@msirota84 is one of our 70+ affiliated faculty members who are passionate about mentoring and eager to support you at every stage of your academic journey! We are looking forward to seeing your applications to CPH's #PhD program. Contact us with any last minute questions!

The @StanfordCIGH features our CEO, Dr. Piya Sorcar, in a new interview on how compassion and humility can drive global change. She reflects on lessons from His Holiness the @DalaiLama during the TeachAids HIV/AIDS initiative. Full story + video in thread 🔗

Congrats to CPH's Adam Yala (@yalatweets) , collaborator @MaggieChungMD and team, honored with UCSF Carroll Innovation award for bold, disruptive research on vision/language models for improved diagnosis. Pioneering work and a great honor! @UCSFimaging

Remote monitoring of disease activity has the potential to improve research & clinical care in dermatology, but validated tools are lacking. @UCSF Center for Real World Evidence team worked on the de-id study data, the body/dermatology photos https://t.co/OtFGBHRUeI

RNA sequencing aids @HHU_de and @UCSF researchers in studying endometriosis, using anticlust to reduce technical bias and ensure accurate biological insights.

📢Interested in developing statistical, causally-grounded methods for monitoring the clinical impact of AI medical devices like AI scribes? Postdoc position available at https://t.co/PmYPj9unMa Perks include access to hot-off-the-press AI scribe data! Please help spread the word!

Big news: March of Dimes research has been selected for @NSF’s NAIRR Pilot! Our dataset from the University of California, San Francisco PRC is the only healthcare dataset chosen. We’re fueling AI innovation to help predict & prevent preterm birth. #AI https://t.co/qInNAVbnNt

This microbiome dataset ( https://t.co/LIkjBlnIZa) + other pregnancy-related omics datasets are available via our @MarchofDimes database for prematurity research ( https://t.co/IJeTxp5Thd) that I co-lead with founder Dr. Marina Sirota @msirota, developed by @PeratonCorp colleagues

Our dataset represents >3500 vaginal microbiome samples of ~1300 pregnant women across multiple studies, harmonized by Dr. Jonathan Golob @golob via #MaLiAmPi. More on the dataset and DREAM challenge in our publication, https://t.co/mKv1mkc24d

The @NSF just announced the #microbiome dataset from the @DR_E_A_M challenge (led by our @MarchofDimes prematurity research center at UCSF) as 1 of 10 datasets for the #NAIRR Pilot, selected through a competitive NSF-led process with an interagency group of 12 federal agencies!

We were honored to share our 10 yr anniversary “A Decade of Impact: Celebrating @atulbutte & BCHSI@10” w/ 200+ people. We heard from many of our closest faculty & community. Read our 10 Yr Report & Watch the symposium recording here! https://t.co/dCfYKz8XHa @UCSF @UCSFMedicine

It is with a mix of emotions that I finally announce this work, my very last w/ @atulbutte. Atul believed in the power of open data and our ability to learn from the data we already have to improve healthcare now. This work is a tribute to this belief, made possible by his career

Train UCSF-GPT at Cost of a Costco membership... Rohit Vashisht @UCSF_BCHSI

Today, tech & health communities remember life of @atulbutte & celebrate @UCSF_BCHSI 10 years. Colleagues revealed a single person & approach - optimism-generosity-expertise - can shape the future of an industry. His protege @msirota84 of his words to her: Take it, run with it!

Tremendous thanks to Martin Papenberg, Cheng Wang, Maïgane Diop, Syed Hassan Bukhari, Boris Oskotsky, Brittany Davidson, Kim Chi Vo, Binya Liu, Juan C. Irwin, Alexis J. Combes, Brice Gaudilliere, Jingjing Li, David K. Stevenson, Gunnar W. Klau, Linda C. Giudice, and Marina Sirota

Heinrich-Heine-Universität Düsseldorf's press release regarding this collaborative work, https://t.co/zKUMnnF8qd #anticlustering #mustlink #batcheffects #sampleallocation #highthroughputsequencing #sampleassignment #experimentaldesign #assigningbalancedgroups

This application was critical to the work of our UCSF-Stanford Endometriosis Center for Discovery, Innovation, Training, and Community Engagement (“ENACT”) Center, led by Drs. Linda Giudice, Marina Sirota, Brice Gaudilliere, and David Stevenson. https://t.co/F4V2erd0ZF

Anticlust enables balanced batch assignment in high-throughput studies, with must-link constraints to group related samples, overcoming key limitations of existing tools for real-world use. Our R package https://t.co/3UrfYtelci & interactive online tool

Our Anticlust article by Papenberg et al. is now published in Cell Reports Methods, https://t.co/O9McIt6aYy, and featured on their cover, https://t.co/HcirBDK1pc 🎉 @UCSF_BCHSI @HHU_de @UCJointCPH @StanfordMed

Please join us! @UCSF_BCHSI @UCSFPrecision