Cancer Screening And Detection
2 researchers across 1 institution
This research area focuses on developing and improving methods for identifying cancer at its earliest, most treatable stages. Investigations explore novel imaging techniques, biomarker discovery in biological samples, and the application of artificial intelligence and machine learning to analyze complex datasets for improved diagnostic accuracy. Studies also examine the effectiveness of different screening protocols and patient adherence to recommended screenings, aiming to reduce delays in diagnosis and improve patient outcomes.
The work in cancer screening and detection holds particular relevance for Arkansas, a state that faces significant public health challenges related to cancer incidence and mortality. Research efforts contribute to addressing these disparities by investigating factors that influence screening uptake and access across diverse populations within the state. Understanding these dynamics is crucial for developing targeted interventions and improving health equity in cancer care throughout Arkansas.
This field draws upon expertise in areas such as health disparities, health literacy, and telemedicine. Collaborations extend across multiple institutions, fostering a comprehensive approach to advancing cancer screening and detection strategies.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Holly C. Felix | UAMS | 20 | 1,777 | High Impact | |
| Sumit Shah | UAMS | 20 | 1,182 | High Impact |