ReviewMedical journal, Armed Forces India2021
Precision medicine: Concept and tools.
Review in Medical journal, Armed Forces India, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it, 137 citations in OpenAlex.
- Scoping review of precision child and youth mental health research: dwelling in possibility.Frontiers in psychiatry · 2025Pooled it
- Toward Precision Cardiac Rehabilitation: Current Limitations and Future Opportunities of Omics and Artificial Intelligence.Sports medicine (Auckland, N.Z.) · 2026Review
- Genetic literacy assessment among medical students using the Indonesian adaptation of the University of North Carolina Genomic Knowledge Scale.Journal of community genetics · 2026Article
- Nanoparticle-Hydrogel Composites for Precision Medicine.Cell biomaterials · 2026Article
- Toward Personalized Theranostics: A Modular PET Platform for Antibody-Based Imaging and Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Pharmacogenomics of antibacterial and antiviral therapies: Clinical actionability, evidence gaps, and future directions.Pharmacological reviews · 2026Review
- Mechanistic success and clinical neutrality: lessons from the OXICARD trial.Journal of thoracic disease · 2026Article
- A photocleavable peptidic Ru(ii) mass-tag enabling targeted DESI and MALDI mass spectrometry imaging in cancer tissues.Chemical science · 2026Article
- Plasmonic and surface-enhanced Raman nanobiosensors for quantitative molecular detection.Discover nano · 2026Review
- Precision Medicine in Inherited Retinal Disease: Advances, Challenges, and Future Directions.Journal of personalized medicine · 2026Review
- Article
- Personalized Medicine, Storied Past, Contentious Present, Promising Future.Journal of personalized medicine · 2026Article
- Distributed Pharmacodynamic Architecture in Multi-Component Herbal Formulations: A Flux-Based Framework for Redox-Heterogeneous Diseases.Pharmaceutics · 2026Review
- Precision Microbiome Modulation: Exploring Lactobacillus spp. as A Targeted Strategy for Type 2 Diabetes Management.Current nutrition reports · 2026Review
- SAFEGUARD: Transforming Military Suicide Prevention Through Predictive Analytics and Targeted Interventions.Current psychiatry reports · 2026Review
- Gene, genetics and genetic medicines in gastroenterology: Current status and its future.World journal of gastroenterology · 2026Review
- Contemporary non-statin therapies for dyslipidemia management: achieving current lipid targets.Frontiers in medicine · 2026Review
- Challenges and prospects ofFrontiers in pharmacology · 2026Review
- Distribution ofFrontiers in genetics · 2026Article
- Editorial: Novel rehabilitation approaches for non-communicable diseases in the era of precision medicine.Frontiers in medicine · 2026Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision medicine is the new age medicine and refers to tailoring treatments to a subpopulation who have a common susceptibility to a particular disease or similar response to a particular drug. Although the concept existed even during the times of Sir William Osler, it was given a shot in the arm with the Precision Medicine Initiative launched by Barack Obama in 2015. The main tools of precision medicine are Big data, artificial intelligence, the various omics, pharmaco-omics, environmental and social factors and the integration of these with preventive and population medicine. Big data can be acquired from electronic health records of patients and includes various biomarkers (clinical and omics based), laboratory and radiological investigations and these can be analysed through machine learning by various complex flowcharts setting up an algorithm for the management of specific subpopulations. So, there is a move away from the traditional "one size fits all" treatment to precision-based medicine. Research in "omics" has increased in leaps and bounds and advancements have included the fields of genomics, epigenomics, proteomics, transcriptomics, metabolomics and microbiomics. Pharmaco-omics has also come to the forefront with development of new drugs and suiting a particular drug to a particular subpopulation, thus avoiding their prescription to non-responders, preventing unwanted adverse effects and proving economical in the long run. Environmental, social and behavioural factors are as important or in fact more important than genetic factors in most complex diseases and managing these factors form an important part of precision medicine. Finally integrating precision with preventive and public health makes "precision medicine" a complete final product which will change the way medicine will be practised in future.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.