Events
Bioinformatic Prediction of the Potential SARS-CoV-2 Receptors in Human
Presenter:Chunhui Xu
Date:04-23-2020
Time:3:30pm-4:00pm
Location:Zoom
Unraveling receptors used by SARS-CoV-2 for entry and the exact positively selected sites on the Spike (S) protein associated with this process can provide insights into the viral transmission and reveal therapeutic targets. Except for ACE2, accumulating evidence indicates that the S protein potentially recognizes other receptors like CD147. Therefore, methods for new receptors identification
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New Algorithmic Strategies to Forecasting Contagions
Presenter:Dr. Tozammel Hossain
Date:04-16-2020
Time:3:30PM-4:30PM
Location:https://missouri.zoom.us/j/177502476
Abstract Can tweets be really used to track and forecast an epidemic outbreak? Can we monitor a handful of individuals in a city or a social network to forecast virality? The problems we focus on occur in diverse areas: social networks, public health surveillance, and cybersecurity. This talk will comprise two parts. In the first
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CHALLENGES AND OPPORTUNITIES IN DIABETES SELF-MANAGEMENT EDUCATION AND SUPPORT: THE ANALYSES OF DIABETES MOBILE APPLICATIONS AND PROVIDER DOCUMENTATION PATTERNS
Presenter:Qing Ye
Date:03-10-2020
Time:9:00am-10:00am
Location:714CE Clinical Support & Education Bldg
Diabetes mellitus is one of the most prevalent chronic diseases in the United States. As a disease with long-term complications requiring changes in management, diabetes requires not only education at the time of diagnosis, but ongoing diabetes self-management education. The goal of this dissertation is to identify challenges and opportunities in diabetes self-management education and
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Neural information extraction in biomedical domain: issues and challenges
Presenter:Misha Kovalenko
Date:02-20-2020
Time:3:30pm-4:30pm
Location:Leadership Auditorium
Much medical data today remain inaccessible thus limiting their impact on patient care. Images and illustrations, scientific articles, and free-text reports do not allow for easy extraction and re-use of the knowledge they contain. They lack the structure and metadata necessary for automated processing and annotation. The resources required to collect and annotate manually are
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Applied AI in CDSS in Medicine: A Systematic Review
Presenter:Ploypun Narindrarangkura
Date:02-13-2020
Time:3:30PM-4:30PM
Location:Leadership Auditorium
Objective: Clinical decision support systems (CDSS) are continuously developing to solve medical problems and try to improve healthcare management, which has shown a significant result in reducing medical errors and improving multiple healthcare processes. These days, artificial intelligence (AI) becomes more influential in healthcare supporting physicians to make a clinical decision. Materials and Methods: A systematic review
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