Dev and Doc: AI For Healthcare Podcast

In this episode of Dev and Doc, we deep dive into the world of Digital Twins. Popularised in engineering, we explore key concepts and ideas before looking to the future: how we can combine digital twins with today's powerful AI /GPT-based models (LLMs) and healthcare data to bring on a new revolution of healthcare to the world.This means the chance for every single person to create digital twins of themselves where they can understand their personal health, risks, disease trajectories, and treatment outcomes by simulating the future. This is the true promise of precision medicine for all. Crazy, right?Dev and Doc recently joined forces to build this exact vision in their start-up, Nuraxi.🚀 Nuraxi is a deep-tech company focused on advancing health and precision medicine through artificial intelligence and digital twin technology. https://www.nuraxi.ai/👋 Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :)Timestamps:00:00 - Intro: Digital Twin (DT)01:22 - Start / Introduction to DT08:28 - Levels of DTs18:33 - Using natural language to capture biology complexities and scales26:45 - First time in humanity: Combination of AI, compute, healthcare data, and wearables33:15 - Building Agentic Health Twins at Nuraxi38:15 - Combining AI and Digital Twins: GPT-based simulations of the future44:20 - To change healthcare, we must be able to predict the future49:10 - Future directions: From molecular and organ twins to Population TwinsThe Hosts:👨🏻‍⚕️ Doc - Dr. Joshua Au YeungLinkedIn Profile🤖 Dev - Zeljko KraljevicTwitter ProfileReferences:• Nuraxi: Website• EU's Earth Twin: Destination Earth• Blog on language representation of biology: Read here• Foresight GPT (The Lancet): Read PaperListen & Subscribe:📺 YouTube🎧 Spotify🍏 Apple Podcasts📝 SubstackCredits:📧 Enquiries: [email protected]🎞️ Editor: Dragan Kraljević (Instagram)🎨 Brand Design: Ana Grigorovici (Behance)

Join Josh and Zeljko live at HETT 2025 in London - covering the most exciting topics and highlights that are upcoming in AI for healthcare. Coming from the duo who are living and breathing AI for healthcare, and together, have worked across every area of healthTech - from the hospital frontlines, to university research, to NHS implementation, to building industry grade agents including AI scribes, computer control and digital twins, to product and compliance. This is one not to miss! 00:00 start and intro 2:15 What are AI agents? (and why they're different from chatbots) 3:52 AI scribes: the 150 company sprint to "scribe plus" features 8:02 AI psychosis and mental health - all LLMs reinforce delusional beliefs 9:34 Computer control: Automating hospital workflows by mimicking human actions 13:42 Digital twins for health are the future: A safer path forward? 18:40 How does the national health service become AI enabled? 22:22 closing remarks - Is AI in healthcare a hype or hope? 25:12 questions - digital twins for individuals or for cohorts? 26:52 questions - Lessons from building AVTs and digital twins for consumer space 29:02 questions - LLM clinical summarisation - risks and benefits 31:17 questions - ethics of AI vs Human errors. is it the same? 33:02 questions - challenges and barriers to AI deployment in NHS 👋 Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :) 👨🏻⚕️ Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ 🤖 Dev - Zeljko Kraljevic - https://twitter.com/zeljkokr Follow us: YT - https://youtube.com/@DevAndDoc Spotify - https://podcasters.spotify.com/pod/show/devanddoc Apple - https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120 Substack - https://aiforhealthcare.substack.com/ For enquiries: 📧 [email protected] Credits: 🎞️ Editor - Dragan Kraljević - https://www.instagram.com/dragan_kraljevic/ 🎨 Brand design and art direction - Ana Grigorovici - https://www.behance.net/anagrigorovici027d

Whenever there was AI, there were benchmarks- from the turing test, to society-changing benchmarks like MNIST and ImageNet to modern problems like the ARC prize, benchmarked served a vital purpose to measure the performance of AI models. But something has shifted in modern times, in the LLM era have benchmarks lost their utility, becoming mere advertisement for big tech? Even seemingly more sophisticated benchmarks like LM Arena can be gamed by tech giants. We also deep dive into healthcare benchmarks like OpenAI's Healthbench (deeply problematic) and Microsoft's AI-DXO orchestrator agent for diagnosis. Where is this all going? How do we make the perfect benchmark? Or is the real work to be done afterwards in the real world?👋 Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :)---Timestamps00:00 Intro - The OG benchmarks - Turing test, MNIST, ImageNET06:40 Are large language models benchmarks similar to humans taking tests?10:05 Are we testing model capability vs production ready?12:00 LLM era - data contamination15:30 LM Arena - The leaderboard illusion paper - how big tech games benchmarks28:35 Goodhart's law - When a measure becomes a target, it ceases to be a good measure32:05 Some good benchmarks - games - Pokemon, ARC prize, Minecraft34:35 Medical benchmarks - OpenAI's healthbench has some big problems46:50 Microsoft AI-DXO orchestrator for case reports---Connect with UsYour Hosts:👨🏻‍⚕️ Doc - Dr. Joshua Au Yeung - LinkedIn🤖 Dev - Zeljko Kraljevic - TwitterFollow & Subscribe:YT: https://youtube.com/@DevAndDocSpotify: Follow us on SpotifyApple Podcasts: Listen on Apple PodcastsSubstack: https://aiforhealthcare.substack.com/For enquiries:📧 [email protected] Credits🎞️ Editor: Dragan Kraljević - Instagram🎨 Brand & Art: Ana Grigorovici - Behance

AI agents are here, but how did we get here in the first place? How do we build and leverage AI agents for high stakes domains like healthcare? In this episode of Dev and Doc, we go deep into the forest that is AI agents and computer control - starting from the "caveman" era of LLMs discovering tools, to cultivating intelligent models and agentic workflows. We dissect everyday agents like MANUS AI, and deep dive into how, where and when AI agents should be used. Are these agents hype or hope, is this actually the second deepseek moment?👋 Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :)Episode Timestamps:00:00 Highlight3:13 start / intro5:20 LLM's caveman era - tool usage6:46 Agents have autonomy and interact with environment11:15 workflows and agentic flows15:30 when should you be using an agent?24:27 vibe coding is like driving a car29:07 Demo - MANUS gathering financial trends, computer control35:55 Demo MANUS AI- website creation for Autism Assessment49:05 computer control factions- Freedom vs Process automation55:00 Autism website testing59:13 summary + endHosts:👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokrFind us on:YT - https://youtube.com/@DevAndDocSpotify - https://podcasters.spotify.com/pod/show/devanddocApple- https://podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120Substack- https://aiforhealthcare.substack.com/For enquiries:📧[email protected]:🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d

body{font-family:sans-serif;color:#fff;background:#121212;margin:0;padding:10px}p{margin:8px 0}h1{font-size:18px;margin:10px 0}.note{background:#535353;padding:10px;border-radius:4px;margin:10px 0}.timestamps span{color:#1DB954;font-weight:bold}a{color:#1DB954;text-decoration:none}Can Claude perform a range of complex clinical tasks? Dev and Doc are here to investigate.Claude sonnet 3.7 was released less than 48 hours ago, the model is highly intelligent and is one of the best we have seen in recent memory. Definitely passes the vibe check.We give some amazing examples of coding with claude with few shot prompts, and cover technical and clinical evaluations and share our first thoughts. We even tested claude to take a patient history!NB - PLEASE don't do this at home, obviously this is a demo and we do not in any way condone or recommend using an LLM as your doctor or healthcare provider, we are just demonstrating what the future could be. If you are sick, please seek a medical professional.👋 Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :)TIMESTAMPS00:00 start + highlights01:54 Introduction08:54 Benchmarks, state of the art14:44 guardrails, refusals, AI safety and catastrophic risks22:36 show and tell- great for coding and make video games!26:54 example hospital runner30:17 Medical use cases- clinical coding, biomedical entity extraction37:04 only medical example in Claude model card- still hallucinating citations38:37 making an anatomy app40:10 forecasting clinical diagnoses43:36 taking a medical history from a patient53:33 wrap up👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - linkedin.com/in/dr-joshua-auyeung🤖Dev - Zeljko Kraljevic twitter.com/zeljkokrYT:youtube.com/@DevAndDocSpotify:podcasters.spotify.com/pod/show/devanddocApple:podcasts.apple.com/gb/podcast/dev-and-doc-ai-for-healthcare-podcast/id1751495120Substack:aiforhealthcare.substack.comFor enquiries - 📧 [email protected]🎞️ Editor - Dragan Kraljević instagram.com/dragan_kraljevic🎨 Brand design - Ana Grigorovici behance.net/anagrigorovici027d