🎓 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!

@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.

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” |

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...

🗣️ 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...

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...

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!

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!

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