De-novo SuperTranscriptome assembly from the nodal root growth zone of maize inbred line FR697

Certain cultivars of maize show increased resistance to water deficit conditions by maintenance of root growth. To better understand the molecular mechanisms related to this adaption, nodal root growth zone samples were collected from the reference inbred line B73 and…

Design and Evaluation of a Longitudinal Method to Measure Physician Burnout in the Clinical Workflow

Burnout, a condition characterized by emotional exhaustion, listlessness, and an inability to cope, is demonstrably more prevalent among healthcare providers than other occupations.  Burnout is fundamentally a longitudinal problem, but traditional instruments for measurement such as the Maslach Burnout Inventory…

Analysis and Dissemination of School-based Immunization Data to Improve Public Health Outcomes in Missouri

In Missouri, immunization is required for both public and private school students against common vaccine-preventable diseases (VPDs) including polio, pertussis, varicella, measles, mumps, and rubella; however, parents may forego vaccination for their child by claiming medical or religious exemptions. Like…

Computational Subgroups Stratification and Precision Drug Repositioning Using Explainable Artificial Intelligence

Enabling precision medicine requires developing robust patient stratification methods and identifying drugs tailored to homogeneous subgroups of patients from a heterogeneous population. Once discovering these subgroups, we can align patients and medications more specifically to achieve precision-based therapy. Developing de novo drugs…

Virtual Campus Visit with NSF CISE AD Dr. Margaret Martonosi

The National Science Foundation (NSF) supports a majority of US academic research in the Computer and Information Science and Engineering (CISE) topic areas. Since February, 2020, Dr. Margaret Martonosi serves as NSF CISE AD, stewarding the CISE directorate’s $1B annual budget on behalf…

Dissertation Defense – Utilizing Blockchain Technology for Clinical Trial Optimization

Clinical trials are the cornerstone of treatment discovery because they provide comprehensive scientific evidence on the safety, efficacy, and optimal use of therapeutics. However, current clinical trials are facing multiple challenges such as patient recruitment, data capture, and overall management.

Comprehensive Exam Announcement – A Case-Control based Genomic Analysis of Chronic Obstructive Pulmonary Disease

Chronic Obstructive Pulmonary Disease (COPD) is a respiratory illness that affects millions of people all over the world. It is a major cause of chronic morbidity and mortality and a serious global public health problem. COPD is the fourth leading…

Regulation of gene expression by DNA methylation with cytotoxic T lymphocytes evaluation in consensus molecular subtypes of colorectal cancer

Background: Low cytotoxic T lymphocyte (CTLs) infiltration in colorectal cancer (CRC) tumors is a challenge to treatment with immune checkpoint inhibitors. Consensus molecular subtypes (CMS) classify patients based on tumor attributes, and CMS1 patients include the majority of patients with…

Leveraging Unsupervised Machine Learning To Find Trends In The Textual Warnings Generated Using Multi-Modality Time Series Sensor Data

With technology and the internet of things (IoT), smart health care is no longer a dream. The devices that wouldn’t usually be generally expected to have an internet connection can communicate with the network independent of human action, and this…