Having spent years running an AI medical company, speaking to a great many very ill patients, it made me very sad how little agency they were given over their health. Especially women – e.g:
HEALTHCARE AI
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Regulatory barriers hindered medical AI development at Enlitic
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tldr: It's complex. But one key reason I didn't continue my work at Enlitic was because the regulatory and cultural barriers were too high. The technical difficulty was not very high at all.
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Deep Learning Breakthrough in AI-Driven Protein Research
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Deep learning has been an absolute breakthrough in studying protein, so the idea that AI would help with that is what I would expect.
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Navigating AI Regulatory Compliance: Legal Challenges at Tech Conferences
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At conferences I used to go to when I was at Enlitic there were always a few folks that had done or were doing just that. Generally the "figure out how to not get in trouble" seemed to be the hardest part, regardless of jurisdiction.
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Deep Learning Medicine Founder Discusses AI Research Expertise
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(I created the first deep learning for medicine company, and my wife is an AI researcher who has a masters in immunology, so we're involved enough in this stuff to not need to rely on instinct.)
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Expert Consensus in Cancer Biology Outweighs Instinctive Skepticism
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Folks deeply involved in cancer biology and treatment have worked on these kinds of things for many years. "Instinctive skepticism" is no substitute for closely listening to them.
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AI Copilots Revolutionize Medicine with MedOS: ChatGPT, XR Glasses, and Robotic Hands for Doctors
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AI copilots are coming for medicine.
— AI Breakfast (@AiBreakfast) 14 mars 2026
MedOS is basically ChatGPT + smart glasses + robotic hands for doctors.
A physician can wear XR glasses, see a patient, and the system:
• watches the procedure in real time
• reasons with multi-agent AI models
• suggests diagnoses or… pic.twitter.com/PbxnYVO227AI copilots are coming for medicine. MedOS is basically ChatGPT + smart glasses + robotic hands for doctors. A physician can wear XR glasses, see a patient, and the system: • watches the procedure in real time
• reasons with multi-agent AI models
• suggests diagnoses or -
MedOS deployed at Stanford, presented at NVIDIA GTC as AI-native milestone
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The big deal: this isn’t a lab demo. MedOS just deployed inside Stanford Blood Center and Stanford Pathology, and it’s being presented at NVIDIA GTC: the same conference where most of the modern AI stack gets unveiled. If it works, this is the first real glimpse of AI-native
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Personalized Cancer Vaccines for Pets: Scaling AI Healthcare Solutions
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Since we *already* can do n=1 custom cancer vaccines for *pets* at a price that's economic for at least some people, the "we can't scale it" issue doesn't seem entirely true either?
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Should Terminally Ill Patients Access Unproven Cancer Cures?
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This is a really interesting thread. If we literally already have a cure for (some kinds of) cancer, but can't *prove* it's "safe and effective", should terminally ill patients have an option to use it anyway?