UCLA_Computational Medicine @CompMedUCLA
The Department of Computational Medicine plays a critical role in strengthening collaboration between engineering and medicine at UCLA. Joined April 2019-
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We're excited to welcome three outstanding new faculty members Dr. Margaux Hujoel, Dr. Hosein Mohimani, and Dr. Yuzhe Yang. We're expanding our strengths in statistical genetics, small molecule discovery, and AI for health. @UCLAHealth compmed.ucla.edu/news/275
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New @NatureGenet paper on how genetic variants in the identified regulatory regions shape predisposition to obesity. @Johnsonzchen @NameIsSankha with Prof. Paivi Pajukanta @UCLAHealth @CompMedUCLA
UCLA_Computational Medicine retweeted
Glad to share our latest research on mapping the epigenomic landscape of subcutaneous adipose tissue is now published in @NatureGenet. We demonstrate how genetic variants in the identified regulatory regions shape predisposition to obesity and more: nature.com/articles/s4158…
AI model converts hospital records into text for better emergency care decisions compmed.ucla.edu/news/263 Simon A. Lee, Jeffrey N. Chiang @CompMedUCLA @NatureMedicine @UCLAHealth
🚨 UCLA DGSOM Open rank, tenure-track/tenured faculty positions recruit.apo.ucla.edu/JPF10062 #UCLA Faculty Position in Computational Medicine, Biochemistry, Genetics, Pharmacology, Neurobiology, Physiology, Microbiology, Immunology. Apply by Jan 19th.
UCLA_Computational Medicine retweeted
New research from @RadiologyUcla, @UCLANeurology, @CompMedUCLA & @UCLAStroke highlights the role of CT-detected artery calcifications in ischemic stroke outcomes. Read about the findings in @JSCVD2: doi.org/10.1016/j.jstr…
UCLA_Computational Medicine retweeted
Researchers from @RadiologyUcla, @UCLANeurology, @CompMedUCLA & @UCLAStroke share stroke insights in @JSCVD2. They uncover a U-shaped link between intracranial artery calcification levels & reperfusion success in thrombectomy for ischemic stroke patients. doi.org/10.1016/j.jstr…
🚨 UCLA Computational Medicine is recruiting new faculty members! We also have several other faculty openings across UCLA that may interest you. Faculty searches are independent, so you can apply to multiple roles. #UCLA #FacultySearch compmed.ucla.edu/news/UCLAOpenP…
UCLA_Computational Medicine retweeted
📢 I’m recruiting PhD students for Fall 2025 at UCLA! Please apply to @CS_UCLA or @CompMedUCLA if you are interested in ML and (Gen)AI for healthcare / medicine / science. See my website for more on my research & how to apply: people.csail.mit.edu/yuzhe Please retweet!
UCLA_Computational Medicine retweeted
Congrats to the 9 @UCLA Samueli @UofCalifornia faculty members from @BioEngUCLA @UCLACBE @ECE_UCLA @UCLAMSE @CompMedUCLA named to @Clarivate's list of 2024 Highly Cited Researchers! #engineerchange samueli.ucla.edu/9-ucla-enginee…
UCLA_Computational Medicine retweeted
You missed CGSI 2024? Check the scientific talks in our database! 🎦 compmed.ucla.edu/news/227
UCLA_Computational Medicine retweeted
UCLA just unveiled SLIViT, an AI model that analyzes 3D medical images faster and cheaper than human experts. Key points: 1️⃣ Analyzes MRIs, CTs, and more in a fraction of the time. 2️⃣ Detects disease markers across multiple scan types 3️⃣ Outperforms other models, making…
@CompMedUCLA postdoc Richard Border is moving to Carnegie Mellon in Spring 2025 his own lab as an assistant professor in the CMU Department of Computational Biology. @CMUCompBio @SCSatCMU borderlab.org
New research from Richard Border and Noah Zaitlen showing that non-random mating + cultural transmission can lead to spurious heritability / GWAS signal, even for traits without any genetic basis. As discovery sample size increases, we expect more off-target GWAS hits.
UCLA_Computational Medicine retweeted
Researchers at UCLA have developed SLIViT, an AI system that can analyze complex medical images like MRI and 3D scans with unprecedented precision levels. But what does this mean for patients? #SLIViT #MedicalImaging #AI eu1.hubs.ly/H0d5l6n0
UCLA_Computational Medicine retweeted
Researchers @halperineran and @orenavram at #UCLA have developed a new, #AI-powered foundation model that can accurately analyze #3D medical imagery, like MRIs and CT scans, in a fraction of the time it would otherwise take a human expert. ➡️ developer.nvidia.com/blog/ai-medica… The model…
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