Health & Veritas

Howie and Harlan discuss what we know and don't know about the newly identified omicron variant. Then they're joined by Dr. Joseph Ross to discuss the strengths and weaknesses of the FDA's process for approving new drugs.

Howie and Harlan talk with Dr. Rohan Khera, a Yale cardiologist whose research interests include the use of advanced data science tools to improve diagnosis and treatment. They discuss how artificial intelligence and machine learning can supplement human expertise in summarizing current literature, interpreting electrocardiograms, and other areas.

Howie and Harlan are joined by Jason Abaluck, a health economist at the Yale School of Management. They discuss a massive study co-authored by Abaluck that showed that masks reduce COVID infections in a community setting.

Howie and Harlan are joined by Anne Wyllie, the Yale scientist who developed the SalivaDirect test for COVID-19. They discuss the development of the technology and its potential for enabling easier testing in a variety of communities.

Howie and Harlan are joined by Dr. Mary-Ann Etiebet, who leads Merck for Mothers and Merck's health equity efforts. They discuss the factors that lead to preventable death during pregnancy and childbirth—a risk that disproportionately affects women of color.

Howie and Harlan are joined by Elizabeth Bradley, an expert on global public health and the president of Vassar College. They discuss how the residential liberal arts college navigated the pandemic—and how defining a set of core values helped guide its response.

Howie and Harlan are joined by Yale cardiologist Erica Spatz to discuss the benefits of making treatment decisions in collaboration with patients, and the challenges of shifting to a more patient-centered approach.

Howie and Harlan discuss the financial, institutional, and psychological forces encouraging the use of unproven and disproven treatments and tests that drive up healthcare costs.

Howie, a Yale emergency department radiologist, and Harlan discuss whether artificial intelligence will replace human radiologists—or help them do their jobs better.

Howie and Harlan consider what medical schools can do differently to identify and train the doctors we'll need in the future