A5087578556- Machine Learning in Healthcare
- Gene expression and cancer classification
- Biomedical Text Mining and Ontologies
- Traumatic Brain Injury and Neurovascular Disturbances
- Epigenetics and DNA Methylation
- Traumatic Brain Injury Research
- Advanced Clustering Algorithms Research
- Bayesian Methods and Mixture Models
- Genetics and Physical Performance
- Genetic Mapping and Diversity in Plants and Animals
- Chronic Disease Management Strategies
- Virology and Viral Diseases
- Genomics and Chromatin Dynamics
- Statistics Education and Methodologies
- Medical Imaging and Analysis
- Circadian rhythm and melatonin
- Statistical Methods and Inference
- Muscle Physiology and Disorders
- Academic integrity and plagiarism
- Cardiac Arrest and Resuscitation
- Anomaly Detection Techniques and Applications
- Machine Learning and Data Classification
- Online and Blended Learning
- Autopsy Techniques and Outcomes
- Plant Molecular Biology Research
Missouri University of Science and Technology
2014-2025
Purdue University West Lafayette
2007-2013
Traumatic brain injury (TBI) imposes a significant economic and social burden. The diagnosis prognosis of mild TBI, also called concussion, is challenging. Concussions are common among contact sport athletes. After blow to the head, it often difficult determine who has had should be withheld from play, if concussed athlete ready return field, which will develop post-concussion syndrome. Biomarkers can detected in cerebrospinal fluid blood after traumatic their levels may have prognostic...
Callipyge sheep exhibit extreme postnatal muscle hypertrophy in the loin and hindquarters as a result of single nucleotide polymorphism (SNP) imprinted DLK1-DIO3 domain on ovine chromosome 18. The callipyge SNP up-regulates expression surrounding transcripts when inherited cis without altering their allele-specific imprinting status. phenotype exhibits polar overdominant inheritance since only paternal heterozygous animals have hypertrophy. Two studies were conducted profiling gene lamb...
Natural bacterial cytokinins may help engineer crops with improved characteristics.
Summary The callipyge mutation causes postnatal muscle hypertrophy in heterozygous lambs that inherit a paternal allele ( +/CLPG ). Our hypothesis was the up‐regulation of one or both affected paternally expressed genes DLK1 PEG11 ) initiates changes biochemical and physiological pathways skeletal to induce hypertrophy. goal this study identify gene expression during onset are involved phenotype. Gene analysed longissimus dorsi total RNA from at 10, 20, 30 days age using Affymetrix Bovine...
Academic dishonesty and how to address it are common concerns across higher education disciplines, but engineering students admit rates of academic than other students. However, first-year may be particularly receptive prevention efforts. Considering self-perception, social norming, behavioral choice theories, we hypothesized that 1.) Students who perceived themself as ethical more knowledgeable the consequences for misconduct would less likely self-report cheating 2.) plagiarism cheating....
The flipped classroom has the potential to improve student performance. Because flipping involves both preclass preparation and problem solving in classroom, means by which increased learning occurs whether method of delivering content matters is interest. In a partially cell biology course, students were assigned online videos before class textbook reading lectures. Low-stakes assessments used incentivize types preparation. We hypothesized that more would watch than read positively affect...
Down syndrome (DS) is caused by triplication of human chromosome 21 (Hsa21), resulting in skeletal insufficiency and altered postnatal bone development individuals with DS. DS mouse models have shown similar deficits to humans DS, mimicking differences between ages, sexes, compartments. The historic model, Ts65Dn, has provided much the mechanistic insight behind these DS-related deficits, but there are concerns over its construct validity. Ts65Dn mice an additional 60 trisomic genes that...
Abstract Introduction Sleep is an evolutionary conserved function across species, indicating that it a necessary for life. Inadequate sleep promotes several disease states variety of systems reduce lifespan, leading us to hypothesize there must be general underlying mechanism affected by sleep. To discover this mechanism, our interdisciplinary team has developed unique mathematical models predict lifespan in chronologically identical Drosophila melanogaster, based on their characteristics....
Fertilization is followed by complex changes in cytoplasmic composition and extensive chromatin reprogramming which results the abundant activation of totipotent embryonic genome at (EGA). While has been widely studied several species, only a handful reports characterize changing transcriptome profiles resulting metabolic cleavage stage embryos. The aims current study were to investigate RNA vivo developed (ivv) vitro produced (ivt) porcine embryos before (2-cell stage) after (late 4-cell...
Heterogeneity in Autism Spectrum Disorder (ASD) is complex including variability behavioral phenotype as well clinical, physiologic, and pathologic parameters. The fifth edition of the Diagnostic Statistical Manual Mental Disorders (DSM-5) now diagnoses ASD using a 2-dimensional model based social communication deficits fixated interests repetitive behaviors. Sorting out heterogeneity crucial for study etiology, diagnosis, treatment prognosis. In this paper, we present an ensemble analyzing...
Larger dog breeds live shorter than the smaller ones, opposite of mass-lifespan relationship observed across mammalian species. Here we use data from 90 and a theoretical model based on first principles energy conservation life history tradeoffs to explain negative correlation between longevity body size in dogs. We found that birth/adult mass ratio dogs scales negatively with adult size, which is different weak interspecific scaling mammals. Using model, show this ratio, as an index...
A differentially methylated region (DMR) is a genomic that has significantly different methylation patterns between biological conditions. Identifying DMRs conditions critical for developing disease biomarkers. Although methods detecting in microarray data have been introduced, with high precision, recall, and accuracy determining the true length of remains challenge. In this study, we propose normalized kernel-weighted model to account similar profiles using relative probe distance from...
We present a framework for an explainable and statistically validated ensemble clustering model applied to Traumatic Brain Injury (TBI). The objective of our analysis is identify patient injury severity subgroups key phenotypes that delineate these using varied clinical computed tomography data. Explainable statistically-validated models are essential because data-driven identification inherently multidisciplinary undertaking. In case, this procedure yielded six distinct with respect...
Concussions, also known as mild traumatic brain injury (mTBI), are a growing health challenge. Approximately four million concussions diagnosed annually in the United States. Concussion is heterogeneous disorder causation, symptoms, and outcome making precision medicine approaches to this important. Persistent disabling symptoms sometimes delay recovery difficult predict subset of mTBI patients. Despite abundant data, clinicians need better tools assess recovery. Data-driven decision support...
Cluster analysis has been applied to a wide range of problems as an exploratory tool enhance knowledge discovery. Clustering aids disease subtyping, i.e. identifying homogeneous patient subgroups, in medical data. Missing data is common problem research and could bias clustering results if not properly handled. Yet, multiple imputation under-utilized address missingness, when Its limited integration data, despite the known advantages benefits imputation, be attributed many factors. This...
Patient distances can be calculated based on signs and symptoms derived from an ontological hierarchy. There is controversy as to whether patient distance metrics that consider the semantic similarity between concepts outperform standard are agnostic concept similarity. The choice of metric dominate performance classification or clustering algorithms. Our objective was determine if semantically augmented would machine learning tasks.We converted neurological findings 382 published neurology...