
Eran Halperin
@halperineran
ID: 3187856878
http://eranhalperingenomics.com 20-04-2015 17:57:45
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A fascinating story! really nice work from Liat Shenhav and David Zeevi Congrats!

This Wednesday, March 3rd from 10:00 AM until 11:00 AM pacific. Invited Speakers: Professors Sohini Ramachandran Sohini Ramachandran and Siavash Mirarab. ucla.in/3q9DTam To request the Zoom link, please email: [email protected] Eran Halperin Eleazar Eskin - UCLA Computational Medicine

I am excited to share our deep learning approach Sliver-Net npj Journals Digital Medicine - used for automatic detection of age-related macular degeneration (AMD) biomarkers using OCT scans. go.nature.com/3qyXMI6 with Doheny Eye Institute Nadav Rakocz Jeff Chiang Vas Sadda


I am so excited to announce CAPE: Center for Admixed Populations and Health Equity UCLA_Computational Medicine UCLA Health David Geffen School of Medicine at UCLA UCLA as part of of the NIH National Human Genome Research Institute PRS diversity! CAPE is co-led by the amazing Leslie Lange CU Anschutz Medical Campus and Eimear Kenny at Icahn School of Medicine at Mount Sinai! 1/


$13 million NIH contract will help UCLA expand COVID-19 testing compmed.ucla.edu/news/purchasin… UCLA_Computational Medicine results demonstrate the potential for SwabSeq to be used for COVID-19 and emerging viruses on an unprecedented scale Valerie Arboleda MD, PhD 🤷🏻♀️ Eleazar Eskin - UCLA Computational Medicine



Very proud of Brian! In our journey together, Brian made major contributions in ML applications to anesthesiology, ophthalmology, covid-19, and genomics, and most importantly, always with a positive attitude. It was an absolute pleasure. UCLA_Computational Medicine UCLA Anesthesiology UCLA Samueli Engineering


Heading to ICML Conference next week! If you’re interested in ML x healthcare and/or want to chat about the research we’re doing at Optum Labs, please come find me or shoot me a message! #ICML2022 #OptumLabs

Our paper is finally out in npj Journals Genomic Medicine! If you're interested in how methylation risk scores (MRS) can be used to impute clinical information found in electronic health records, have a look! UCLA_Computational Medicine UCLA Health 1/n nature.com/articles/s4152…







An #AI model assessing CT, MRI, retinal OCT, cardiac echo volumetric images "as accurate as clinical specialists who had spent considerable time [almost four orders of magnitude faster] manually annotating the analysed scans" nature.com/articles/s4155… @NatBME Oren Avram