In this webinar, experts explore how high-quality biospecimens, longitudinal data, and regulatory rigor drive the future of biomarker discovery and clinical diagnostics.

The Critical Role of Specimen Quality, Longitudinality & Data Depth: An Alzheimer’s Use Case Example

Cathie Miller, PhD
Senior Director of Product Management, BioIVT

Accurate research relies on the quality and relevance of biospecimens that are utilized. Using Alzheimer’s disease (AD) as an example, Dr. Miller will discuss how a foundation of high-quality, rigorously characterized biospecimens are building the future of AD diagnostics.

The current AD diagnostic revolution relies on accessible blood-based biomarkers like pTau217 and pTau181 to bridge the global detection gap. However, valid clinical implementation demands more than just new assays. Success hinges on three pillars: pre-analytical rigor to ensure biomarker stability, longitudinal tracking to map disease progression, and comprehensive metadata to address health disparities.

Progress can be accelerated by integrating matched plasma-CSF sets and multi-timepoint collections that track donors over years. Furthermore, ethnically diverse cohorts and strictly controlled raw materials enable researchers to harmonize assays, validate clinical cutoffs, and ensure diagnostics work for all populations. These specialized resources provide the essential infrastructure to transform promising biomarkers into widely available diagnostic tools.

Sample Expertise at the Service of Research Projects: Scientific Consistency, Regulatory Rigor, and Analytical Performance

Pauline Mespoulhé, MSc
Biobank Manager, France Tissue Bank

Research success hinges on more than a strong hypothesis; it requires precise alignment between your scientific objective and specimen selection long before analysis begins. This webinar explores how to optimize outcomes by matching sample types, from FFPE blocks to digital images, with their ideal applications, while navigating the “expertise ecosystem” of ISO 15189 standards, regulatory compliance, and longitudinal data integration. Through practical AI and biomarker case studies, we demonstrate that a high-quality sample is not just biological material, but the essential scientific, regulatory, and strategic foundation of your entire project.

Key Topics:

• Master how to identify and control pre-analytical variables and select the specific sample types best suited to drive high-quality research outcomes.


• Evaluate the critical role of longitudinal tracking, clinical data, and demographic diversity in ensuring scientifically robust and representative results.


• Navigate the complex regulatory, ethical, and expertise-driven requirements essential for the responsible procurement and provision of human biological samples.


• Assess how strategic sample selection directly influences the overall quality, reproducibility, and ultimate success of scientific projects.