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X-WR-CALNAME:USC Big Data Health Science Center
X-ORIGINAL-URL:https://bigdata.sc.edu
X-WR-CALDESC:Events for USC Big Data Health Science Center
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DTSTART:20180101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20190925
DTEND;VALUE=DATE:20190926
DTSTAMP:20260425T154303
CREATED:20191209T043121Z
LAST-MODIFIED:20200608T195916Z
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SUMMARY:“Utilizing Big Data for Drug Discovery (Repurposing) to Improve Patient and Disease Outcomes” Seminar
DESCRIPTION:“Utilizing Big Data for Drug Discovery (Repurposing) to Improve Patient and Disease Outcomes” Seminar\, Dr. Scott Sutton\, UofSC \nAbstract:\nDrug repurposing holds the potential to bring existing medications with known safety profiles to new patient populations to accelerate drug development and lower treatment costs. Numerous examples exist for the identification of new indications for existing compounds and identified from unanticipated findings or focused efforts to the mechanism of action of a specific drug. In recent years\, the need for new approaches to drug research and development\, combined with the advent of big data repositories and associated analytical methods\, has generated interest in developing systematic approaches to drug repurposing. In this presentation\, we describe our approach to systematic repurposing and discuss the need for strategic collaborations to increase the likelihood of success in bringing existing molecules to new indications. The research examples utilized as big data examples include influenza\, diabetes\, Alzheimer’s\, and Colorectal cancer. \nAbout the speaker:\nhttps://www.sc.edu/study/colleges_schools/pharmacy/faculty-staff/sutton_scott.php \nRegister at https://www.eventbrite.com/e/uofsc-bdhscs-monthly-seminars-tickets-70941739653
URL:https://bigdata.sc.edu/event/utilizing-big-data-for-drug-discovery-repurposing-to-improve-patient-and-disease-outcomes-seminar/
LOCATION:SC
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20190828
DTEND;VALUE=DATE:20190829
DTSTAMP:20260425T154303
CREATED:20191209T042914Z
LAST-MODIFIED:20200608T195700Z
UID:312-1566950400-1567036799@bigdata.sc.edu
SUMMARY:“Neuroimaging Data Collection in NIH StrokeNet Clinical Trials” Seminar
DESCRIPTION:“Neuroimaging Data Collection in NIH StrokeNet Clinical Trials” Seminar\, Dr. Wenle Zhao\, Medical University of South Carolina \nAbstract:\nEstablished in 2014\, the NIH StrokeNet is designed to conduct large multicenter clinical trials for stroke acute treatment\, recovery\, and prevention. The Data Coordination Unit at the Medical University of South Carolina is the National Data Management Center for the StrokeNet\, managing 8 concurrent stroke trials today. Most of these trials involve neuroimaging for eligibility and efficacy outcome assessments. This talk will present measures implemented for fast file uploading\, PHI data cleaning\, and neuroimaging central read and scoring\, and wishes for automated neuroimaging processing. \nAbout the speaker:\nDr. Zhao is a research professor in the Department of Public Health Sciences at the Medical University of South Carolina. He obtained his BS and MS in Mechanical Engineering at Zhejiang University\, China\, and his PhD in Biostatistics at MUSC. His research interest covers subject randomization algorithm in clinical trials and integrated information system for clinical trial data and operation management. \nRegister at https://www.eventbrite.com/e/the-uofsc-bdhscs-monthly-seminars-tickets-65242083829
URL:https://bigdata.sc.edu/event/neuroimaging-data-collection-in-nih-strokenet-clinical-trials-seminar/
LOCATION:SC
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