Greg and Matias interview Luis Voloch, CEO and Co-Founder of Jimini Health, an AI behavioral health company. He previously co-founded and served as CTO of Immunai, where he applied machine learning to immunology and drug discovery. In this episode, we discuss: How LLMs expand the scope of machine learning from rule-based tasks to open-ended reasoning and dialogueWhy healthcare adoption is tiered, beginning with clinician-facing AI scribes and moving toward patient-facing companies...
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Greg and Matias interview Luis Voloch, CEO and Co-Founder of Jimini Health, an AI behavioral health company. He previously co-founded and served as CTO of Immunai, where he applied machine learning to immunology and drug discovery. In this episode, we discuss: How LLMs expand the scope of machine learning from rule-based tasks to open-ended reasoning and dialogueWhy healthcare adoption is tiered, beginning with clinician-facing AI scribes and moving toward patient-facing companies...
The 4-Hour Sleepers Redefining Human Limits with Ying-Hui Fu of UCSF
Business Trip
33 minutes
4 months ago
The 4-Hour Sleepers Redefining Human Limits with Ying-Hui Fu of UCSF
Matias and Greg interview Ying-Hui Fu, PhD, is a Professor of Neurology at UCSF and a world leader in the genetics of sleep. Her lab has discovered the first-known genes behind “natural short sleepers”. Her work bridges human genetics and neuroscience to uncover how to modulate sleep for brain health, aging, and neurodegenerative diseases. In this episode, we discuss: How some people thrive on 4–6 hours of sleep with rare genetic mutationsWhy sleep efficiency is more important than total hour...
Business Trip
Greg and Matias interview Luis Voloch, CEO and Co-Founder of Jimini Health, an AI behavioral health company. He previously co-founded and served as CTO of Immunai, where he applied machine learning to immunology and drug discovery. In this episode, we discuss: How LLMs expand the scope of machine learning from rule-based tasks to open-ended reasoning and dialogueWhy healthcare adoption is tiered, beginning with clinician-facing AI scribes and moving toward patient-facing companies...
