Precision Medicine
5 researchers across 3 institutions
This research area focuses on tailoring medical treatment to the individual characteristics of each patient. Investigations explore how a person's genetic makeup, environment, and lifestyle influence their health and response to therapies. Researchers utilize advanced molecular biology techniques, bioinformatics, and computational modeling to identify biomarkers for disease risk, diagnosis, and treatment efficacy. Sub-fields include pharmacogenomics, the study of how genes affect a person's response to drugs, and the development of targeted therapies for various diseases, including cancers and neurological disorders.
This work holds particular relevance for Arkansas by addressing health disparities and improving outcomes for the state's population. Research efforts align with the need for more effective and personalized approaches to common health issues in Arkansas, such as cardiovascular disease and cancer. Understanding the genetic and environmental factors that contribute to disease prevalence in the state can inform public health strategies and the development of locally relevant diagnostic and therapeutic tools.
This interdisciplinary field draws upon expertise in molecular biology, pharmacology, computational science, and health sciences. Engagement spans multiple institutions within Arkansas, fostering collaboration across diverse research environments and contributing to a robust ecosystem of health-related scientific inquiry.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Dan Li | NCTR | 4 | 286 | ||
| Meeiyueh Liu | UAMS | 2 | 108 | ||
| Edward Zhao | UAMS | 2 | 32 | ||
| Maxwell J. Bean | University of Arkansas | 2 | 5 | ||
| William Jeremy Shelton-Correa | UAMS | 0 | 0 |
Related Research Areas
Strategic Outlook
Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW
Top US institutions in this area
- 1 Harvard University 2,344
- 2 University of Washington 1,416
- 3 University of California San Diego 1,380
- 4 National Institutes of Health 1,296
- 5 Johns Hopkins University 1,222