[Next generation biobanking: the challenge of data].

Area of Science:

• Biomedical Research
• Genomics
• Proteomics
• Molecular Imaging
• Bioinformatics

Background:

• Human biological samples are vital for understanding disease mechanisms and outcomes.
• Advancements in genomics, proteomics, and molecular imaging have accelerated disease research.
• Biomarker discovery has significantly progressed, enabling personalized medicine.

Purpose of the Study:

• To highlight the importance of biological samples in biomedical research.
• To discuss the role of technological advancements in personalized medicine.
• To address the need for integrated data infrastructures and optimized biobank operations.

Main Methods:

• Leveraging human biological samples for multi-omics analyses (genomics, proteomics).
• Utilizing molecular imaging techniques for in-depth physiological insights.
• Developing bioinformatics pipelines for complex data integration and analysis.

Main Results:

• Significant progress in identifying physiopathological factors of diseases.
• Enhanced biomarker discovery leading to personalized medicine approaches.
• Demonstrated the critical need for advanced data infrastructures.

Conclusions:

• Integrated infrastructures and optimized biobank organization are essential for future research.
• Novel access and data exchange rules are required for biological materials.
• Interdisciplinary collaboration is key to harnessing the full potential of biological samples and data.