The Department of Computational Medicine plays a critical role in strengthening collaboration between engineering and medicine at UCLA.

Joined April 2019
New AI breakthrough from @CompMedUCLA @UCLACGSI researchers! A new deep learning model automates the detection of age-related macular degeneration (AMD) atrophy from 3D eye scans. @orenavram @YahelShwartz @ChowersItay compmed.ucla.edu/news/305 @Hadassah_Med @DohenyEye
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UCLA_Computational Medicine retweeted
Meet OSF — a fully open benchmark and state-of-the-art family of sleep foundation models. 🌙 We study pre-training and scaling recipes that actually improve generalization in real-world settings. 🏥 🌐 Website: yang-ai-lab.github.io/osf/ 💻 Code: github.com/yang-ai-lab/OSF-O… 🤗 Models: hf.co/yang-ai-lab/OSF-Base 🧵👇
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UCLA_Computational Medicine retweeted
Together with @CompMedUCLA, we're furthering development of the SwabSeq Metagenomic Diagnostic Platform, designed to detect viral pathogens. It could serve as a rapid response tool to detect a novel respiratory virus in a #HealthSecurity emergency: medicalcountermeasures.gov/b…
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UCLA_Computational Medicine retweeted
📢 My lab at UCLA is hiring PhD students and postdocs! Please apply to @CS_UCLA or @CompMedUCLA if you are interested in foundation models and (Gen)AI for health / medicine / science. More info: cs.ucla.edu/~yuzhe. Please retweet!
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UCLA_Computational Medicine retweeted
Congrats to @UCLA Prof. Sriram Sankararaman @UCLAComSci @CompMedUCLA @dgsomucla & Assist. Prof. Tyler Clites @UCLAMechAeroEng @BioEngUCLA, the Eon Instrumentation Inc. & Northrop Grumman @northropgrumman Excellence in Teaching Awards respective awardees. samueli.ucla.edu/ucla-samuel…
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CGSI Summer Program Talks Are Live: Relive the Science, Collaboration, and Community! compmed.ucla.edu/news/276 @CompMedUCLA @UCLAHealth
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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/s41588-0…
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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.jstrokecer…
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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.jstrokecer…
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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!
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You missed CGSI 2024? Check the scientific talks in our database! 🎦 compmed.ucla.edu/news/227
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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 imaging more accessible 4️⃣ Can handle large data and adapt to new imaging techniques 5️⃣ Useful in areas lacking medical imaging experts. 6️⃣ Trained on 2D data, fine-tuned for accurate 3D analysis 7️⃣ Applies knowledge from one scan type to another. SLIViT could revolutionize fast, affordable medical diagnoses
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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
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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… The model was pre-trained on publicly available, relatively inexpensive 2D imagery, and fine-tuned on a relatively small amounts of #3D medical imagery, meaning it can potentially be an affordable and scalable model with widespread impact for different communities around the world. The researchers found the model can do transfer learning across different types of organs and image modalities. A retinal scan—or OCT— of an eye can improve the model’s ability to identify disease biomarkers in MRIs of livers, or other types of organs. This #AI-powered model can potentially democratize expert level analysis of 3D medical images. @CompMedUCLA @UCLAengineering
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UCLA_Computational Medicine retweeted
Oren Avram@orenavram18 Oct 2024
✨ NVIDIA ✨ has featured #SLIViT today in their blog post! 🤯🤯🤯 developer.nvidia.com/blog/ai…
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UCLA_Computational Medicine retweeted
Interested in math and computational biology? The @CompMedUCLA PhD program is having our info session On Wed 16th at 3-4P PST. Come learn about our program and hear from some of our faculty. RSVP: forms.gle/qozQj6aEmc4PPnVWA
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UCLA_Computational Medicine retweeted
UCLA researchers have developed SLIViT, an AI that reads 3D medical scans as well as specialists—but in a fraction of the time. What’s next for AI in diagnostics? Read more.... 🔗 labhorizons.co.uk/2024/10/ne… #News #Research #Science #Lab #Laboratory #Innovation
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