Personalized Medicine
Personalized Medicine - Related Videos
02:50
Combination Therapies and Personalized Medicine
0 Views •
2021
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...
02:50
Combination Therapies and Personalized Medicine
0 Views •
2023
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...
14:20
Polymalic Acid-based Nano Biopolymers for Targeting of Multiple Tumor Markers: An Opportunity for Personalized Medicine?
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Cited by 23 •
2014
An example of a nano drug based on polymalic acid is presented towards the rational design of personalized medicine that is applicable to cancer. It describes the synthesis of a nano drug to treat Her2-positive human breast cancer in a nude mouse.
06:42
Optimization of Breast Biopsy and Mastectomy Sample Collection Procedures for Biobanking, Personalized Medicine, and Research Applications
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2025
This article presents a detailed protocol for collecting breast cancer samples, designed to optimize their utility for biobanking, personalized medicine, and other research applications. The workflow for sample collection, including breast biopsy and mastectomy procedures, is described in detail, focusing on minimizing tissue damage and maximizing sample quality.
06:14
Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine
0 Views •
2025
Here, we present a detailed protocol for automated tumor xenograft implantation into zebrafish larvae using a state-of-the-art robotic injection system. Furthermore, we present injection videos and validation data demonstrating the system's successful performance.
FAQs
Genetic variation can indicate that people differ in disease risk or in how they respond to an intervention. Molecular biomarkers add measurable information about disease-related biology, helping researchers and healthcare professionals identify relevant patient subgroups. Considering both types of evidence can support selection of a treatment for individuals whose biological features suggest a greater likelihood of benefit.
Patient classification organizes people according to shared disease mechanisms, biomarkers, or expected treatment responses rather than treating every case as biologically identical. This organization helps researchers investigate why a disease develops differently among individuals and provides a framework for evaluating which interventions are most appropriate for particular molecular or clinical profiles. It also supports more focused study of complex diseases.
Lifestyle and medical history complement genetic and molecular information by showing how a person's biology operates within a broader clinical context. These factors may help distinguish individuals who share a molecular feature but differ in disease risk or expected response. Including them makes patient assessment more comprehensive and can improve the relevance of prevention, diagnosis, and treatment decisions.
Unlike a uniform treatment strategy, personalized medicine accounts for biological and clinical differences between people. The goal is not simply to offer the same intervention to everyone, but to match prevention, diagnosis, or treatment decisions with features associated with disease risk and therapeutic response. This comparison explains why patient-specific evidence is especially valuable in complex diseases.
The analysis can bring together genetic variation, molecular biomarkers, lifestyle, medical history, and other clinical characteristics. These data are considered jointly to identify differences in disease risk, classify patients, and estimate how an individual may respond to an intervention. Integrating several information types helps connect biological measurements with practical decisions about prevention, diagnosis, or treatment.
Targeted therapies are selected by looking for specific molecular features associated with a disease or with likely treatment response. Patients whose profiles contain the relevant features can be grouped for interventions designed around those characteristics. In biology research, this strategy links molecular disease mechanisms to therapeutic choices and supports evaluation of treatments in more precisely defined patient groups.
It gives biology research a way to examine why disease risk and treatment response vary among individuals. By relating genetic variation, biomarkers, clinical characteristics, and treatment responses, investigators can study disease mechanisms and construct meaningful patient classifications. These analyses also support the development and assessment of targeted therapies, making personalized medicine relevant to research on complex diseases.