People are suffering from mental health problems with roughly one in six adults, managing some symptoms associated with mental health at any given time. Depression is one such mental health challenge. But it isn't always easy to identify or to diagnose. However, there's one company that's developed an unusual way to tell if someone is depressed by listening to their voice, then using voice biomarkers to measure and predict wellbeing. In this episode, Dr. Graham Taylor speaks with Rima Seiilova-Olson and Prentice Tom, MD. They’re both joining us on behalf of Kintsugi, a natural voice biomarker AI program that detects signs of depression and anxiety from short clips of speech. Rima is the founder and chief scientist at Kintsugi. Rima is a former competitive programmer who has extensive experience in developing and productizing ML models. Prentice is the chief medical officer at Kintsugi and a pioneer in health care. Dr. Tom graduated from Harvard Medical School, completed residency at Johns Hopkins Hospital and was a Kaiser Fellow at MIT. Together we discuss the ideas behind the creation of Kintsugi and the needs Kintsugi is looking to address, we discuss the meaning of the name and its metaphoric significance, and Rima and Prentice walks us through Kintsugi’s AI voice programs and its various applications.