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MUIDSI Comprehensive Exam — Measuring Geodiversity in Remotely-Sensed Imagery: Deep Spatial Change Detection Methods for Dataset Bias Mitigation and Visual Landscape Characterization

Amid explosive growth in availability of multimodal remotely sensed imagery (RSI) data from a constellation of overhead sensors, a lack of understanding persists concerning the actual content of these data sources, in particular the nature of spatial variation in the visual and contextual features in the landscape being imaged. Whether described as spatial domain shift,

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2022 Mizzou Faculty Alumni Awards – Notable Presence from MUIDSI

The 67th Annual Faculty Alumni Awardees were announced  on July 20, 2022.  Dr. Chi-Ren Shyu, MU IDSI Director; Dr. Lori Popejoy, MU IDSI Core Faculty and Interim Dean of Sinclair School of Nursing; and Dr. Dr. Stevan Whitt, Senior Associate Dean for Clinical Affairs of Medicine and MU IDSI’s long term physician collaborator, were among the

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GIScience as an Interdisciplinary Bridge in Indigenous Health Equity 

GIS and geographic theories can help bridge a crucial gap in interdisciplinary research projects. Geography is uniquely poised to offer critical and practical analytical support, wrangle spatial data and relate them to other datasets, and ground community-based science within the communities it aims to serve. In the context of the Navajo Nation, a key concern

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Dr. Blake Meyers Elected to the National Academy of Sciences

Dr. Blake Meyers, MUIDSI Informatics PhD program Core Faculty and Professor in the Division of Plant Science and Technology, and jointly appointed as a Principal Investigator and Member of the Donald Danforth Plant Science Center, has been elected as a Member of the US National Academy of Sciences.  https://www.danforthcenter.org/news/blake-meyers-elected-to-national-academy-of-sciences/

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Impact of diabetes status and other factors on risk for thrombotic and thromboembolic events: A multicenter, retrospective analysis using the Cerner Real-World DataTM de-identified COVID-19 cohort 

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a proinflammatory condition that can impact the cardiovascular and cerebrovascular systems, thereby increasing risk for thrombotic and thromboembolic events (TTE). However, little is known about the impact of diabetes status on risk for TTEs during SARS-CoV-2 infection. In this US-based, multicenter

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AMIA Informatics Summit Best Student Paper Award

On March 21st, doctoral student Humayera Islam won the American Medical Informatics Association (AMIA) Student Paper Competition award for the 2022 AMIA Informatics Summit that was held in Chicago. “It’s one of the biggest platforms for informatics people,” Islam said. “It’s very a very diverse and multidisciplinary platform where anybody that works in this area

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Analysis of polygenic selection in purebred and crossbred pig genomes using Generation Proxy Selection Mapping

Background Artificial selection on quantitative traits using selection indices in commercial livestock breeding populations causes changes in allele frequency over time, termed selection signatures, at causal loci and other surrounding genomic regions.  Researchers and managers of pig breeding programs are motivated to understand the genetic basis of phenotypic diversity across genetic lines, breeds, and populations using

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Comprehensive Exam: Using subgroup discovery techniques to identify a high-risk group of suicide attempts among people with diabetes

In 2019, 37.3 million Americans had diabetes mellitus, and 1.2 million Americans aged 18 and older had attempted suicide in the past year. According to previous studies, people with type 1 diabetes were three to four times more likely to attempt suicide, and newly diagnosed with type 2 diabetes were two times more likely to

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Detecting formation and growth of refugee / displaced person camps in the Ukraine crisis: Assisting first-phase humanitarian response using satellite imagery

Amid the worst population displacement crisis in Europe since World War 2, governments and international organizations have struggled with the massive task of tracking and providing aid to Ukrainian refugees and internally displaced persons (IDPs). This presentation reviews requirements and explores solutions for AI-assisted monitoring of formation of ad-hoc refugee encampments and temporary/informal settlements in

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