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X-ORIGINAL-URL:https://www.med.unc.edu/compmed
X-WR-CALDESC:Events for Computational Medicine
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210318T140000
DTEND;TZID=America/New_York:20210318T150000
DTSTAMP:20260526T000555
CREATED:20201110T190421Z
LAST-MODIFIED:20210422T143646Z
UID:10000208-1616076000-1616079600@www.med.unc.edu
SUMMARY:Computational Medicine Seminar
DESCRIPTION:David Van Valen\, PhD \nAssistant Professor\, Division of Biology and Biological Engineering \nCalifornia Institute of Technology \nTalk Title:  “Single-cell biology in a software 2.0 world” \n  \nAbstract: \nMultiplexed imaging methods can measure the expression of dozens of proteins while preserving spatial information. While these methods open an exciting new window into the biology of human tissues\, interpreting the images they generate with single cell resolution remains a significant challenge. Current approaches to this problem in tissues rely on identifying cell nuclei\, which results in inaccurate estimates of cellular phenotype and morphology. In this work\, we overcome this limitation by combining multiplexed imaging’s ability to image nuclear and membrane markers with large-scale data annotation and deep learning. We describe the construction of TissueNet\, an image dataset containing more than one million paired whole-cell and nuclear annotations across eight tissue types and five imaging platforms. We also present Mesmer\, a single model trained on this dataset that can perform nuclear and whole cell segmentation with human-level accuracy – as judged by expert human annotators and a panel of pathologists – across tissue types and imaging platforms. We show that Mesmer accurately measures cell morphology in tissues\, opening up a new observable for quantifying cellular phenotypes in vivo. We make this model available to users of all backgrounds with both cloud-native software and on-premise software. Last\, we also describe ongoing work to develop a similar resource and models for dynamic live-cell imaging data.
URL:https://www.med.unc.edu/compmed/event/computational-medicine-seminar-11/
LOCATION:NC
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2020/11/David-Van-Valen.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210218T140000
DTEND;TZID=America/New_York:20210218T150000
DTSTAMP:20260526T000555
CREATED:20201110T190319Z
LAST-MODIFIED:20210205T161324Z
UID:10000277-1613656800-1613660400@www.med.unc.edu
SUMMARY:Computational Medicine Seminar
DESCRIPTION:Presenter: Kevin Janes\, PhD \nTalk Title: “Complete kinetic modeling of an RNA pathogen” \nComplete kinetic models are pervasive in chemistry but lacking in biological systems. We encoded the complete kinetics of infection for coxsackievirus B3 (CVB3)\, a compact and fast-acting RNA virus. The kinetics are built from detailed modules for viral binding–delivery\, translation–replication\, and encapsidation. Specific module activities are dampened by the type I interferon response to viral double-stranded RNAs (dsRNAs)\, which is itself disrupted by viral proteinases. The validated kinetics uncovered that cleavability of the dsRNA transducer mitochondrial antiviral signaling protein (MAVS) becomes a stronger determinant of viral outcomes when cells receive supplemental interferon after infection. Cleavability is naturally altered in humans by a common MAVS polymorphism\, which removes a proteinase-targeted site but paradoxically elevates CVB3 infectivity. These observations are reconciled with a simple nonlinear model of MAVS regulation. Modeling complete kinetics is an attainable goal for small\, rapidly infecting viruses and perhaps viral pathogens more broadly. \n\nJanes\, Kevin A.
URL:https://www.med.unc.edu/compmed/event/computational-medicine-seminar-10/
LOCATION:NC
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2020/11/KevinJanes_headshot.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191122T100000
DTEND;TZID=America/New_York:20191122T110000
DTSTAMP:20260526T000555
CREATED:20190603T204109Z
LAST-MODIFIED:20191119T180659Z
UID:10000204-1574416800-1574420400@www.med.unc.edu
SUMMARY:COMP MED Research In Progress Meeting
DESCRIPTION:Presenter: Alexander Tropsha \nTitle:“Testable predictions of chemical bioactivity and toxicity with machine learning approaches” \n \n 
URL:https://www.med.unc.edu/compmed/event/comp-med-research-in-progress-meeting-14/
LOCATION:Mary Ellen Jones 3112\, 116 Manning Drive\, Chapel Hill\, NC\, 27514
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190509T140000
DTEND;TZID=America/New_York:20190509T150000
DTSTAMP:20260526T000555
CREATED:20180921T201414Z
LAST-MODIFIED:20190315T195128Z
UID:10000179-1557410400-1557414000@www.med.unc.edu
SUMMARY:Regina Barzilay\, PhD: Computational Medicine Inaugural Seminar
DESCRIPTION:Regina Barzilay is a Delta Electronics professor in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. Her research interests are in natural language processing\, applications of deep learning to chemistry and oncology. She is a recipient of various awards including the NSF Career Award\, the MIT Technology Review TR-35 Award\, Microsoft Faculty Fellowship and several Best Paper Awards at NAACL and ACL. In 2017\, she received a MacArthur fellowship\, an ACL fellowship and an AAAI fellowship. She received her Ph.D. in Computer Science from Columbia University\, and spent a year as a postdoc at Cornell University.
URL:https://www.med.unc.edu/compmed/event/regina-barzilay-phd-computational-medicine-inaugural-seminar/
LOCATION:Bioinformatics Building\, Room 1131\, 130 Mason Farm Rd\, Chapel Hill\, NC\, 27514\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2018/09/Regina-Barzilay.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190227T140000
DTEND;TZID=America/New_York:20190227T150000
DTSTAMP:20260526T000555
CREATED:20190130T160340Z
LAST-MODIFIED:20190213T141906Z
UID:10000197-1551276000-1551279600@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, Adam Palmer\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, Adam Palmer\, PhD from Harvard Medical School \nTalk Title “TBA”
URL:https://www.med.unc.edu/compmed/event/computational-medicine-faculty-candidate-adam-palmer-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/Adam-Palmer-portrait.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190225T160000
DTEND;TZID=America/New_York:20190225T170000
DTSTAMP:20260526T000555
CREATED:20190130T160023Z
LAST-MODIFIED:20190213T142215Z
UID:10000196-1551110400-1551114000@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, Jason Yang\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, Jason Yang\, PhD from MIT/ Broad Institute \nTalk Title “A White-Box Machine Learning Approach for Revealing Molecular Mechanisms”
URL:https://www.med.unc.edu/compmed/event/computational-medicine-faculty-candidate-jason-yang-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/png:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/Yang-Headshot.png
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190219T120000
DTEND;TZID=America/New_York:20190219T130000
DTSTAMP:20260526T000555
CREATED:20190130T155536Z
LAST-MODIFIED:20190213T141705Z
UID:10000195-1550577600-1550581200@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, Donna Werling\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, Donna Werling\, PhD from the University of California\, San Francisco \nTalk Title “Genomic investigation of genetic variation and sex-differential biology in brain development and autism”
URL:https://www.med.unc.edu/compmed/event/computational-medicine-faculty-candidate-donna-werling-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/Donna-Werling-Profile-Pic-scaled.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190215T150000
DTEND;TZID=America/New_York:20190215T160000
DTSTAMP:20260526T000555
CREATED:20190130T154625Z
LAST-MODIFIED:20190213T135053Z
UID:10000194-1550242800-1550246400@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, Wanding Zhou\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, Wanding Zhou\, PhD from Van Andel Research Institute \nTalk Title “What do we lose from Getting Old? — Towards a Better Understanding of DNA Methylation in Normal and Cancer Cells” \n 
URL:https://www.med.unc.edu/compmed/event/computational-medicine-faculty-candidate-wanding-zhou-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/wanding-Zhou-Profile-Picture.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190206T133000
DTEND;TZID=America/New_York:20190206T143000
DTSTAMP:20260526T000555
CREATED:20190130T153436Z
LAST-MODIFIED:20190130T154639Z
UID:10000193-1549459800-1549463400@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, John Platig\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, John Platig\, PhD \nTalk Title “Tackling multi-omic data sets with network methods” \n 
URL:https://www.med.unc.edu/compmed/event/computational-medicine-faculty-candidate-presentation-john-platig-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/John-Platig.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190201T110000
DTEND;TZID=America/New_York:20190201T120000
DTSTAMP:20260526T000555
CREATED:20190130T152624Z
LAST-MODIFIED:20190130T154711Z
UID:10000192-1549018800-1549022400@www.med.unc.edu
SUMMARY:Computational Medicine Faculty Candidate\, Qingqing Wang\, PhD
DESCRIPTION:UNC Computational Medicine Program Presenting Faculty Candidate Speaker\, Qingqing Wang\, PhD \nTalk Title “Decoding the roles of RNA splicing in specifying complex cellular behavior and identity” \n 
URL:https://www.med.unc.edu/compmed/event/faculty-candidate-presentation-qingqing-wang-phd/
LOCATION:Lineberger Pagano Conference Room\, 450 West Drive\, Chapel Hill\, 27599\, United States
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/Qingqing-Wang-profile-scaled.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
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