On the final episode of 2025, host Erin Welsh is joined by Courtney Allison, host of NewYork-Presbyterian’s health and wellness podcast, Health Matters, to recap the year’s highlights from their dozens of conversations with clinicians, researchers, and health care specialists from Columbia & Weill Cornell Medicine. They highlight key takeaways, revisit groundbreaking treatments that were pioneered across the institution, and discuss several research updates that are shaping the future of medicine for both physicians and patients.

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For any patient diagnosed with depression for the first time, the recommended course of treatment is the same: a medication like a selective serotonin reuptake inhibitor (SSRI), an evidence based psychotherapy, or both. But there is a large group of people for whom these treatments simply won't work. That’s where Dr. Conor Liston and his team focus. In this episode from the Advances in Care archives, Dr. Liston speaks with former host Catherine Price about his work mapping the brain is helping doctors better understand where depression is impacting certain brain structures and what that means for the symptoms patients present. Dr. Liston’s work is focused on identifying how these symptoms impact patients' brains and using those findings to identify the best treatment approach.

Since this episode aired, Dr. Liston and his colleagues have continued to build on their research regarding a specific region of the brain called the “salience network.” They found that the salience network was considerably larger in people with clinical depression than in those without, and that people with larger salience networks in childhood were more likely to develop depression later in life. Their research points to an enlarged salience network as the first objective biomarker for diagnosing depression, which could revolutionize how depression is treated, and allow for intervention even before symptoms develop.

In this episode from the Advances in Care archives, Dr. Pierre Elias sits down with Catherine Price to talk about how utilizing technologies like artificial intelligence and machine learning can help diagnose patients even before symptoms develop, and support doctors by freeing them up to focus on providing personalized care to their patients. They discuss navigating bias in both artificial intelligence and clinical care, and how new technology will improve the future of medicine.

Since this episode aired, Dr. Elias and his collaborators expanded their research involving AI and cardiac care, developing tools for detecting mitral regurgitation and heart failure.

Additionally, a team at NewYork-Presbyterian and Columbia used AI as a fertility treatment for azoospermia, and NewYork-Presbyterian deepened its commitment to developing applications of AI in medicine through a $2 billion campaign to invest in talent and technology.

For more information visit nyp.org/Advances