Thank you Dr. Enzmann for your steady leadership and unwavering support of the #HsuLab and Integrated Diagnostics (IDx) Shared Resource program. Your vision of integrating rad-path images along with clinical data and biospecimens laid the foundation for AI/ML and cancer biomarker studies for years to come 🙏👏

Congratulations dinodicarlo and thank you Song for supporting the biomedical data science track and fostering closer connections between UCLA Bioengineering and David Geffen School of Medicine at UCLA

Excited to organize @PacSymBio Big Data Imaging Genomics Session with Peter Kochunov, Paul Thompson and Zhongming Zhao, PhD. Manuscript due on 1 August 2024. Join us in Big Island in January for a deep dive into the latest in data science for biomedicine! psb.stanford.edu/callfor/papers…

Many thanks to Radiology: Artificial Intelligence's authors, reviewers, and editorial team!

Beautiful campus ✅ lots of coffee ✅ interesting talks ✅ tackling hard problems ✅ getting it done ✅ great summary of #PhDlife UCLA

"Finding oneself and one’s path is like waking up on a foggy day. Be patient, and presently the fog will clear and that which has always been there can be seen. The path is already there to follow." - Rasheed Ogunlaru

Kid and toddler swings 👍 tire swing 👍 fort 👍👍 monkey bars 👍 rings 👍 slides 👍 tunnels 👍 bridges👍 wheelchair accessible ⭐⭐⭐⭐⭐ #BeachfrontPark #playgroundreviews

Update: My talk proposal for RSNA got selected as a finalist. Anyone can vote daily until July 22nd! My talk is about how we can use medical imaging done for one purpose to screen for other diseases Title: “An Opportunity for Opportunistic Screening” rsna.az1.qualtrics.com/jfe/form/SV_db…

Fantastic having Charles Kahn, MD visit David Geffen School of Medicine at UCLA UCLA Radiology and speaking about the Radiology: Artificial Intelligence editorial process and characteristics of solid medical #AI science

Not quite past 10am and I've already gotten all of my steps in for the day. Thanks Yannan Lin for organizing and for getting us to work on our endurance ⛰️ 🥾☀️ #HsuLab #labhike

Understatement of the year...

The point of our simulation analysis done by the amazing Yannan Lin is to anticipate these unintended consequences of AI and same day workup and mitigate them. Let's not undervalue the effect of reduced patient anxiety and turnaround time for diagnosis!

Fantastic first scientific oral presentation by Stephen and poster by Luoting Zhuang. 🙌 #HsuLab #BruinProud

Always grateful for the opportunities to reconnect and learn from ⭐🥇 colleagues! What a fantastic meeting focused on using #AI to advance early cancer detection research hosted by Caltech NASA JPL #HsuLab #EDRN

Super proud of the work that our BIG Summer student Leonard did with Luoting Zhuang this summer looking at the value of combining an imaging-based lung cancer model with clinical factors to improve risk prediction. 🙌👏 #HsuLab

These figures shared by Steve Dubinett at UCLA provide a reminder that there is more than one way to think about how lung cancers develop. This is why early detection biomarkers should ideally include evaluations of individual immunosurveillance properties in addition to

Had an inspiring time at the NCNW community event last Saturday, raising awareness about the importance of #LungCancerScreening. Grateful to be part of this meaningful initiative and to connect with others committed to improving health outcomes. #LungCancerAwareness #NCNW

#TBT to discussing our AI-driven simulation work for same-day diagnostics after screening mammography with William Hsu and Anne Hoyt at AMIA #IS24 last March. I’ll be speaking at #AMIA2024 to share the follow-up on this work. Looking forward to connecting!

Had an enlightening stay at #WCLC2024, learning from researchers (e.g., old colleagues and current collaborators), patient advocates, cancer survivors, and many others dedicated to the mission of eliminating #LungCancer. #IASLC #SanDiego

UCLA Bioengineering UCLA Bioengineering is recruiting 3-4 faculty members at Assistant Professor level this year recruit.apo.ucla.edu/JPF09613