Dr. Jennifer Hadlock – an expert in machine learning, immune-mediated inflammatory disease, and maternal/fetal health – has been promoted to associate professor. The Hadlock Lab is an interdisciplinary team that aims to accelerate translational research by integrating clinical data into systems biology at scale.
ISB researchers have constructed biological body mass index (BMI) measures that offer a more accurate representation of metabolic health and are more varied, informative and actionable than the traditional, long-used BMI equation. The work was published in the journal Nature Medicine.
A just-published study provides new information about which hospitalized COVID-19 patients are most likely to need mechanical ventilation or to die. The ISB-led work shows that vital signs and lab results at the time of hospital admission are the most accurate predictors of disease severity, more so than comorbidities and demographics.
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.
An ISB-led study examined the electronic health records of more than 18,000 people with SARS-CoV-2 tests during pregnancy, and found that those who contracted COVID-19 while pregnant were more likely to have poor birth outcomes including preterm birth, small for gestational age, low birth weight, and stillbirth.
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.
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