When: September 8, 2022 Where: Journal of Applied Microbiology Research Theme:Data Life Cycle and Curation DART Faculty participants:David Ussery, UAMS The rapid spread of monkeypox is unlike the virus’ past outbreaks and may be a result of genetic mutations identified by University of Arkansas for Medical Sciences (UAMS) researchers. Led by UAMS’ David Ussery, Ph.D.,…Continue Reading UAMS Researchers Find Changes in Monkeypox Genome That May Explain Its Recent Rapid Spread
Tag: Research Highlight
UALR DART Graduate Student Researcher Studying How to Combat Disease by Identifying Therapeutic Vulnerabilities
When: July 10-14, 2022 Where: Madison, WI Research Theme:Data Life Cycle and Curation DART Faculty participants:Stephanie Byrum, UAMS DART Student participants:Kanishka Manna, UAMS A joint UA Little Rock/UAMS doctoral student has been recognized for his research to create a custom protein database to combat complex diseases like melanoma by identifying therapeutic vulnerabilities. Kanishka Manna, a…Continue Reading UALR DART Graduate Student Researcher Studying How to Combat Disease by Identifying Therapeutic Vulnerabilities
Two UAMS DART Graduate Students Advanced to Doctoral Candidacy
When: September 13, 2022 Where: Little Rock, AR Research Theme:CyberinfrastructureData Life Cycle and Curation DART Faculty participants:Lawrence Tarbox, UAMSDavid Ussery, UAMS DART Student participants:Sangam Kadel, UAMSAshley Herdman, UAMS Several graduate students with ties to the Department of Biomedical Informatics (DBMI) celebrated a significant milestone along the journey to complete their Ph.D. programs by participating in…Continue Reading Two UAMS DART Graduate Students Advanced to Doctoral Candidacy
Students and Faculty Attend Top AI Conference in New Orleans
When: June 19 – 24, 2022 Where: New Orleans, LA Research Theme:Learning and Prediction DART Faculty participants:Khoa Luu, UAF DART Student participants:Thanh-Dat Truong, UAFHan-Seok Seo, UAFNgan Le, UAF Students and faculty from the Computer Science and Computer Engineering Department attended the 35th IEEE/CVF Computer Vision and Pattern Recognition Conference, which is the highest ranking conference…Continue Reading Students and Faculty Attend Top AI Conference in New Orleans
Hundreds of Arkansas K12 Students and Educators Engaged in Fun Data Science Activities at Recent Conference
When: March 15-17, 2022 Where: Hot Springs, AR Research Theme: Education DART Faculty Participants:EPSCOR Staff Student Participants:hundreds of K12 STEM students Arkansas EPSCoR staff hosted an interactive booth at EAST Conference 2022, a K12 STEM education conference with over 2000 attendees, and directly engaged hundreds of students in data science learning. Using handouts based on…Continue Reading Hundreds of Arkansas K12 Students and Educators Engaged in Fun Data Science Activities at Recent Conference
Arkansas High School Student Receives Accolades for Work in Machine Learning
When: Spring 2022 Where: Little Rock, AR Research Theme: Cyberinfrastructure DART Faculty Participants:Fred Prior, UAMS DART Student Participants:Anu Iyer, Little Rock Central High School Anu Iyer, a junior at historic Central High School in Little Rock Arkansas, was featured in multiple news outlets for developing a more accurate machine learning tool for diagnosing multiple cancers….Continue Reading Arkansas High School Student Receives Accolades for Work in Machine Learning
Arkansas Researchers Sequence COVID-19 Genomes & Discover Mutation Limitations
A team of researchers led by Professor David Ussery at the University of Arkansas for Medical Sciences is using high-throughput computing to help in sequencing and analysis of SARS-CoV-2 genomes within Arkansas and comparing these to millions of other Covid-19 genomes sequenced from around the world. The work performed by this team led to the discovery that the COVID-19 virus has limitations on the number of possible mutations, a significant result that will contribute to the global knowledge base needed to combat COVID-19 and similar viruses….Continue Reading Arkansas Researchers Sequence COVID-19 Genomes & Discover Mutation Limitations