Systems-Aligned Precision Medicine—Building an Evidence Base for Individuals Within Complex Systems
Bibliographic Data
| ID | 15808533 |
|---|---|
| Authors | Anna R Kahkoska (0000-0003-2701-101X, University of North Carolina at Chapel Hill, corresponding author), Nikki L B Freeman (0000-0002-9905-4855, University of North Carolina at Chapel Hill), Kristen Hassmiller Lich (0000-0002-3311-4202, University of North Carolina at Chapel Hill) |
| Year | 2022 |
| Volume | 3 |
| Issue | 7 |
| Pages | e222334-e222334 |
| Publication date | 2022-07-29 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | JAMA Health Forum (JOURNAL) |
| Journal identifiers | ISSN: 2689-0186 • E-ISSN: 2689-0186 |
| Publisher | American Medical Association (PUBLISHER • US) |
| DOI | 10.1001/jamahealthforum.2022.2334 |
| OpenAlex | W4288711861 |
| Language | EN |
| Citations received | 1 |
| References cited | 9 |
Advances in data collection and storage, computing, and analytics, combined with a growing recognition of the clinical importance of heterogeneity among individuals, are producing new solutions to clinical problems and a paradigmatic shift in evidence generation: precision medicine
Base (topology · Complex system · Data science · Computer Science · Health Systems, Economic Evaluations, Quality of Life · Health, Environment, Cognitive Aging · Machine Learning in Healthcare · Mathematics · Artificial Intelligence
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |