Li Shen
@lishenlc
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Professor of Informatics, Radiology and CIS, University of Pennsylvania
Philadelphia, PA
Joined August 2015
Recent report by the New York Times features our Year 4 awardee Foresite Healthcare https://t.co/GsOtmBsVPj
nytimes.com
Today’s anti-fall technology has come a long way from ‘I’ve fallen and I can’t get up!’ Here’s how it works.
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Wow! https://t.co/hVoHkIEFWR has reached over 1700 users in the first 30 days and almost 500 downloads 🚀🔥! What an impressive achievement by my team. So proud of my students! We will keep shipping the code, fixing the bugs, and improve user experiences. Check out the first
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We are excited to partner with @PennAging for the Sylvan M. Cohen Annual Retreat on November 21, 2025 with the theme "Aging Reimagined: Innovation in the Era of AI." We have an exciting line up of speakers including Amanda Lazar, Ab Brody, Aidong Zhang, Maria Valero, Zhi Huang,
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I’m honored and excited to serve as Interim Director of the Division of Informatics at @UPennDBEI. I look forward to working closely with our faculty and collaborators to advance our mission in informatics and biomedical and health data science.
Dr. Li Shen has assumed the role of Interim Director of the Division of Informatics. With deep expertise in data science, Dr. Shen is poised to advance the division’s mission. Read more:
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Big congratulations to Sophie Kearney, Shu Yang and co-authors for winning the SIGBio Best Paper Award at ACM BCB 2025!!! @UPennGCB @UPennDBEI @UPennIBI @PennAI2D @PennAging @pennaitech
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We are now accepting applications for Fall 2026 from October 1st through December 1st! More info about requirements and the application link can be found here:
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Thrilled to join this exciting project on scalable epidemiology with patient-reported outcomes! Looking forward to working with @gracielagon @CedarsSinai, collaborators, and the entire team to push this forward. @UPennDBEI @UPennIBI @PennAI2D @PennLDI
Our R01 is funded! AI for scalable epidemiology using patient-reported outcomes at @CedarsSinai, partnering with @lishenlc @PennMedicine. It builds on 13 years of work with @NIH_NLM, collaborators, and our amazing team! #NIH #R01 #Informatics #AI #Epidemiology #NLP
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If you missed our September webinar with Pamela Toto, PhD, OTR/L, BCG, FAOTA, FGSA presenting on "The Healthy Home Laboratory: Implementing Smart Ways to Age in Place" you can watch the YouTube recording here: https://t.co/091BSnch9o
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Learn more about the project by Min Ji Kwak on "Detection of Adverse Drug Events Using NLP Among Older Adults with Heart Failure", one of our Year 4 awardees, here: https://t.co/EJpRJ7FqWn
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Sincere thanks to the organizers for hosting us. We truly enjoyed the inspiring and well-run program at the Summer Innovation Institute.
Summer Innovation Institute Day 2: Dr. Li Shen @lishenlc and members of his lab, Drs Shu Yanh, Tianhua Zhai and Bojian Hou presented a great overview of ways to harness AI and LLMs for Alzheimer's and Aging Studies based on their own impressive research portfolio.
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ft. @Jx_Bao7, @ShizhuoM, @chenjiong111, @manu_shivakumar, Y. Cui, @erusguray, @ZhijianYang97, @ShuYangPenn, Z. Wen, @dokyoon_kim, @DuyDuongTran1, B. Zhao, @chrisdav66, @DrQiLong & @lishenlc @UPennDBEI @UPennIBI @PennAI2D @PennLDI @pennaitech @PennAging
https://t.co/VEsoIBA7oU
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Excited to share our new @NatureComms paper led by @Jx_Bao7 (@UPennGCB): “A genetically informed brain atlas for enhancing brain imaging genomics��’ Read it here: https://t.co/bkBkyZK3tr.
@DrQiLong @UPennDBEI @UPennIBI @PennAI2D @PennLDI @pennaitech @PennAging
nature.com
Nature Communications - GIANT, a genetically informed brain atlas, integrates genetic heritability with neuroanatomy. It shows strong neuroanatomical validity and surpasses traditional atlases in...
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Congratulations to Joseph (@PennEngineers), Shu (@UPennDBEI), Tianqi (@UPennGCB), Weiqing (@PennSAS) and all the co-authors for winning two Distinguished Paper Awards at #IS25 @AMIAinformatics! @UPennIBI @PennAI2D @PennLDI @PennAging
https://t.co/V5kakn99xB
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Join us for our April 10 webinar when Dr. Philip Payne @prpayne5 from @washumedicine presents "Artificial Intelligence and the Learning Health System: Digitally Transforming Research, Learning and Practice." To register click here: https://t.co/lpiewsCpVJ
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ft. @chenjiong111, M. Ionita, Y. Feng, Y. Lu, P. Orzechowski, S. Garai, K. Hassinger, @Jx_Bao7, @DuyDuongTran1, J. Wagenaar, M. McKeague, @markmpainter, @divijmathew, @Ajinkya21987, @nualameyer, @EJohnWherry, @Bad2theBeaker & @lishenlc
https://t.co/B1GEpG86OM
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Very happy to share that @chenjiong111 recently published paper titled "Automated cytometric gating with human-level performance using bivariate segmentation" in Nature Comms was selected as "Editors' Highlights" https://t.co/YgebRHSb3J
nature.com
As we navigate the era of big data in biological research, advanced computational techniques, such as mathematical models and machine learning algorithms, are ...
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🚀 The Journal Club is back! Join us for our first session of the year! ✨ Led by Dr. Mengjiin Dong (UTSA) 📄 Deep Learning for Detecting Progressive Changes in Alzheimer’s Disease 👉 https://t.co/OhWW00r9Pq 📅 March 8, 2025 | ⏰ 16:00 UTC Don’t miss it! @MICCAI_Society
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Excited to share Zexuan Wang’s new @BriefingBioinfo paper: “QOT: Quantized Optimal Transport for sample-level distance matrix in single-cell omics‘’ Read it here: https://t.co/8LrA2zOkc5.
@UPennDBEI @UPennIBI @PennAI2D
academic.oup.com
Abstract. Single-cell technologies have enabled the high-dimensional characterization of cell populations at an unprecedented scale. The innate complexity
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Excited to share @chenjiong111’s new @NatureComms paper: "Automated cytometric gating with human level performance using bivariate segmentation". Read it here: https://t.co/E5ci8J2vHw.
@EJohnWherry @Bad2theBeaker @UPenn_I3H @UPennDBEI @UPennIBI @PennAI2D @PennLDI
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