William Hsu

🎓 Thinking about graduate studies in biomedical informatics/healthcare AI? Join UCLA’s Graduate Bioscience Virtual Open House on Nov 3, 1:30–3 PM PT! Explore programs + breakout sessions
👉 Register: bit.ly/GPBVirtualFa...
#PhD #UCLA #MedicalInformatics #Bioscience

Well framed op ed. AHRQ is a key component of our public health system and an essential funder of implementation science. Not duplicative!

Evaluating an information theoretic approach for selecting multimodal data fusion methods Interest has grown in combining radiology, pathology, genomic, and clinical data to improve the accuracy of diagnostic and prognostic predictions towa…

@uclaradiology.bsky.social's Drs. Tengyue Zhang, Ruiwen Ding, @hsu-lab.com & @ucsantabarbara.bsky.social 's Dr. Kha-Dinh Luong test PID to fuse imaging, pathology, genomic & clinical data in cancer, finding limits & suggesting parameter tuning & uncertainty checks.

Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data Cancer evolves continuously over time through a complex interplay of genetic, epigenetic, microenvironmental, and phenotypic changes. This dynamic behavior drives uncontrolled cell growth, metastasis,...

ieeexplore.ieee.org/document/110...

Cancer is shaped by complex biological and phenotypic changes over time. ✨ Dive into Luoting Zhuang's and Stephen Park's latest manuscript for a comprehensive primer on how longitudinal and multimodal analysis are advancing #CancerResearch. 🙌💡https://ieeexplore.ieee.org/document/11068945

Ending the academic year on a high with the graduation of 5⃣ members of the #HsuLab 🎓 Rina Ding, Anil Yadav, and Noor Nakhaei will be hooded at @uclaengineering.bsky.social commencement today 🎊 Congrats to @uclacollege.bsky.social #CaSB undergrads Elaine and Nathan 🙌 #BruinProud

Why @hsu-lab.com and I believe that we need more “Contemporary, Diverse, and Annotated Datasets to Advance #AI in #LungCancerScreening” |

What’s Lost: Trump Whacks Tiny Agency That Works To Make the Nation's Health Care Safer - KFF Health News The Agency for Healthcare Research and Quality helped improve health care safety in a country where thousands die of medical errors each year. It was effectively dissolved Tuesday.

Wanted to raise awareness of this piece on what's going on at AHRQ and the importance of continued funding for improving patient safety and provider effectiveness especially in the era of AI kffhealthnews.org/news/article...

Looking forward to the upcoming #AHRQ webinar on #AI tools to improve provider effectiveness and patient outcomes. I'll share our efforts to advance same-day diagnostic follow-up of abnormal screening mammograms through the use of breast AI digital.ahrq.gov/national-web...

💬 | Stephen Park, #bioengineering PhD student at UCLA @hsu-lab.com, presented to an engaged room at #SPIEMedicalImaging this morning.

His work involves developing models to extract robust image representations + exploring optimal strategies for multimodal data fusion, particularly in oncology. 💡

#SPIEMedicalImaging is just around the corner!

This course is an excellent one to add to your conference agenda if you are a data scientist, health information technology practitioner, or clinician informaticist who wants to learn more about evaluating prediction models. 📊💡

#MedicalImaging

Excited to be offering the course "From Analytic to Clinical Validation: Moving AI/ML into Practice" at @spie.org #medicalimaging again in 2025. Covering evaluation metrics, validation study designs, observer studies, and more. Early bird registration ends on Jan 31. spie.org/MI/course/fr...

A comparative analysis of image harmonization techniques in mitigating differences in CT acquisition and reconstruction - IOPscienceSearch A comparative analysis of image harmonization techniques in mitigating differences in CT acquisition and reconstruction, Yadav, Anil, Welland, Spencer Harrison, Hoffman, John M, Kim, Hyun, Brown, Matthew S, Prosper, Ashley E, Aberle, Denise R, McNitt-Gray, Michael F, Hsu, William

🗣️ 1st publication for 2025 from the #HsuLab, examining the effects of computed tomography acquisition and reconstruction parameters on downstream quantitative image analysis and evaluating the ability of various #AI & #ML harmonization methods to mitigate them. iopscience.iop.org/article/10.1...

AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond - Nature Metabolism Here, we introduce Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI), a multidisciplinary data-generation project designed to create and share a multimodal dataset opt...

Here's an amazing multimodal dataset optimized for #AI research in type 2 #diabetes (clinical/EHR, imaging, blood, urine, questionnaires, activity & continuous glucose monitoring, environmental data, more...).

@natureportfolio.bsky.social, funded by NIH Bridge2AI: www.nature.com/articles/s42...

Associate Dean for Health AI Innovation & Strategy and Director, UCLA Center for AI & Smart Health (non-tenured track) University of California, Los Angeles is hiring. Apply now!

WOW! @UCLAHealth hiring Associate Dean for Health AI Innovation & Strategy and Director, @UCLA Center for AI & Smart Health! Tenure-track and non- options available. Opportunity to shape and drive #AI vision and strategy. Apply soon! recruit.apo.ucla.edu/JPF10032

Love to see that we're building up faculty expertise working at the intersection of these areas. Tenure track and open to all ranks!

Thanks Rasu! It's great to be here and at #RSNA24

Thank you to our amazing reviewers. Your input has been invaluable to the editorial team and a critical part of ensuring quality, cutting edge science is featured in the @radiology-ai.bsky.social journal!

The Hsu Lab The Hsu Lab’s vision is to maximize the utility of multimodal data to detect and treat diseases earlier. We harness cutting-edge computational techniques to integrate and transform multimodal data int...

Hello bsky.app 👋! Happy to be here. Looking to join the conversation about using #AI to assist in medical image interpretation and developing novel #ML techniques for multimodal fusion of clinical, imaging, and molecular data to advance the early detection and diagnosis of cancer. www.hsu-lab.com