The future is computational. Interviews with clinicians, academics and business leaders involved in computational healthcare work. | Get in touch: hi@alexdavids...
#015 AI for Medical documentation - Alex Lebrun (CEO Nabla)
Alex Lebrun is cofounder and CEO of Nabla. Having raised $17 million in seed funding, they are developing technology that can listen to medical consultations and automatically generate precise, ready-to-use clinical letters. This innovation not only saves doctors valuable time but also ensures more accurate, consistent documentation, potentially improving patient outcomes.
Before launching Nabla, Alex had already established himself as a serial entrepreneur in the AI domain. He previously founded Wit.ai, a natural language platform that was acquired by Facebook, as well as VirtuOz, an AI-driven customer service solution acquired by Nuance in another multi-million-dollar deal. Drawing on his extensive background, Alex shares the strategic decisions and product development insights that allowed him to evolve from these earlier ventures into a technology that addresses critical needs in healthcare.
In our conversation, we delve into how Nabla’s system was engineered—from the algorithms that convert speech to text and structure clinical data to the workflow integrations designed to fit seamlessly into a doctor’s routine. Alex outlines the startup’s core use cases, including note-taking in primary care settings and specialized fields where detailed documentation is essential. Beyond immediate applications, he provides a thoughtful perspective on how machine learning can help transform medicine more broadly, enabling more personalized care, better patient engagement, and even aiding in complex diagnostic support down the line.
Whether you’re fascinated by AI’s potential in healthcare, curious about building a transformative medical technology company from the ground up, or eager to understand the lessons learned from successful exits to industry giants, this episode offers a comprehensive look at the present and future of AI in medicine.
Alex Lebrun Twitter: @lxbrun
--------
40:59
#014 Whole brain emulation, consciousness and cryonics - Dr Anders Sandberg
Send us a textDr Anders Sandberg is a senior research fellow at the Future of Humanity Institute at the University of Oxford. He holds a PhD in computational neuroscience from Stockholm University. His work is wide ranging, including the societal and ethical issues surrounding human enhancement and new technology, as well as assessing the capabilities and underlying science of future technologies. His research includes work on cognitive enhancement and technical roadmaps on whole brain emulat...
--------
1:42:54
#013 Effective Altruism, Podcasting, Clean Air and AI Safety - Fin Moorhouse
Send us a textFin Moorhouse is a researcher at Longview Philanthropy. Before that, he was a Research Scholar and assistant to Toby Ord at Oxford University’s Future of Humanity Institute. He co-hosts a podcast called Hear This Idea, about about ideas for solving important problems, and the people working on them ranging form AI safety, Biorisk to global development. He writes about effective altruism, existential risk, and ways to improve the (longterm) future on his writing page. We dis...
--------
1:37:24
#012 Making medical data useful, ubiquitous and safe at the Oxford Internet Institute - Dr Jess Morley
Send us a textJess Morley is a PhD student at the Oxford Internet Institute at Oxford University. Her work focuses on understanding the ethical, philosophical and practical ramifications of the increasing use of technology in healthcare. She was The lead tech advisor for data-driven technology at UK Department of Health and Social Care. She was a contributor towards the Goldachre review which looked at the efficient and safe use of health data for research and analysis and how this can ...
--------
1:00:22
#011 Publishing the highest quality medical AI papers at Stanford - Dr James Zou
Send us a textDr James Zou is an Assistant Professor of Biomedical Data Science and Computer Science at Stanford University. He works on making machine learning more reliable, human-compatible and statistically rigorous. He received his Ph.D from Harvard in 2014, and was at one time a member of Microsoft Research, a Gates Scholar at Cambridge and a Simons fellow at U.C. Berkeley. He joined Stanford in 2016 and his research is supported by the Sloan Fellowship and the Google and Tencent A...
The future is computational. Interviews with clinicians, academics and business leaders involved in computational healthcare work. | Get in touch: [email protected]