictive analytics,” said Dipak Thakker. Stellar’s algorithms are designed to identify indicators of patients who carry the risk of opioid addiction.
IHV’s research is focused on achieving a 75% and 90% reduction in HIV transmission over the next 5 and 10 years, respectively. IHV will work with Stellar to develop predictive algorithms that identify the contributors to a lack of retention of care in patients with HIV in urban clinic settings.
Dr. Shyamasundaran Kottilil, Professor of Medicine and Head of IHV’s Division of Clinical Care and Research, said, “The use of machine-learning algorithms in HIV clinics is a novel approach for addressing barriers to continuity of care.” Dr. Poonam Mathur, Assistant Professor of Medicine at IHV and Principal Investigator, said, “We expect that this intervention will result in development of a long-standing, self-sustaining logistical model that can be applied to all patients in our clinics.”
The project adds value to the science by integrating health information technology with healthcare delivery in a manner that enhances, rather than alters, the existing infrastructure.