We empower the digital health community to rapidly prototype and build modern, interoperable, scalable digital health solutions on a variety of platforms.
External link for Stanford Biodesign Digital Health
Stanford Biodesign Digital Health reposted this
Digital Health & AI Architect, Clinical Assistant Professor at Stanford School of Medicine
Huge thanks to Ricky Bloomfield for visiting us and speaking to our Stanford Biodesign Digital Health students about ŌURA's incredible rise. 🚀
Stanford Biodesign Digital Health reposted this
Digital Health & AI Architect, Clinical Assistant Professor at Stanford School of Medicine
I don’t think I could have asked for a better testimonial for the new Stanford Spezi “vibe-code friendly” templates we’ve been working on. 😀 A hackathon is the perfect place to put them to the test. Congrats Krishna and CoCo team, as well as all the other teams in our Spezi track at the Rutgers Robert Wood Johnson Medical School Health Hack for going from zero to something real and impactful in just 48 hours! 🚀
Software Engineer (Full-Stack) × Data/AI | React/TypeScript | Python/Java (FastAPI/Spring) | SQL/ETL | RAG, NLP/GenAI | AWS/GCP | MSCS Rutgers | Ex-Freshworks
🏥 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐀𝐈 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐟𝐨𝐫 𝐇𝐨𝐬𝐩𝐢𝐭𝐚𝐥𝐢𝐬𝐭𝐬 (𝗮𝗸𝗮. 𝗖𝗼𝗖𝗼 𝗔𝗜) 🏥 Excited to share what our team CoCo (Code × Coat) built at the Robert Wood Johnson University Hospital at the Rutgers Health Hackathon Fall 2025! Engineers and medical professionals came together to create a mobile-first AI assistant helping hospitalists navigate their shifts with instant access to accurate operational information. Hospitalists manage 15–20 patients while constantly needing quick answers about protocols, EMR workflows, and clinical pathways. The learning curve is steep for newcomers with a heavy reliance on peers for support. Current solutions? Endless manual searches, emails, and interrupting equally busy colleagues. So, we developed an AI-powered application for hospital operations but built for accuracy and trust. Three integrated features: a conversational AI assistant (AWS Bedrock) with real-time streaming responses; a human-in-the-loop ticketing system that escalates when AI confidence drops (accuracy over hallucination); and a notification system with two-level acknowledgment tracking. Tech Stack: Amazon Web Services (AWS) Bedrock, Glue, S3, EC2, Kendra, Lambda, CloudFormation, Cognito, DynamoDB, React Native+TS on Spezi platform with dedicated iOS support, Server-Sent Events for notifications Impact: Faster onboarding, fewer administrative delays, better patient care. Both new and seasoned hospitalists get the information they need, when they need it. Huge kudos to our team, Krishna S. for his excellence in building our cross-platform React Native frontend and his invaluable support across all engineering domains. Variath Madhupal Gautham Nair and myself built the core backend integrating the UI with our RAG response system. Sharan Varghese and Puja Sridhar architected and built the entire RAG pipeline from the ground up. On the medical side, Pratham Tamakuwala, Naiya P., Isha Patel, and Dr. Dhriti Desai helped us prioritize use cases and synthesize data as medical professionals bridging the gap between tech and real-world clinical workflows. Proud of what we built in 48 hours, pulling all-nighters together. Even prouder that our team made it deliver. 🚀 Special thanks to the judges and mentors Naveena Yanamala, MS, PhD, FASE, Jay Naik, Sheetal Patel, MD, Roshan Hussain, Vishnu Ravi, MD, Nirav Shukla, Payal P. for providing feedbacks and guiding us throughout. 🔗 Feel free to check out the demo here - https://lnkd.in/gKX_EU8D #HealthTech #AI #Innovation #Hackathon #AWS #DigitalHealth
Stanford Biodesign Digital Health reposted this
Seeking Full time opportunities - Fall 2025 | Fullstack Engineer | MS CS @ Rutgers | Building Scalable Systems & Exploring AI | ex-Zoho
🚀 𝗧𝗛𝗘 𝗙𝗢𝗥𝗖𝗘 𝗪𝗔𝗦 𝗪𝗜𝗧𝗛 𝗠𝗘 𝗔𝗧 𝗧𝗛𝗜𝗦 𝗛𝗔𝗖𝗞𝗔𝗧𝗛𝗢𝗡 🚀 48-hour hackathon. 24 hours of relentless work. Zero sleep. One amazing team. We 𝘀𝗵𝗶𝗽𝗽𝗲𝗱 𝗖𝗼𝗖𝗼 𝗔𝗜 with my favorite crew. Turns out, 𝗜 𝘄𝗮𝘀 𝘁𝗵𝗲 𝗰𝗵𝗼𝘀𝗲𝗻 𝗼𝗻𝗲 and 𝘁𝗵𝗲 𝗙𝗼𝗿𝗰𝗲 𝘄𝗮𝘀 𝘥𝘦𝘧𝘪𝘯𝘪𝘵𝘦𝘭𝘺 𝘄𝗶𝘁𝗵 𝗺𝗲. Here's how it went down. I walked in having never touched 𝗥𝗲𝗮𝗰𝘁 𝗡𝗮𝘁𝗶𝘃𝗲 𝗼𝗿 𝗡𝗼𝗱𝗲.𝗷𝘀 in my life. Big yikes energy! But then Vishnu Ravi, MD (who judges for us, maintains Spezi, and basically knows everything) handed us the 𝗦𝗽𝗲𝘇𝗶𝗥𝗡𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝗧𝗲𝗺𝗽𝗹𝗮𝘁𝗲. That template became my lifeline. Most of the heavy lifting was already there, which meant I could stop fighting boilerplate and actually focus on shipping. And that's when things got weird. 𝗘𝘃𝗲𝗿𝘆 𝘀𝗶𝗻𝗴𝗹𝗲 𝗰𝗵𝗮𝗻𝗴𝗲 𝗜 𝗺𝗮𝗱𝗲 𝗷𝘂𝘀𝘁... 𝘄𝗼𝗿𝗸𝗲𝗱. My teammates would attempt the identical fix and get rejected. I'd push it and watch the universe align perfectly. The odds were not in their favor. Then came the fun part: I got to see my very first app come alive on 𝗶𝗢𝗦 𝗮𝗻𝗱 𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗱𝗲𝘃𝗶𝗰𝗲𝘀. That moment hits different. But I didn't stop there. I ensured the app was 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗳𝗼𝗿 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝘃𝗲𝗻𝗲𝘀𝘀, ensuring the 𝗯𝗲𝘀𝘁 𝘂𝘀𝗲𝗿 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. Why waste all that screen real estate when it could look a whole lot better? Phone needed one flow, the web another. Better UX all around. Full-stack chaos, zero regrets. The app technically 𝗿𝘂𝗻𝘀, 𝗯𝘂𝘁 𝗼𝗻𝗹𝘆 𝗼𝗻 𝗺𝘆 𝗺𝗮𝗰𝗵𝗶𝗻𝗲, which is both hilarious and slightly terrifying. But that's what happens when you're riding the wave of weird developer energy at 3 AM, right??? Real talk though: 𝘇𝗲𝗿𝗼 𝘀𝗹𝗲𝗲𝗽 𝗺𝗲𝗮𝗻𝘁 𝘀𝘁𝗮𝘆𝗶𝗻𝗴 𝗽𝗿𝗲𝘀𝗲𝗻𝘁 𝗳𝗼𝗿 𝗲𝘃𝗲𝗿𝘆 𝗺𝗼𝗺𝗲𝗻𝘁. I was right there; 𝗱𝗲𝗯𝘂𝗴𝗴𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 Variath Madhupal Gautham Nair & Abhinav Bharadwaj, 𝗵𝘆𝗽𝗲-𝗰𝗵𝗲𝗰𝗸𝗶𝗻𝗴 Sharan Varghese & Puja Sridhar 𝗥𝗔𝗚 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲, 𝗸𝗲𝗲𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗺𝗼𝗺𝗲𝗻𝘁𝘂𝗺 𝗮𝗹𝗶𝘃𝗲 when everything felt impossible but somehow still worked. That's what building with a real team looks like. We 𝘀𝗼𝗹𝘃𝗲𝗱 𝗮 𝗿𝗲𝗮𝗹 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 for hospitalists drowning in operational friction. Built it with an amazing bunch of people from both the engineering and medical sides (Pratham Tamakuwala, Dr. Dhriti Desai, Isha Patel, Naiya P.). And yeah, maybe I sacrificed my circadian rhythm in the process, but that's what community hackathons do to you. 🚀 Here's to 𝘀𝗵𝗶𝗽𝗽𝗶𝗻𝗴 𝗳𝗮𝘀𝘁, 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗼𝗻 𝘁𝗵𝗲 𝗳𝗹𝘆, 𝗮𝗻𝗱 𝗺𝗮𝗸𝗶𝗻𝗴 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗹𝗶𝗳𝗲 𝗰𝗵𝗼𝗶𝗰𝗲𝘀 that somehow pan out. Check out the demo: https://lnkd.in/grRk3Ce3 𝗧𝗵𝗮𝗻𝗸𝘀 to the organizers & mentors for bringing this incredible community together, and massive thanks to Amazon Web Services (AWS) for making cutting-edge tools accessible during the hackathon.
Software Engineer (Full-Stack) × Data/AI | React/TypeScript | Python/Java (FastAPI/Spring) | SQL/ETL | RAG, NLP/GenAI | AWS/GCP | MSCS Rutgers | Ex-Freshworks
🏥 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐀𝐈 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐟𝐨𝐫 𝐇𝐨𝐬𝐩𝐢𝐭𝐚𝐥𝐢𝐬𝐭𝐬 (𝗮𝗸𝗮. 𝗖𝗼𝗖𝗼 𝗔𝗜) 🏥 Excited to share what our team CoCo (Code × Coat) built at the Robert Wood Johnson University Hospital at the Rutgers Health Hackathon Fall 2025! Engineers and medical professionals came together to create a mobile-first AI assistant helping hospitalists navigate their shifts with instant access to accurate operational information. Hospitalists manage 15–20 patients while constantly needing quick answers about protocols, EMR workflows, and clinical pathways. The learning curve is steep for newcomers with a heavy reliance on peers for support. Current solutions? Endless manual searches, emails, and interrupting equally busy colleagues. So, we developed an AI-powered application for hospital operations but built for accuracy and trust. Three integrated features: a conversational AI assistant (AWS Bedrock) with real-time streaming responses; a human-in-the-loop ticketing system that escalates when AI confidence drops (accuracy over hallucination); and a notification system with two-level acknowledgment tracking. Tech Stack: Amazon Web Services (AWS) Bedrock, Glue, S3, EC2, Kendra, Lambda, CloudFormation, Cognito, DynamoDB, React Native+TS on Spezi platform with dedicated iOS support, Server-Sent Events for notifications Impact: Faster onboarding, fewer administrative delays, better patient care. Both new and seasoned hospitalists get the information they need, when they need it. Huge kudos to our team, Krishna S. for his excellence in building our cross-platform React Native frontend and his invaluable support across all engineering domains. Variath Madhupal Gautham Nair and myself built the core backend integrating the UI with our RAG response system. Sharan Varghese and Puja Sridhar architected and built the entire RAG pipeline from the ground up. On the medical side, Pratham Tamakuwala, Naiya P., Isha Patel, and Dr. Dhriti Desai helped us prioritize use cases and synthesize data as medical professionals bridging the gap between tech and real-world clinical workflows. Proud of what we built in 48 hours, pulling all-nighters together. Even prouder that our team made it deliver. 🚀 Special thanks to the judges and mentors Naveena Yanamala, MS, PhD, FASE, Jay Naik, Sheetal Patel, MD, Roshan Hussain, Vishnu Ravi, MD, Nirav Shukla, Payal P. for providing feedbacks and guiding us throughout. 🔗 Feel free to check out the demo here - https://lnkd.in/gKX_EU8D #HealthTech #AI #Innovation #Hackathon #AWS #DigitalHealth
Vishnu Ravi, MD led an exciting digital health innovation track this past weekend at the Rutgers Robert Wood Johnson Medical School Health Hack with over 320 participants! Teams competed in an app-building challenge to create real-world solutions for Robert Wood Johnson University Hospital using the Stanford Spezi framework. Oliver Aalami and Aydin Zahedivash joined Vishnu live from Palo Alto to host an engaging workshop introducing participants to the Stanford Mussallem Center for Biodesign innovation process and our digital health tools. Participants had the unique opportunity to beta test and build their solutions upon an exciting new “vibe-code” friendly version of Spezi that allows for rapid prototyping of digital health apps across multiple platforms using AI coding tools. Projects built ranged from workflow tools to clinical trial matching and improving screening tests. 🚀 🏆 The winning team developed an AI assistant for new inpatient physicians — the “Hospitalist Companion” — designed to streamline access to critical workflow knowledge, a major pain point shared by their clinical mentors. They were awarded a $2,000 prize and will continue developing and implementing this promising and practical solution! 👏 Congratulations to all the participants, mentors, and organizers for an inspiring weekend of innovation, collaboration, and impact in digital health! Special thanks to Jay Naik, Naveena Yanamala, MS, PhD, FASE, Ethan Halm, Allison Marcucci, John (Jack) Hemphill, Roshan Hussain and team for the opportunity to collaborate on this event.
Our Biodesign for Digital Health Students are learning all about scaling access to care! 🚀 So far in the course, we’ve covered the fundamentals of Need Exploration and Need Definition, complete with the updated Biodesign curriculum and digital health case studies. The students are finding unmet needs in critical domains of healthcare, including: - Senior care - Mental health - Fertility care - Chronic disease - Cancer care - Hospital-at-home We have had some incredible speakers join us to share contemporary, real-world experiences in digital health, including: Amir Dan Rubin, CEO and Founding Managing Partner of Healthier Capital Shiv (Shivdev) Rao, CEO and Founder of Abridge Marta G. Zanchi, Founder and Managing Partner of Nina Capital (and previous director of the course!) Samuel Thomas, MD, MSc, Co-Founder and Head of Healthcare Innovation at Pocket RN Alesandro Larrazabal, M.D., Founder and CEO of Clarity Pediatrics Stefano Leitner, MD, MPH, Clinical AI Informaticist at Suki Pelu Tran, Founder of Ferrum Health Stay tuned for more updates throughout the quarter! Huge shoutout to our teaching team and the BDHG: Oliver Aalami, Michelle de Haaff, Lyn Denend, Aydin Zahedivash, Moyer, MS, MPH, RD, Eric Markarian, Jane Wang, Meghana Nerurkar, Robin Diane Goldstein, Vishnu Ravi, MD, Paul Schmiedmayer, Florence Heinkelein
Do you want to learn more about using time-series data, including data from sensors, wearables, electronic health records, and smartphones, to advance the applications of AI in digital health and beyond? Check out our latest preprint on Time-Series Language Models (#TSLMs), our #OpenTSLM family of models, and the foundational methodology shaping much of the research to come. If you’re interested in joining these efforts, explore our research opportunities at https://lnkd.in/gTchR9Qu 🚀
Lead Artificial Intelligence and Assistant Director of Digital Health at Stanford Biodesign. Working on the Stanford Spezi open-source ecosystem.
Excited to share a new preprint introducing #OpenTSLM, a new family of Time-Series Language Models (#TSLMs) that natively integrate multivariate time-series data to enable multimodal reasoning. Before our work on TSLMs, we often struggled to effectively integrate digital health data from wearables, smartphones, and sensors with LLMs. The work around TSLMs is a significant next step, introducing reasoning across these multimodal time-series modalities for LLMs. It’s great to see the first results in the preprint, but much more work is needed to build proper time-series foundation models. Let us know if you are interested in the research or want to collaborate on the next steps; we are looking for talented ML researchers and experts to advance this work: https://lnkd.in/gx5BPmx2 Outstanding work by Patrick Langer, Thomas Kaar, Max Rosenblattl, and our amazing team at Stanford University, including Winnie Chow, Aradhana Verma, Brian Han, Daniel Seung Kim, Henry Chubb, Scott Ceresnak, Aydin Zahedivash, Alexander Sandhu, Fatima Rodriguez, MD, MPH, and Oliver Aalami in collaboration with Maxwell A. Xu (MAX), Martin Maritsch, Daniel McDuff, as well as Elgar Fleisch and Filipe Barata at the ETH Zürich Center for Digital Health Interventions (CDHI). Great teamwork by everyone involved! 🚀 https://lnkd.in/gpvGgYxd
Stanford Biodesign Digital Health reposted this
🚀 𝗥𝗲𝗰𝗲𝗻𝘁𝗹𝘆 𝗰𝗮𝗺𝗲 𝗮𝗰𝗿𝗼𝘀𝘀 𝗮 𝗳𝗮𝘀𝗰𝗶𝗻𝗮𝘁𝗶𝗻𝗴 𝗻𝗲𝘄 𝗽𝗮𝗽𝗲𝗿 𝗼𝗻 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 (𝗧𝗦𝗟𝗠𝘀).. As someone who’s been working extensively with 𝘁𝗶𝗺𝗲 𝘀𝗲𝗿𝗶𝗲𝘀 𝗱𝗮𝘁𝗮 over the past two years, from 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝘀𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗺𝗲𝗱𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮 𝗳𝗼𝗿 𝗣𝗮𝗿𝗸𝗶𝗻𝘀𝗼𝗻’𝘀 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝘁𝗼 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗻𝗴 𝗮𝗻𝗼𝗺𝗮𝗹𝗶𝗲𝘀 𝗶𝗻 𝘃𝗲𝗵𝗶𝗰𝗹𝗲 𝗖𝗔𝗡 𝗱𝗮𝘁𝗮, I found this work particularly exciting.. it introduces a new way for AI models to understand and reason over time-dependent data just like they do with text or images. 📄 The paper, “𝙊𝙥𝙚𝙣𝙏𝙎𝙇𝙈: 𝙏𝙞𝙢𝙚 𝙎𝙚𝙧𝙞𝙚𝙨 𝙇𝙖𝙣𝙜𝙪𝙖𝙜𝙚 𝙈𝙤𝙙𝙚𝙡𝙨 𝙛𝙤𝙧 𝙍𝙚𝙖𝙨𝙤𝙣𝙞𝙣𝙜 𝙊𝙫𝙚𝙧 𝙈𝙪𝙡𝙩𝙞𝙫𝙖𝙧𝙞𝙖𝙩𝙚 𝙈𝙚𝙙𝙞𝙘𝙖𝙡 𝙏𝙚𝙭𝙩 𝙖𝙣𝙙 𝙏𝙞𝙢𝙚-𝙎𝙚𝙧𝙞𝙚𝙨 𝘿𝙖𝙩𝙖”, presents OpenTSLM, a new class of multimodal LLMs capable of reasoning across multiple raw time series of different lengths. 💡 𝘼 𝙛𝙚𝙬 𝙝𝙞𝙜𝙝𝙡𝙞𝙜𝙝𝙩𝙨: • Can caption and reason about complex time series data • Keeps LLM-style contextual reasoning and dialogue abilities • Shows state-of-the-art results on medical reasoning tasks (e.g., ECG interpretation) • And it’s fully open-source under MIT license! This impressive work results from a collaboration between Stanford Biodesign Digital Health, ETH Zürich, Google, Amazon and Hugging Face, with support from Thomas Wolf (Hugging Face). 🔗 𝗨𝘀𝗲𝗳𝘂𝗹 𝗹𝗶𝗻𝗸𝘀: 🌐 Website: https://opentslm.com 📄 Arxiv: https://lnkd.in/dn-7FrH5 💻 GitHub: https://lnkd.in/dtztktBn 🤗 Hugging Face: https://lnkd.in/dJNMg2SA #TimeSeries #AI #MachineLearning #DeepLearning #LLM #TSLM #OpenTSLM #DataScience #MultimodalAI #HealthcareAI #AnomalyDetection #SyntheticData #Research #Innovation #OpenSource #HuggingFace #Stanford #ETHZurich
Stanford Biodesign Digital Health reposted this
So cool to see work from our Stanford Biodesign Digital Health group making waves among the big players! 🚀
Chasing the same frontier. Pushing the limits of AI 🚀 𝐓omorrow 𝐒eems 𝐋ike 𝐌agic ✨
So cool to see work from our Stanford Biodesign Digital Health group making waves among the big players! 🚀
Chasing the same frontier. Pushing the limits of AI 🚀 𝐓omorrow 𝐒eems 𝐋ike 𝐌agic ✨
Stanford Biodesign Digital Health reposted this
What is the current state of the digital health ecosystem? What do VCs and investors think about AI in healthcare? These were some of the questions our Innovation Fellows explored in a session with Marta G. Zanchi, founder of Nina Capital and a digital health advisor for Stanford Biodesign, during her recent visit to campus. Marta, an entrepreneur-turned-VC, reviewed the latest developments and statistics on #digitalhealth, walking our fellows through key topics and case studies, including the importance of having a human-in-the-loop, integrating digital health solutions into existing workflows, verticalized care, as well as the opportunities and challenges in building around new payment models. Thank you Marta for making the time to share your invaluable experience and insights!