Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Personalized medicine

Personalized medicine, also referred to as precision medicine or systems medicine, is a medical model that separates people into different groups—with medical decisions, practices, interventions and/or products being tailored to the individual patient based on their predicted response or risk of disease. The terms personalized medicine, precision medicine…

Applications & Products

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Personalized medicine. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Development of concept

Background

Practice

Applications

Challenges

Systems medicine

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Personalized medicine

Nodes210
Edges209
Triples131
Avg. degree1.99
Density0.009524
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Personalized medicine

Top relations

related to Implementation · 17
Personalized medicine → Challenges, Even, FutureProofing Healthcare, Futures Studies, In, Personalised Health Index, Roche, Several, SNPs, The, The Copenhagen Institute, There, They, This, Very, Vital Signs, While
related to Drug development and usage · 15
Personalized medicine → After, Being, CYP2D6, David Flockhart, ER, FDA, For, Having, In, Physicians, Such, Tamoxifen, This, With, Women
related to Patient privacy and confidentiality · 12
Personalized medicine → AI, Bloom, FDA, Genetic Information Nondiscrimination Act, GINA, In, Moreover, On February, One, Perhaps, The, This
related to Regulatory oversight · 12
Personalized medicine → An, Drug Administration, FDA, FDA's, Food, In October, Medical Product Development, New Era, Paving, The, These, Way
related to Respiratory proteomics · 12
Personalized medicine → BAL, For, However, In, Lazzari, More, NLF, Over, Proteins, Respiratory, The, These
related to Basics · 11
Personalized medicine → Although, Another, DNA, Every, For, Modern, Recent, RNA, RNA-seq, Therefore, Unlike DNA
related to Reimbursement policies · 11
Personalized medicine → Barriers, BRACAnalysis, Breast Cancer, Oncotype DX, Patients, Reimbursement, Some, The, These, Ultimately, Use
related to Cancer genomics · 7
Personalized medicine → Among, Examples, High-throughput, Oncogenomics, Over, Personalized, There
related to Challenges · 7
Personalized medicine → AI, As, For, Furthermore, In, The, UK
related to Data biases · 6
Personalized medicine → Consequently, Data, For, Framingham Heart Study, It, This

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

medicine disease genetic personalized drug precision treatment patients cancer used also data genome molecular personalised individual genomics health patient use

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Personalized medicineis away to demonstrate its effectiveness relative to the current standard of care0.90text
genome sequencing can reveal mutations in DNA that influence diseases ranging from cystic fibrosis to cancerinstance ofpersonalised techniques0.80text
tumor loadinstance ofoften using surrogate measures0.80text
major bleedinginstance ofphysicians can use patients' gene profile to prescribe optimum doses of warfarin to prevent side effects0.80text
to allow soonerinstance ofphysicians can use patients' gene profile to prescribe optimum doses of warfarin to prevent side effects0.80text
better therapeutic efficacyinstance ofphysicians can use patients' gene profile to prescribe optimum doses of warfarin to prevent side effects0.80text
MRI contrast agentsinstance ofThe tests may involve medical imaging0.80text
David Flockhartinstance ofAfter research by people0.80text
it was discovered that women with certain mutation in their CYP2D6 geneinstance ofAfter research by people0.80text
a gene that encodes the metabolizing enzymeinstance ofAfter research by people0.80text
were not able to efficiently break down Tamoxifeninstance ofAfter research by people0.80text
making it an ineffective treatment for theminstance ofAfter research by people0.80text

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.