Linked from

The 60 pages that link to Personalized medicine, each with the reason it gives.

• PharmacogenomicsNarrower topic: Pharmacogenomics is one source of individualized information within this broader approach.

• DNA sequencingRelated: Sequencing can help select interventions based on a person's tumor or inherited variants.

• Major depressive disorderNarrower topic: Depression research seeks ways to match treatment choices to differing causes and response patterns.

• Gene–environment interactionRelated: Gene–environment evidence can help explain why one intervention benefits some people more than others.

• ImmunosuppressionRelated: Individualized treatment could better match immunosuppressive intensity to each person's risks.

• Atopic dermatitisRelated: Better disease subtyping could make treatment selection more precise.

• Human Genome ProjectRelated: The project helped make genomic information a proposed guide to medical decisions.

• OrganoidRelated: Patient-derived organoids can be tested for differing responses to treatments.

• Systems biologyRelated: Integrated models can connect individual molecular profiles with likely disease responses.

• Therapeutic indexRelated: Individual differences can alter effective and toxic doses, changing the margin estimated for a population.

• GenomeRelated: Genome data can inform disease risk and treatment choices.

• Inflammatory bowel diseaseNarrower topic: IBD research aims to match therapies to each person’s disease biology and likely response.

• GenomicsRelated: Genomic profiles can help guide risk assessment and treatment choices.

• NeurologyRelated: Neurological diseases often respond differently, motivating more individualized treatment choices.

• BioinformaticsRelated: Interpreting patient molecular data can inform treatment choices.

• Pharmaceutical industryRelated: Targeted treatments link product development to patient-specific evidence and biomarkers.

• Targeted therapyNarrower topic: Targeted therapy is a treatment strategy within this broader approach.

• Human genetic variationRelated: Genetic variation can help guide risk assessment and treatment choices.

• FibromyalgiaNarrower topic: It could help explain why people with fibromyalgia respond differently to the same treatments.

• Antiseizure medicationNarrower topic: Antiseizure treatment is moving toward better prediction of each person's response and adverse effects.

• Induced pluripotent stem cellNarrower topic: Patient-specific cell lines can reveal how an individual’s cells respond to treatments.

• Pharmaceutical formulationCompared with: Personalized dosing can challenge formulations designed for standardized strengths and populations.

• Preventive medicineRelated: Risk-based prevention raises questions about how much intervention should vary between individuals.

• MetabolomicsRelated: Metabolic profiles can help distinguish patient subgroups and inform treatment choices.

• AnhedoniaRelated: Researchers seek to match treatment to the particular reward processes impaired.

• Genetic heterogeneityNarrower topic: Identifying the specific genetic cause can alter prognosis and management despite similar symptoms.

• Mass customizationCompared with: It shares the principle of tailoring, but concerns medical decisions rather than scaled goods production.

• Multiple organ dysfunction syndromeRelated: Researchers seek patient-specific approaches because MODS has diverse causes and trajectories.

• Transcranial magnetic stimulationRelated: Differences in anatomy and treatment response motivate individualized TMS targeting and dosing.

• Ulcerative colitisRelated: A major challenge is matching therapies to patients before ineffective treatment delays control.

• Clinical decision-makingRelated: It emphasizes individual differences that broad recommendations may not address.

• Genetic disorderRelated: A disorder’s genetic cause can help identify therapies suited to particular patients.

• Chronic rhinosinusitisRelated: Biomarker-guided care could match therapies to inflammatory subtypes.

• Psychiatric medicationRelated: Psychiatric prescribing seeks better ways to match drug, dose, and patient.

• Treatment-resistant depressionRelated: Treatment selection aims to account for differences that current depression guidelines capture imperfectly.

• BiomedicineRelated: It applies molecular and patient-level data to select more individualized care.

• Drug developmentRelated: Some medicines are developed for defined patient subgroups identified by biomarkers.

• OncologyRelated: Tumor profiling aims to match cancer therapies to the features most likely to matter.

• Cell therapyRelated: Patient-specific cell products promise tailored treatment but can complicate cost and manufacturing.

• Drug-Resistant EpilepsyRelated: Biomarkers and genetic findings may eventually predict which treatments will work.

• Genetic determinismRelated: Its promise depends on using genetic information as one influence among several.

• Adjuvant therapyRelated: A central challenge is matching each patient to the adjuvant treatment most likely to help.

• Biomedical researchRelated: Biomedical studies identify the biological differences that can guide tailored care.

• Genetic epidemiologyRelated: Genetic risk evidence can help tailor prevention and care.

• Clinical pharmacologyRelated: Clinical pharmacology supplies drug-response evidence used to individualize therapy.

• Francis CollinsRelated: Genome sequencing strengthened the prospect of tailoring care to genetic differences.

• Phage therapyRelated: Phage treatment is often tailored to the pathogen isolated from an individual infection.

• Health informaticsRelated: It relies on integrating diverse patient data to tailor clinical decisions.

• History of geneticsRelated: Genetic testing increasingly informs risk assessment and treatment selection.

• Lennox–Gastaut syndromeRelated: Research seeks treatments better matched to the diverse causes and seizure profiles.