UCLA MII

A UCLA interdisciplinary group focused on biomedical informatics and data science, committed to solving critical problems in biomedical research and healthcare.

[William Hsu @uclawillhsu]

The @uclamii training program funded by @NIBIBgov T32 is preparing the next generation of engineers to harness the power of imaging with clinical data to evolve our understanding of disease and tailor patient care. Learn more at #BMES2024 Thu Oct 24, 3:45pm in Rm 345

[UCLA MII @uclamii]

Medical Informatics Home Area is sponsoring a talk titled “Finding Consensus In A Sea of Standards” by @monimunozto Nov 6th at 12pm, Boyer 159

[Ashley Prosper, MD @AshleyEProsper]

Finishing up strong at the @RadiologyACR #ACRQSI2023 conference with @uclawillhsu @RadiologyUcla moderating a session on #AI monitoring and deployment

[Rina (Ruiwen) Ding @Rina_Ding]

In our newly published work, we demonstrated the benefit of tailoring self-supervised learning to the downstream task of lung adenocarcinoma histologic subtype classification.
https://t.co/mtHiWVGTUd
@uclamii @uclawillhsu
#digitalpathology #lungcancer #machinelearning

[UCLA MII @uclamii]

Virtual presentation AIM AHEAD – Artificial Intelligence Technology and Addressing Chronic Kidney Disease on Thursday, July 20th at 9:00 AM (PT). @UCLACERP

[William Hsu @uclawillhsu]

No better way to end the academic year with the pomp of graduation. Congrats @UCLAengineering @BioEngUCLA @uclamii #PhD and #MS grads!

[William Hsu @uclawillhsu]

🗣️ PhD candidate Yannan Lin @uclamii @BioEngUCLA was interviewed by @RSNA re: #lungcancer screening adherence and the importance of identifying and overcoming barriers to adherence at the patient, physician, and system levels. @dgsomucla @uclajccc https://t.co/kVliqhKbaz

[UCLA Radiology @RadiologyUcla]

Researchers from @RadiologyUCLA, @dgsomucla, @CS_UCLA & @uclamii & trained & validated a regression convolutional network that would identify #mammograms that constitute microcalcification. https://t.co/Lr5UfiXUvW

[UCLA MII @uclamii]

We present arguments for a cognitive-inspired framework for medical natural language understanding. Includes the need for symbol grounding, semantic activation, semantic composition, and hierarchical predictive coding. Read more: https://t.co/ZvdO5IT9YZ

[UCLA Radiology @RadiologyUcla]

New publication in the Journal of #DigitalImaging by researchers from @RadiologyUCLA, @dgsomucla, @CS_UCLA & @uclamii: "Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach." @justAnneMD @uclawillhsu https://t.co/Lr5UfiXmGo

[UCLA MII @uclamii]

"Finalists Named for the 2022 Hearst Health Prize in Partnership with the UCLA Center for SMART Health" Read more: https://t.co/Ll9vEBsUXQ

[UCLA MII @uclamii]

Happy to share #UCLAMII @Tianran_Zhang & Professor Alex Bui collaboration with @muhao_chen at USC recent published paper in JBI titled "AdaDiag: Adversarial Domain Adaptation of Diagnostic Prediction with Clinical Event Sequences" Check it out! https://t.co/9DLvjQlvEw

[UCLA MII @uclamii]

"UCLA takes leading role in NIH Bridge2AI initiative to generate ‘computable knowledge’ that propels biomedical research forward" #UCLAMII Read more: https://t.co/2rXalt1xD3

[UCLA MII @uclamii]

NIH launches Bridge2AI program to expand the use of artificial intelligence in biomedical and behavioral research https://t.co/QF34S30oqR

[Ashley Prosper, MD @AshleyEProsper]

Hot off the press! @RadiologyUcla

[Hearst Health @HearstHealth]

Officially open! Calling organizations with AI, ML or other data science initiatives: Submit your entry by June 30 for a chance to win $100,000. The Hearst Health Prize is a partnership between the @UCLAHealth Center for SMART Health and @HearstHealth
https://t.co/Z3CZHl5bwS

[UCLA-Caltech MSTP @uclacaltechmstp]

Joe Friedman (@JosephRFriedman) will be defending his doctoral thesis entitled "Integrating Data Science and Ethnography for Critically-Applied, Rapid Surveillance of Emerging Health Inequalities" on May 25. Best of luck Joe!!! @UCLASocialMed @uclamii

[William Hsu @uclawillhsu]

📢 MD or PhD trainees: Being part of a journal editorial process can rewarding, enriching, and a networking opportunity. Apply to become part of the @Radiology_AI Trainee Editorial Board (TEB). https://t.co/jOljxa40mf Feel free to DM me if you have questions. ⏲️ May 2.

[Rima Habre, ScD @RimaHabre_ScD]

Luz, thank you so much for your thoughtful questions and for being there! Sorry we ran out of time but more than happy to chat anytime.. appreciate this! And yes I'm always learning by doing and fascinated at the potential AND the complexity.. @uscpphs @uclamii

[Ashley Prosper, MD @AshleyEProsper]

Honored to have the opportunity to give Grand Rounds where it all began, at @RadiologyUSC. Great to see familiar faces and new ones!