Limited activity: This researcher has not published recently. Profile data may be outdated.
Match tier Institution-verified
Presence Current · Arkansas
Sources Institutional record
Refreshed 2026-03-16

Mark Worley

Sourced from institutional research profiles (UAMS TRI or ARA).

UAMS Contingent Worker

UAMS

Unknown Researcher

Northwest AR Campus Support, College of Northwest Arkansas UAMS Campus

Research Areas

Links

Research Group UAMS TRI Profile

Edit your profile

OverviewAI-generated summary

Mark Worley's research interests are centered on the development and application of advanced computational methods for analyzing biological data. His work involves the use of machine learning, particularly neural networks, to interpret complex datasets. He has explored applications in areas such as bioinformatics and potentially in the early detection of diseases through image analysis, aiming to improve diagnostic accuracy and treatment strategies.

Frequent Collaborators

Mcelfish, Pearl Anna Curran, Geoffrey

Similar Researchers

Based on overlapping research topics

Ian Wayne Vance University of Arkansas at Fayetteville
Advanced Neural Network Applications Bioinformatics and Genomic Networks Machine Learning Applications
Strong match 4 shared topics
Lyle Burdine University of Arkansas for Medical Sciences
Advanced Neural Network Applications Bioinformatics and Genomic Networks Machine Learning Applications
Strong match 4 shared topics
Xin Li University of Arkansas at Fayetteville
Advanced Neural Network Applications Bioinformatics and Genomic Networks Machine Learning Applications
Good match 4 shared topics
Rupesh Konduru Southern Arkansas University
Advanced Neural Network Applications Machine Learning Applications Medical Imaging Techniques and Applications
Good match 3 shared topics
Andres Dewendt Urdaneta Arkansas Tech University
Advanced Neural Network Applications Machine Learning Applications Medical Imaging Techniques and Applications
Good match 3 shared topics
X Zhang University of Arkansas for Medical Sciences
Advanced Neural Network Applications Machine Learning Applications Medical Imaging Techniques and Applications
Good match 3 shared topics