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Proof tree contrast mining for automatic hypothesis generation
Presenter:

Will Baskett

Date:

04-23-2020

Time:

4:00pm-4:30pm

Location:

Zoom

The probability of developing almost any given disease is affected by multiple risk factors. These risk factors often do not behave independently, instead interacting in specific ways which affect the probability of developing the disease. To better understand the root causes of many diseases, it is necessary to study these interactions as they may provide

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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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