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Related Experiment Video

Updated: May 19, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Roadmap to personalized medicine.

Malak Qattan¹, Constantinos Demonacos, Marija Krstic-Demonacos

¹Marija Krstic-Demonacos, Faculty of Life Sciences, The University of Manchester, Manchester, UK.

Croatian Medical Journal

|August 23, 2012

Summary

Personalized medicine tailors treatments to individual patient needs, improving effectiveness and reducing adverse drug effects. Overcoming challenges requires advancements in data consistency, technology, education, and industry/legal reforms for widespread clinical adoption.

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Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

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Published on: April 11, 2016

Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

Automating Tumor Implantation in Zebrafish Larvae for Cancer Research and Medicine

Published on: September 19, 2025

Area of Science:

Translational medicine
Genomics and bioinformatics
Clinical pharmacology

Background:

Current "one drug fits all" approaches are often ineffective, particularly in cancer treatment where 75% of therapies fail.
The limitations of standardized treatments highlight the need for individualized patient care strategies.

Purpose of the Study:

To explore strategies for implementing personalized medicine in clinical practice.
To identify challenges and propose solutions for data consistency, technological integration, and educational reform.

Main Methods:

Discussion of approaches to enhance data consistency from basic research for medical application.
Highlighting the role of systems biology and computational approaches in overcoming scientific hurdles.
Addressing necessary changes in education, industry focus, and legal frameworks.

Main Results:

Personalized medicine offers potential for novel therapies, reduced adverse drug effects, and optimized patient treatments.
Advancements in technology and data analysis are crucial for realizing the benefits of individualized care.
Multifaceted changes are required, including educational shifts and industry/legal adaptations.

Conclusions:

Successful implementation of personalized medicine requires a collaborative effort from researchers, healthcare professionals, and policymakers.
A coordinated roadmap is essential for the safe and rapid transition to effective, individualized treatments.
Personalized medicine promises to revolutionize healthcare, leading to disease elimination and improved patient outcomes.