The Health Data Science lab, led by Dr. Andrew Magis, develops approaches to better understand and prevent these complex diseases by collecting, analyzing, and translating multi-omic data into actionable clinical insights for physicians and patients.
Researchers have identified several factors that can be measured at the initial point of COVID-19 diagnosis that anticipate if a patient is likely to develop long COVID. They also found that mild cases of COVID-19, not just severe cases, are associated with long COVID. Their findings were published by the journal Cell.
By taking detailed measurements of blood and other biological samples, ISB scientists have shown they can identify markers for cancer years before diagnosis. This was the topic of a recent Research Roundtable presentation delivered by Dr. Andrew Magis, Director of Data Science in ISB’s Health Data Science Lab.
ISB researchers and their collaborators looked at the electronic health records of nearly 630,000 patients who were tested for SARS-CoV-2, and found stark disparities in COVID-19 outcomes — odds of infection, hospitalization, and in-hospital mortality — between White and non-White minority racial and ethnic groups.
Director of Data Science
ISB