Saeed Hassanpour

Join us on April 18 for the 2025 CPHAI Symposium on Precision Health & AI at Dartmouth! Featuring keynotes by @pranavrajpurkar (Harvard) and @drnigam (Stanford), plus leaders from @Dartmouth and @DartmouthHealth. Full agenda and registration: c-phai.org/symposium-2025

In a recent episode of Dartmouth Health’s “The Cure Podcast,” Saeed Hassanpour, PhD, a @DartmouthCancer researcher, explores how AI is already impacting patient care, diagnostics, and the daily workflow of healthcare professionals. Read more: dartmouth-health.org/about/news/art…

When compassion meets innovation, lives change. Felix Davis '26 is transforming rural health care in Ghana. Portable microclinics + AI software = medical access for remote areas. He's already served 380+ patients and is just getting started. bit.ly/3NvTI9x

Announcing the Rayan International AI Contest hosted by Sharif University of Technology! • Over $35,000 in prizes for the top 3 teams • Top 10 teams’ achievements published in a top-tier conference • Teams of up to 4 members • 3 challenging contest phases Join the race to advance Trustworthy AI! Register now: AI.rayan.global

Lavita AI is thrilled to announce a research collaboration with the Center for Precision Health & Artificial Intelligence (CPHAI c-phai.org), co-led by our advisor Prof. Saeed Hassanpour @saeedhp. CPHAI’s stated mission is to “support novel, interdisciplinary research in artificial intelligence and machine learning to harness the power of biomedical data to improve public health and advance healthcare delivery while ensuring the ethical use of AI”. Lavita AI is committed to working with Prof. Hassanpour and CPHAI in pursuing its mission and pushing the boundaries of AI research and applications for patients and individuals globally. Stay tuned for updates on this exciting collaboration!

Grateful for the engaging discussions on AI in healthcare at CPHAI's inaugural symposium. Special thanks to Drs. @curtlanglotz & @AI4Pathology for their insights and President @sianbeilock & @Dartmouth's leadership for their support and encouragement 🙏 home.dartmouth.edu/news/2024/04/s…

@SquareZollo Please check your spam folder.

@saeedhp Hi Professor, I've requested download of the MHIST dataset twice and have not received any reply. Could you please advise how we might gain access to use the dataset for our research project? Thanks!

It's important to have conversations about AI in health care, says @CPHAI_Dartmouth's @saeedhp. Otherwise, “we might end up with technology that is not aligned with our values, benefits only a few, and exacerbates biases and disparities in our society.” bit.ly/49g08SE

Looking forward to this!

Join us on Zoom tomorrow at 2PM ET for the MLxMed seminar “Advancing Precision Medicine through Machine Learning in Computational Pathology” with @dartmouth Prof. @saeedhp. Co-sponsors: @PittTweet @UPMC @UofT @kbatmang #ML Learn more: spr.ly/6017Zk9ml

Congrats to @dartmouth PhD student, Shuai Jiang, on defending his thesis on multimodal AI for cancer risk/prognosis. He's been a true innovator & was a pleasure to advise. Best wishes in the next chapter at @Meta. Thanks to the committee & @pranavrajpurkar for invaluable feedback

@Faraz_Farhadi @mghradchiefs @MoozhanNikpanah Congratulations Faraz!

Very excited to join the @mghradchiefs!couldn’t have done it without the unwavering support of @MoozhanNikpanah, my family, and friends. Many thanks to all my mentors for their guidance along the way!

Join us at CPHAI Symposium on April 3 in Hanover for discussions on Precision Health & AI, with opening remarks by President @sianbeilock, keynotes by @curtlanglotz & @AI4Pathology, & distinguished speakers from @Dartmouth & @DartmouthHealth. More info: c-phai.org/symposium-2024

@proftatonetti Congratulations Nick!

I just found out I got an academic promotion to full Professor! 😁☺️

Tenure-Track Assistant Professor Position at @Dartmouth Biomedical Data Science Department and Center for Precision Health & AI. An excellent place to work on advancing AI in healthcare. Please apply or retweet/share with anyone who might be interested. tinyurl.com/3np9d5kd

CTBH in the news! Center Director, Lisa Marsch and Faculty Affiliate, @saeedhp discuss the benefits of #artificalIntelligence in healthcare at the 2023 Dartmouth Artificial Intelligence Conference thedartmouth.com/article/2023/1…

Transforming precision health with AI! CPHAI Director Saeed Hassanpour and the Dartmouth AI Conference paved the way for cutting-edge advancements in Precision Health. 💉🌐 #DartmouthAI #AIforMedicine #HealthTech #tuck

@_jasonwei That was a wonderful learning process back in 2018! You definitely earned an honorary white pathologist's lab coat in that project!

One pattern I noticed is that great AI researchers are willing to manually inspect lots of data. And more than that, they build infrastructure that allows them to manually inspect data quickly. Though not glamorous, manually examining data gives valuable intuitions about the problem. The canonical example here is Andrej Karpathy doing the ImageNet 2000-way classification task himself. And in the era of large language models, manually examining data is probably even more insightful since completions are hard to evaluate via benchmarks. In this spirit, I recently did a few days of pair programming with @hwchung27 where we were starting on a new problem. Instead of trying to replicate baselines and design new methods, we ran some evaluations and manually inspected them to gain insights. We first paid about one day of overhead getting all the relevant information in a single UI so we could examine the data without having to click through multiple web pages. The second day, we spent an afternoon reading examples together and taking notes on the patterns that we noticed in the examples. ChatGPT generates long text, and we actually read the whole thing carefully, even if one example took 20 minutes to understand. I think we both gained a deeper understanding of the problem that we could not have gotten from reading research papers. (In 2018, for example, I helped pathologists label a lot of data to train a lung cancer classifier. After having manually labeled 200+ images (with pathologist correction), I’d probably gained a pathologist-level understanding at that one particular lung cancer classification task :))

We are thrilled to announce a brilliant addition to the Lavita Advisory Council - Dr. Saeed Hassanpour, Professor of Biomedical Data Science, Computer Science, and Epidemiology, Founding Director of Dartmouth Center for Precision Health & Artificial Intelligence (CPHAI) at Geisel School of Medicine at Dartmouth College, has joined the Lavita advisory council. Welcome on board, Dr. Hassanpour! link.medium.com/hIrmRiropDb

@PedramHosseini Thanks @PedramHosseini!

Welcome aboard @saeedhp 🙂🚀