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About Biomedical Basics
Biomedical Basics are AI-generated explanations prepared with access to the complete collection, human-reviewed prior to publication. Short and simple, covering biomedical and life sciences fundamentals.
Topics Covered
- Pharmacogenomics in personalized medicine
- Genetic variation in drug response
- Genomic technology for tailored therapy
- Clinical pharmacogenomics examples
- Genetic biomarkers and predictive testing
- Ethical challenges in implementation
- Equity in pharmacogenomic testing
- Routine healthcare integration
Talk Citation
(2026, May 28). Pharmacogenomics and personalised medicine [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved May 29, 2026, from https://doi.org/10.69645/VWLC3199.Export Citation (RIS)
Publication History
- Published on May 28, 2026
Financial Disclosures
A selection of talks on Genetics & Epigenetics
Transcript
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0:00
The following session will
cover pharmacogenomics and
personalized medicine within
the context of this subject,
focusing on pharmacogenomics and
its role in shifting
medicine towards
personalized treatments
by considering
individual genetic
differences in drug response.
We will discuss how advances in
genomics enable tailored
drug selection and dosing,
the importance of
genetic variants and
biomarkers and examples of
pharmacogenomics in
clinical practice.
The presentation
will also address
current challenges,
including equity,
ethical considerations, and
implementation barriers
that impact the integration of
pharmacogenomics
into routine care.
Ultimately, we'll highlight
how personalized medicine is
reshaping health care with
the promise of safer and
more effective therapies.
We will explore pharmacogenomics
and its impact on
personalized medicine.
Pharmacogenomics studies how
a person's genetic makeup
influences their
response to medications,
shifting from a one size fits
all model to therapies
tailored to each
patient's genetics.
This recognizes that
genetic diversity
affects drug efficacy
and adverse effects.
Advances in genomic
technology now allow
clinicians to better integrate
genetics into decision making,
aiming to optimize drug choice
and dosing for each patient.
Drug response varies
widely between
individuals with
genetic differences
playing a significant role.
Genes encoding drug
metabolizing enzymes,
transporters and targets
often show notable
polymorphisms.
For instance, variations in
cytochrome P 450 enzymes,