BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Computational Medicine - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.med.unc.edu/compmed
X-WR-CALDESC:Events for Computational Medicine
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210305T100000
DTEND;TZID=America/New_York:20210305T110000
DTSTAMP:20260419T062252
CREATED:20201110T193052Z
LAST-MODIFIED:20210422T142023Z
UID:10000225-1614938400-1614942000@www.med.unc.edu
SUMMARY:Comp Med Research in Progress
DESCRIPTION:Presenter: Mauro Calabrese lab \nTalk Title: “k-mer-based approaches to identify regulatory function in long noncoding RNAs”
URL:https://www.med.unc.edu/compmed/event/comp-med-research-in-progress-29/
LOCATION:NC
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2018/09/Mauro-Calabrese.jpeg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210312T100000
DTEND;TZID=America/New_York:20210312T110000
DTSTAMP:20260419T062252
CREATED:20201110T193157Z
LAST-MODIFIED:20210422T142254Z
UID:10000227-1615543200-1615546800@www.med.unc.edu
SUMMARY:Comp Med Research in Progress
DESCRIPTION:Presenter: Jia (Elaine) Wen / Yun Li Lab \nTalk Title: “DeepGWAS to Enhance GWAS Signals for Neuropsychiatric Disorders via Deep Neural Network”
URL:https://www.med.unc.edu/compmed/event/comp-med-research-in-progress-30/
LOCATION:NC
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2020/11/Jia-Wen.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210318T140000
DTEND;TZID=America/New_York:20210318T150000
DTSTAMP:20260419T062252
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:20210319T100000
DTEND;TZID=America/New_York:20210319T110000
DTSTAMP:20260419T062252
CREATED:20201110T193252Z
LAST-MODIFIED:20210422T142452Z
UID:10000278-1616148000-1616151600@www.med.unc.edu
SUMMARY:Comp Med Research in Progress
DESCRIPTION:Presenter: Yanguang (Carter) Cao Lab \nTalk Title: “modeling CAR-T cells kinetics in humans”
URL:https://www.med.unc.edu/compmed/event/comp-med-research-in-progress-31/
LOCATION:NC
ATTACH;FMTTYPE=image/jpeg:https://www.med.unc.edu/compmed/wp-content/uploads/sites/852/2019/01/Yanguang-Cao.jpg
ORGANIZER;CN="Victoria Doyle":MAILTO:vdoyle@email.unc.edu
END:VEVENT
END:VCALENDAR