Traditional methods for monitoring pulmonary tuberculosis (PTB) treatment efficacy lack
sensitivity, prompting the exploration of artificial intelligence (AI) to enhance monitoring. This …

Clinical risk prediction formulas for cancer patients can be improved by dynamically
updating the formulas by intermediate events, such as tumor progression. The increased …

Background: Tuberculosis (TB) is one of the leading causes of death worldwide and a major
cause of ill health. Without treatment, the mortality rate of TB is approximately 50%; with …

Tuberculosis (TB) remains a significant global health concern, particularly with the
emergence of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant …

Objective Estimating the deterioration paths of chronic hepatitis B (CHB) patients is critical
for physicians' decisions and patient management. A novel, hierarchical multilabel graph …

Improving the provision of tuberculosis (TB) care is both urgent and imperative to achieve
the goals outlined in the End TB Strategy. China has initiated the integrated TB control …

The use of Deep Neural Network (DNN) models in risk-based decision-making has attracted
extensive attention with broad applications in medical, finance, manufacturing, and quality …

Objective According to the Global Tuberculosis Report for three consecutive years,
tuberculosis (TB) is the second leading infectious killer. Primary pulmonary tuberculosis …

Tuberculosis (TB) remains a global health threat, ranking among the leading causes of
mortality worldwide. In this context, machine learning (ML) has emerged as a transformative …

Snapshot of the Research Publications from the Department of Biological Sciences, University of
Arkansas, 2019-2022 Page 1 University of Arkansas, Fayetteville ScholarWorks@UARK …