Summary
Clinical sciences encompass the translation of biological, technological and epidemiological discoveries into the diagnosis, treatment and prevention of human disease. At its core lie patient-centred investigations—from bedside assessment and clinical trials to health-system innovation and real-world data analytics—that inform evidence-based care. Advances in molecular profiling, medical imaging and electronic health records have enabled more precise characterisation of disease trajectories and individual risk. Simultaneously, adaptive trial designs, digital monitoring and artificial-intelligence tools are reshaping therapeutic development and delivery. Across diverse specialties, clinical scientists integrate rigorous physiological measurement with patient-reported outcomes to optimise interventions and to reduce unwarranted variation in practice. Globally, clinical research underpins public-health strategies for chronic diseases, infectious threats and population ageing. By fostering multidisciplinary collaboration—from data scientists and bioengineers to bedside clinicians—clinical sciences accelerate the feedback loop between discovery and implementation, with the ultimate aim of improving quality of life, health equity and system resilience.
Research from Nature Portfolio
A comprehensive multi-omics study in a rodent model of endurance training profiled transcriptomic, proteomic, metabolomic and epigenomic changes across blood and 18 solid tissues over eight weeks of exercise. The work revealed coordinated regulation of immune-related, mitochondrial and stress-response pathways, with distinct temporal and tissue-specific signatures. This resource offers a systems-level view of the molecular adaptations underpinning exercise-mediated health benefits.
In a large prospective cohort of over 90 000 adults monitored by wrist accelerometers, the timing of moderate-to-vigorous physical activity was linked to mortality outcomes. While overall activity volume was protective, the greatest reductions in all-cause and cardiovascular mortality were observed in individuals who concentrated most of their daily activity in the late morning to afternoon window. These findings highlight daily activity patterns as modifiable factors in cardiovascular prevention.
Topic trend for the past 5 years
The graph below shows the article count in Nature Index journals for clinical sciences.
* The ‘Current Index’ represents data for a 12-month rolling window, the current window is 1 May 2025 - 30 April 2026.
Technical terms
Multi-omics: Integrated analysis of multiple molecular layers (such as gene expression, proteins and metabolites) to capture complex biological responses.
Accelerometer: A wearable device that quantifies movement intensity and patterns, enabling objective measurement of physical activity.
Composite cardiovascular-risk score: A standardised index combining blood pressure, cholesterol, glucose and adiposity measures to assess overall cardiometabolic risk.
Network meta-analysis: A statistical method that compares multiple interventions by synthesising direct and indirect evidence across randomised trials.
Rate-ratio (hazard ratio): A measure of relative risk over time, comparing the hazard of an outcome between two groups.
Precision medicine: An approach that tailors prevention and treatment strategies to individual characteristics, including genetic, environmental and lifestyle factors.
Randomised controlled trial (RCT): An experimental study design in which participants are randomly allocated to interventions, providing the highest level of evidence for causal inference.
Notable articles in clinical sciences
- Aerobic, resistance, or combined exercise training and cardiovascular risk profile in overweight or obese adults: the CardioRACE trial. European Heart Journal (2024).
- Temporal dynamics of the multi-omic response to endurance exercise training. Nature (2024).
- Associations of timing of physical activity with all-cause and cause-specific mortality in a prospective cohort study. Nature Communications (2023).
About these summaries
This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.
Research
Position of Clinical Sciences in Nature Index by Count
Leading institutions
| Institution | Count | Share |
|---|---|---|
| Harvard University | 513 | 156.77 |
| Shanghai Jiao Tong University (SJTU) | 178 | 66.76 |
| National Institutes of Health (NIH) | 243 | 64.67 |
| Zhejiang University (ZJU) | 156 | 62.4 |
| Johns Hopkins University (JHU) | 221 | 60.43 |
| University of Toronto (U of T) | 210 | 58.89 |
| Chinese Academy of Sciences (CAS) | 272 | 57 |
| Sichuan University (SCU) | 99 | 53.32 |
| University of Michigan (U-M) | 163 | 49.44 |
| Mayo Clinic | 142 | 45.33 |
Leading countries/territories
| Countries/territories | Count | Share |
|---|---|---|
| United States of America (USA) | 2992 | 2094.11 |
| China | 1642 | 1387.46 |
| United Kingdom (UK) | 857 | 310.38 |
| Germany | 615 | 227.53 |
| Canada | 533 | 216.31 |
| France | 475 | 195.79 |
| Japan | 327 | 185.42 |
| Netherlands | 379 | 138.18 |
| Australia | 370 | 134.34 |
| South Korea | 205 | 109.77 |
Collaboration
Top 5 leading collaborators in Clinical Sciences
Collaborating institutions
Note: Hover over the bars to view details about each institution's Share.
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