Predicting the Diagnosis of Autism using Classification Models based on fMRI Abstract
Autism spectrum disorder is a lifelong neurodevelopmental disorder that is diagnosed based on behavioral and social interaction patterns. Predictive algorithms provide a novel approach in identifying key neurological biomarkers and subsequent psychiatric diagnosis using functional magnetic resonance imaging (fMRI) data. This study analyzes a dataset collected from studies at 17 international locations as part of the Autism Brain Imaging Dataset Exchange (ABIDE).
Predicting Colon Cancer Using Clustering Models based on DNA Microarray Data Abstract
Colon cancer is a significant public health concern and leading cause of death in the older human population. The healthcare burden can be significantly reduced with earlier detection and preventative measures. Although genetic information has been shown to be altered in the early stage of the disease, DNA sequencing data is highly dimensional and must be analyzed using predictive algorithms.
Data Driven Engineering of CRISPR-Cas12a for PAM Recognition Masters of Science in Chemical Engineering Thesis
College of Engineering, University of Wisconsin-Madison
Abstract
We know that amino acids are combined in sequence to constitute proteins for an undefined number of biological functions. Proteins thus evolved for millions of years before being repurposed for human applications in the medical field, food and chemicals. CRISPR enzymes are emerging as a highly versatile workhorse for targeting of specific DNA sequences, useful in biomedicine and biotechnology.
