Researchers, including Rahul Singh (left), in the Daniell lab’s greenhouse where the production of clinical grade transgenic lettuce occurs.
(Image: Henry Daniell)
Electronic health records (EHR) data are often incomplete, creating a significant challenge for researchers, and data gaps may be unequally distributed across patient groups: People with less access to care, often people of color or with lower socioeconomic status, tend to have more incomplete EHRs. A new study from Penn LDI finds that predictive models trained using incomplete EHR data performed poorly for patients with lower access to care.
From Leonard Davis Institute
Researchers, including Rahul Singh (left), in the Daniell lab’s greenhouse where the production of clinical grade transgenic lettuce occurs.
(Image: Henry Daniell)
Image: Sciepro/Science Photo Library via Getty Images
In honor of Valentine's Day, and as a way of fostering community in her Shakespeare in Love course, Becky Friedman took her students to the University Club for lunch one class period. They talked about the movie "Shakespeare in Love," as part of a broader conversation on how Shakespeare's works are adapted.
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