The depth of AI talent at Stanford is growing -- join us! Stanford University School of Medicine (SOM) is seeking world-class experts in biomedical AI and data science through a Faculty Cluster Hire Search. Specific interest lies in candidates who have experience developing and applying novel biomedical AI and data science methods that incorporate biomedical domain expertise to ensure relevance and impact to health and medicine. Successful candidates will have an MD, MD/PhD, or PhD, with substantial expertise in one or more aspects of biomedical data science enabled or enhanced by AI. They will be expected to: - collaborate within their respective departments/institutes and across SOM and our university at large; - develop an independent research program that advances AI approaches to biomedical data science, with a focus on their use in basic, translational, clinical, and/or population sciences; and - teach students, residents, postdoctoral fellows and clinical fellows, and participate in relevant clinical and basic science conferences. Interested? Learn more about opportunities here: https://lnkd.in/eG-U-JVF Review of complete applications will begin on September 23, 2024, and will continue until the positions are filled. #DigitalHealth #HealthResearch #StanfordMedicine
Stanford Center for Digital Health (CDH)
Research Services
Stanford, CA 3,185 followers
Shaping the future of digital health, together.
About us
At the Stanford Center for Digital Health (CDH), we believe in leveraging the power of technology and innovation to improve people’s lives. We aim to bring the best and brightest minds of Stanford, Silicon Valley, and the world together to solve the most pressing questions in a way that is scientifically rigorous and ethically sound.
- Website
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https://med.stanford.edu/cdh.html
External link for Stanford Center for Digital Health (CDH)
- Industry
- Research Services
- Company size
- 2-10 employees
- Headquarters
- Stanford, CA
- Type
- Educational
Locations
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Primary
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Stanford, CA, US
Employees at Stanford Center for Digital Health (CDH)
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Michael Avanti Lopez
Executive Director @ Stanford Center for Digital Health
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Nina Vasan, MD, MBA
🧠x🤖 Mental Health x AI | 💡 Founder + Executive Director @ Brainstorm: The Stanford Lab for Mental Health Innovation | 👩🏻⚕️ Psychiatrist +…
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Dana Cho
VP of Design @ Pinterest, Advisory Board Member | former Google, IDEO Partner
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Tania Chen
Primary Care Physician, Public Health Professional
Updates
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Get to know CDH Digital Health Scholar Daniel Seung Kim, who is a cardiology fellow and lead fellow for the Translational Investigator Program (TIP, Physician-Scientist Training Program) at Stanford University School of Medicine. He aims to leverage advances in language models to develop evidence-based coaching interventions to increase physical activity as an avenue to decrease cardiometabolic disease burden and prevent and treat downstream heart disease. His specific research focus is the MyHeart Counts smartphone app, which is a platform for digital studies of human health designed in collaboration with Apple and Google. In addition to the Center for Digital Health, his work is also funded by The National Institutes of Health and Wu Tsai Human Performance Alliance. We look forward to supporting his research efforts! #DigitalHealth #Research #StanfordMedicine
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Meet Tugce Akcan, one of our 2024-2025 Digital Health Scholars who is an endocrinology fellow in the research track at Stanford University School of Medicine. Prior to arriving at Stanford, she received her medical degree from Istanbul University and completed her residency at Marshfield Clinic Health System. Today, her primary research focus is on diabetes technology. "My goal is to advance diabetes care through innovative diabetes technology and digital health solutions, aiming to improve outcomes and quality of life for individuals with diabetes," she explains. We're excited to support her as she pursues her research goals! #DigitalHealth #Research #StanfordMedicine
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Submit your proposal for our 2024 pilot grant cycle by Aug. 1! This program, open to Stanford community members, awards one-year grants of $50,000 each, to support digital health research that aims to improve health worldwide. Interested? Learn more here: https://lnkd.in/ebQ77Shi #DigitalHealth #HealthResearch
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We're pleased to announce Stanford Center for Digital Health's 2024-2025 Digital Health Scholars! - Daniel Seung Kim - Tugce Akcan - Jiyeong (Jasmine) Kim As the next generation of digital health experts, we look forward to their contributions to our field. #DigitalHealth #Research #StanfordMedicine
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If you're a Stanford community member with an interest in digital health research, we invite you to submit your proposal for our pilot grant program. This initiative offers one-year grants worth $50,000 each. While the program welcomes submissions from all areas related to digital health, we have a keen interest in three research areas: 1. Ethical and responsible use of AI in health 2. Digital solutions for healthy aging, cognition, and longevity 3. Understanding the positive and/or negative impact of digital tools and services on health and wellbeing Proposals are due Aug. 1. Learn more: https://lnkd.in/ebQ77Shi #DigitalHealth #HealthResearch #HealthyAging #DigitalHealthTools
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Exciting new work from CDH Pilot Grant Awardee Akshay Chaudhari and collaborators on the development of a vision language foundation model, called Merlin. Learn more below! #DigitalHealth #AIinHealth
🎉 Excited to introduce Merlin, a vision language foundation model for 3D computed tomography Trained to understand 3D abdominal CT scans using supervision from: Structured electronic health records (1.8+ million codes) Natural language radiology reports (6+ million tokens) 📰 Paper: https://lnkd.in/geCBMue5 Fantastic work led by Louis Blankemeier with a fantastic and large team of clinical experts across a multitude of domains! 👉 Over 85M CT scans annually in the US and increasing at 6% per year, contributing to a shortage of radiologists. AI, particularly vision language models (VLMs), could help offset this. However, current medical VLMs are generally limited to 2D images and short reports, and do not leverage electronic health record (EHR) data for supervision. Merlin addresses these concerns and incorporates all modalities EHR data and long radiology reports during pretraining. 👉 We evaluate Merlin on 6 task types and 752 individual tasks: Zero-shot findings classification (31 findings) Phenotype classification (692 phenotypes) Zero-shot cross-modal retrieval (image to findings and image to impressions) 5-year disease prediction (6 diseases) Radiology report generation 3D semantic segmentation (20 organs) 👉 Our evaluation dataset includes 5k CTs from Stanford and 7k CTs from an external site (besides TCIA and TotalSegmentator datasets). ❗️We outperform many task specific baselines using Merlin as the underlying model. ❗️For tasks such as zero-shot classification, we can see F1 scores of 0.7-0.8 across many common findings! ❗️For future disease prediction, we can accurately predict future CVD/MSK diseases using tens of positive labels only! ❗️We can attach LLMs to Merlin using adapters to directly start generating Findings sections of radiology reports! ❗️We validate that the features learned during model training are likely not spurious using counterfactual reasoning. 💰 We embrace being "GPU poor" and show how we can train such a model using ONLY 1 A6000 GPU in <2 days!! 👐 We plan on sharing code, models, and most importantly, a new dataset of 25k CT images + radiology reports soon! Work done at Stanford Radiology and Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI)
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Stanford Center for Digital Health is thrilled to announce the next cycle of our pilot grant program, which awards one-year grants of $50,000 each! - Collaborative projects that bring together investigators from across different disciplines are highly encouraged. - We encourage applicants to utilize a multi-PI approach where at least two of the lead investigators are from different departments or schools at Stanford. - Although we will consider applications across all areas related to digital health broadly defined, we are especially interested in proposals related to the following research areas: 1. Ethical and responsible use of AI in health 2. Digital solutions for healthy aging, cognition, and longevity 3. Understanding the positive and/or negative impact of digital tools and services on health and wellbeing Proposals are open to Stanford community members and are due Aug. 1. Award recipients will be notified in early October. Learn more and apply: https://lnkd.in/ebQ77Shi #DigitalHealth #ArtificialIntelligence #AIInHealth
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Our first CDH grant writing retreat was time well spent! Junior CDH-affiliated faculty, pilot grant awardees and other team members united for a day of deep-focus writing and project planning, fueled by a group lunch. Extra thanks to our director Eleni Linos for being on hand to offer expert guidance. #GrantWriting #DigitalHealth #CDHPilotGrant
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"Taking part in the inaugural session on artificial intelligence and augmented reality at the SID was especially exciting," says CDH Travel Award recipient and Digital Health Scholar Michael Chen, who took the stage at Society for Investigative Dermatology's 2024 Annual Meeting in Dallas, Texas. At the event, he presented his project, "Performance and risk of harm of a large language model on dermatology continuing medical education questions." Reflecting on the program, Chen says: "I felt honored to learn about the impactful interdisciplinary research happening within dermatology. … I am looking forward to continuing to work with the wonderful colleagues I met throughout the conference." #LargeLanguageModel #Dermatology #DigitalHealth
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