April 9, 2023

Development of AI Models for Remote Sensing City Livability Fitness

Tracking a city’s livability fitness is particularly important for the continued urbanization of civilization. Urban environmental and air quality and overall fitness are decreasing due to natural and anthropogenic events, causing degradation of living quality and leading to various population health issues, including heart and lung problems and even premature death. City fitness monitoring is mostly dependent on ground sensor deployment. However, this ground sensor-based monitoring is often not continuous and extensive due to the lack of resources and a very low number of ground observations. Another approach is to estimate city fitness parameters using models built with remote sensing…

April 9, 2023

FatPlants: A Comprehensive Website Platform of Plant Fat Related Genes, Proteins and Metabolism

Increasing seed oil content by plant breeding has resulted in trade-offs or penalties with respect to protein content, seed size, or seed set. The molecular basis for this impasse is mostly speculative. Use of current global profiling approaches to better understand both the metabolic consequences of higher oil and the basis for reduced yield must also deal with off-target genetic mutations (even in near-isogenic lines), ultimately confounding cause-effect interpretations. We propose a diverse, integrated strategy to study the consequences of higher lipid production by studying transgenic plants specifically engineered to produce higher seed oil. As a part of this collaborative project,…

March 30, 2023

Enhancing Health Equity of Aging-in-Place Older Adults with Sustainable Technology: Current Projects and Considerations to Data Science

We discuss the importance of sustainable technology in promoting health equity among aging-in-place older adults. We identify three key considerations necessary for the sustainability of technology in the health field, and examine ongoing projects that align with these considerations, including remote in-home sensor data and electronic health record integration to deliver tailored health messages to independent living older adults, and virtual reality simulations for nursing. Data science components (e.g., multimodal data integration, causal discovery analysis) to effectively support the health and well-being of older adults aging in place that pertains to these sustainable technology-driven projects will be discussed.

March 27, 2023

AI@Mizzou and Generative AI (ChatGPT) Workshop

Join us April 6th for lunch followed by the workshop. To register or get more information, click here.

March 17, 2023

Uncovering CD137 Agonist’s Role in Cancer Immunoprotection via Interactive Multiomics Data Analytics and Visualization Portal

Anti-CD137 monoclonal antibody has been developed to improve anti-cancer immunity in several cancer models and are in clinical trials. SA-4-1BBL, a novel CD137 receptor agonist, has shown cancer immunoprevention in several tumor models as a single agent, yet an agonistic CD137 Ab (3H3) was ineffective in generating cancer prevention. The prevention mechanism by which SA-4-1BBL by which the innate immune system involve in the protection remains unknown. For understanding the mechanisms of action mouse models were treated with SA-4-1BBL and 3H3, samples were collected for performing single and bulk RNA-sequencing as well as flow Cytometry to get the cell counts.

March 17, 2023

A Semi-Supervised Approach to Unobtrusively Predict Abnormality in Breathing Patterns Using Hydraulic Bed Sensor Data in Older Adults Aging-in-place

Shortness of breath is often considered to be a repercussion of aging in older adults due, as such respiratory illnesses like COPD or respiratory illnesses due to heart-related issues are often misdiagnosed or under-diagnosed or ignored at early stages. Continuous health monitoring using ambient sensors has the potential to solve this problem for older adults at aging-in-place facilities. In this work, we leverage continuous respiratory health data collected by using ambient hydraulic bed sensors that were installed in the apartments of older adults in aging-in-place Americare facilities to find the data adaptive indicators related to shortness of breath. We used…

March 8, 2023

Developing a Web-based Interface of Sensor Technologies for Interventionists

The widespread adoption and growth of the consumer sensor technologies, including wearable and in-home sensors, present an opportunity for ambient monitoring of activities of daily living (ADLs) for health and behavioral intervention. Yet no open-source systems exist to incorporate disparate sensor technologies for health care professionals and researchers to monitor client/patient ADLs and assist individuals with health and wellness goals. The purpose of this study is to design and develop a data interface, using a user-centered co-design approach, for health care professionals. Informatics and design researchers engage with nurses, occupational therapists, and social workers to create a user-friendly and web-based…

March 8, 2023

Artificial Intelligence in Disease Prediction using Real World Health Data: Trends, Challenges, and The Future

Recent years have seen significant progress in using artificial intelligence (AI) to develop disease prediction models, which have the potential to improve diagnosis precision, enable early disease prevention, streamline clinical decision making, and reduce healthcare costs. This progress has been supported by the availability of large and diverse biomedical data, including Electronic Health Records (EHRs), which have become a valuable resource for disease prediction. The wide adoption of structured EHR systems has enabled historical patient records to serve as one of the most valuable resources for disease prediction. Traditional research for building disease prediction models relied on experts’ ability to…

Feb. 8, 2023

Rural populations facilitate early SARS-CoV-2 evolution and transmission 

In the United States, rural populations comprise 60 million individuals and suffer from high COVID-19 disease burdens. Despite this, surveillance efforts are biased toward urban centers. Consequently, how rurally circulating SARS-CoV-2 viruses contribute toward emerging variants remains unknown. In this study, 544 urban and 435 rural COVID-19-positive respiratory specimens were collected from two healthcare systems in Missouri between July and December 2020, prior to COVID-19 vaccines. We saw high genetic diversity with 14 of 53 SARS-CoV-2 Pango lineages detected only in rural samples. The lineage diversity of SARS-CoV-2 in rural communities gradually increased whereas those in urban areas remained similar during…