In the News

zebraMD is thrilled to announce that we have received a Phase II Small Business Innovation Research (SBIR) award from the National Science Foundation (NSF). This grant will accelerate the development of our AI-powered platform, bringing together a 360° view of the patient to help enable faster diagnosis, more informed treatment, and better care for patients with rare and complex diseases.

Artificial intelligence tools are increasingly bridging the gap in rare disease research by working with limited datasets to improve detection and diagnosis. The article highlights several AI solutions—including ThinkRare, DxGPT, ZebraMD, and STARVar—that help clinicians identify rare genetic conditions earlier, potentially reducing diagnostic delays that typically span ten to fifteen years.

Doctors at the University of California, Los Angeles’ David Geffen School of Medicine and the UC Health Network have devised a predictive algorithm that uses artificial intelligence to scour electronic health records to identify patients who may be at risk of having the condition and should undergo testing.

In her first year at the David Geffen School of Medicine at UCLA, Katharina “Kat” Schmolly, MD, heard an old saying: “When you hear hoofbeats, think of horses, not zebras.”