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Join us this week for a fascinating discussion about artificial intelligence in neonatology with doctors Kristyn and Andrew Beam.
Dr. Kristyn Beam is an attending neonatologist at Beth Israel Deaconess Medical Center in Boston, MA. She is also an Instructor in the Department of Pediatrics at Harvard Medical School. Her research focuses on machine learning applications for neonatal data with a focus on improving our decision-making in the NICU at the point of care and ultimately improving neonatal outcomes.
Dr. Andrew Beam is an assistant professor in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health, with secondary appointments in the Department of Biomedical Informatics at Harvard Medical School and the Department of Newborn Medicine at Brigham and Women’s Hospital. His research develops and applies machine-learning methods to extract meaningful insights from clinical and biological datasets, with a special focus on neonatal medicine.
Support the show
As always, feel free to send us questions, comments, or suggestions to our email: [email protected]. You can also contact the show through Instagram or Twitter, @nicupodcast. Or contact Ben and Daphna directly via their Twitter profiles: @drnicu and @doctordaphnamd. The papers discussed in today's episode are listed and timestamped on the webpage linked below.
Enjoy!
By Ben Courchia & Daphna Yasova Barbeau4.9
151151 ratings
Send us a text
Join us this week for a fascinating discussion about artificial intelligence in neonatology with doctors Kristyn and Andrew Beam.
Dr. Kristyn Beam is an attending neonatologist at Beth Israel Deaconess Medical Center in Boston, MA. She is also an Instructor in the Department of Pediatrics at Harvard Medical School. Her research focuses on machine learning applications for neonatal data with a focus on improving our decision-making in the NICU at the point of care and ultimately improving neonatal outcomes.
Dr. Andrew Beam is an assistant professor in the Department of Epidemiology at the Harvard T.H. Chan School of Public Health, with secondary appointments in the Department of Biomedical Informatics at Harvard Medical School and the Department of Newborn Medicine at Brigham and Women’s Hospital. His research develops and applies machine-learning methods to extract meaningful insights from clinical and biological datasets, with a special focus on neonatal medicine.
Support the show
As always, feel free to send us questions, comments, or suggestions to our email: [email protected]. You can also contact the show through Instagram or Twitter, @nicupodcast. Or contact Ben and Daphna directly via their Twitter profiles: @drnicu and @doctordaphnamd. The papers discussed in today's episode are listed and timestamped on the webpage linked below.
Enjoy!

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