Senthil Muthuswamy, PhD, director of the Cell Biology Program at the Cancer Center at BIDMC, discusses his use of organoid models to grow 3D cancer tumor cells and his current clinical trial "Harnessing Organoids for Personalized Treatment" (HOPE).

Transcript: https://bit.ly/3ckagz7

Developing Organoids from Tumors

Jeff Karp, PhD, Brigham and Women's hospital, discusses the concept of radical simplicity, which he describes as “breaking down the problem into simple terms that you can test.” Karp explains how he used this approach in stem cell therapy research to inform the translational and commercialization process.

Radical Innovation

"Sexual orientation and gender identity demographics are not routinely and uniformly collected in electronic health records," says Harry Reyes, MAS, a doctoral candidate at Columbia University. In the fourth episode of this series, Reyes and Li Zhou, MD, PhD, of Brigham and Women’s Hospital, discuss their research using machine learning and natural language processing to improve data collection of LGBTQ patients.

Community-Engaged: Machine Learning and Health Equity

In South Africa, about 40% of the population living with HIV are not in care," says Ingrid Katz, MD, Brigham and Women's Hospital. Katz discusses her research on HIV/AIDS treatment in South Africa, the importance of feedback from target populations, and the future of HIV research.

Read the transcript: http://bit.ly/2Rn6tr6

Accessible HIV Treatment in South Africa

"I think some of the most exciting areas have been where there are no guideposts,” says Martha Shenton of Brigham and Women's Hospital. In this podcast, Shenton reflects on her career in neuroimaging, discusses her research looking at schizophrenia, and gives advice to aspiring researchers.

Read the transcript: http://bit.ly/39RfhMT

A Career in Advancing Neuroimaging

"Our experience as physicians and patients is kind of getting lost in this web of the healthcare system," says Michael Barnett, MD, Brigham and Women's Hospital. In this podcast, Barnett discusses his research analyzing patient sharing networks and their associated cost of care, as well as his work evaluating policies aimed at reducing opioid use disorder.

Community-Engaged: Machine Learning and Health Equity

ThinkResearch

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