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Related Concept Videos

Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu01:29

Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu

Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
Pharmacogenetics and Pharmacogenomics: Overview01:29

Pharmacogenetics and Pharmacogenomics: Overview

Pharmacogenetics and pharmacogenomics examine how genetic factors influence an individual's response to drugs. While pharmacogenetics focuses on the impact of specific genetic variants on drug effects, pharmacogenomics takes a broader approach, studying how genetic variation across populations contributes to differences in drug responses. These fields aim to explain why individuals may experience varying levels of efficacy or adverse reactions to the same medication.Variability in drug...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

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Related Experiment Video

Updated: Jun 1, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Bioinformatics challenges for personalized medicine.

Guy Haskin Fernald1, Emidio Capriotti, Roxana Daneshjou

  • 1Biomedical Informatics Training Program, Stanford University School of Medicine, Department of Bioengineering, Stanford University, Stanford, CA, USA.

Bioinformatics (Oxford, England)
|May 21, 2011
PubMed
Summary
This summary is machine-generated.

Advancements in genome sequencing necessitate new bioinformatics methods for personalized medicine. Key areas include data processing, variation interpretation, systems biology integration, and clinical translation.

Related Experiment Videos

Last Updated: Jun 1, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Area of Science:

  • Bioinformatics
  • Genomics
  • Personalized Medicine

Background:

  • The increasing availability of low-cost, full genome sequencing presents significant challenges for bioinformatics.
  • These challenges require the development of advanced computational and analytical methods.

Purpose of the Study:

  • To review recent developments in sequencing technologies and genome analysis.
  • To identify essential areas for methodological advancement in personalized medicine.

Main Methods:

  • Review of current sequencing technologies.
  • Analysis of emerging genome analysis methods.
  • Identification of key challenges in personalized medicine.

Main Results:

  • Personalized medicine requires new methods for processing large-scale genomic data.
  • Interpreting the functional impact of genomic variations is crucial.
  • Integrating diverse systems data is necessary to link genetic interactions with phenotypes.
  • Translating genomic discoveries into clinical practice remains a challenge.

Conclusions:

  • Significant advancements in bioinformatics are needed to fully leverage genomic data for personalized medicine.
  • Addressing data processing, interpretation, integration, and translation is key to realizing the potential of personalized medicine.