BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Science in Boston - ECPv6.18.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Science in Boston
X-ORIGINAL-URL:https://scienceinboston.com
X-WR-CALDESC:Events for Science in Boston
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Toronto
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/Toronto:20210603T120000
DTEND;TZID=America/Toronto:20210603T130000
DTSTAMP:20210531T161659Z
CREATED:20210531T161659Z
LAST-MODIFIED:20210531T161659Z
UID:14703-1622721600-1622725200@scienceinboston.com
SUMMARY:AI and the Future of Breast Cancer Detection and Risk Prediction
DESCRIPTION:Artificial intelligence (AI) holds great potential to impact the diagnosis and risk stratification of breast cancer. Current breast cancer risk models are limited in their design and accuracy. In this webinar\, Dr. Constance Lehman\, Professor of Radiology at Harvard Medical School and head of Breast Imaging at Massachusetts General Hospital will explore progress in applying AI to improve prediction of future risk of breast cancer based on mammography alone\, including validation trials in multi-ethnic populations. These advances will be discussed in the context of the broader goal to deliver more precise\, more personalized breast cancer detection\, diagnosis and treatment.
URL:https://scienceinboston.com/event/ai-and-the-future-of-breast-cancer-detection-and-risk-prediction/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210603T120000
DTEND;TZID=America/Toronto:20210603T130000
DTSTAMP:20210531T161659Z
CREATED:20210531T161659Z
LAST-MODIFIED:20210531T161659Z
UID:27711-1622721600-1622725200@scienceinboston.com
SUMMARY:AI and the Future of Breast Cancer Detection and Risk Prediction
DESCRIPTION:Artificial intelligence (AI) holds great potential to impact the diagnosis and risk stratification of breast cancer. Current breast cancer risk models are limited in their design and accuracy. In this webinar\, Dr. Constance Lehman\, Professor of Radiology at Harvard Medical School and head of Breast Imaging at Massachusetts General Hospital will explore progress in applying AI to improve prediction of future risk of breast cancer based on mammography alone\, including validation trials in multi-ethnic populations. These advances will be discussed in the context of the broader goal to deliver more precise\, more personalized breast cancer detection\, diagnosis and treatment.
URL:https://scienceinboston.com/event/ai-and-the-future-of-breast-cancer-detection-and-risk-prediction-2/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210603T133000
DTEND;TZID=America/Toronto:20210603T143000
DTSTAMP:20210531T163922Z
CREATED:20210531T163922Z
LAST-MODIFIED:20210531T163922Z
UID:14716-1622727000-1622730600@scienceinboston.com
SUMMARY:Defining the Role of Wound-Induced Senescence in Wound Healing
DESCRIPTION:Danny Roh\, MD\, PhD\, Laszlo N. Tauber Assistant Professor of Surgery \nDivision of Plastic & Reconstructive Surgery\, BUSM \nJoin this Department of Dermatology Research Seminar via Zoom \nZoom Meeting ID: 986 6644 3963  Passcode: 106597 \nhttps://bostonu.zoom.us/j/98666443963?pwd=K0FoTVVXYVpQeGNONHNQRHppRlVudz09
URL:https://scienceinboston.com/event/defining-the-role-of-wound-induced-senescence-in-wound-healing/
LOCATION:Online
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Toronto:20210603T133000
DTEND;TZID=America/Toronto:20210603T143000
DTSTAMP:20210531T163922Z
CREATED:20210531T163922Z
LAST-MODIFIED:20210531T163922Z
UID:27715-1622727000-1622730600@scienceinboston.com
SUMMARY:Defining the Role of Wound-Induced Senescence in Wound Healing
DESCRIPTION:Danny Roh\, MD\, PhD\, Laszlo N. Tauber Assistant Professor of Surgery \nDivision of Plastic & Reconstructive Surgery\, BUSM \nJoin this Department of Dermatology Research Seminar via Zoom \nZoom Meeting ID: 986 6644 3963  Passcode: 106597 \nhttps://bostonu.zoom.us/j/98666443963?pwd=K0FoTVVXYVpQeGNONHNQRHppRlVudz09
URL:https://scienceinboston.com/event/defining-the-role-of-wound-induced-senescence-in-wound-healing-2/
LOCATION:Online
END:VEVENT
END:VCALENDAR