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Related Concept Videos

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Body:In certain scenarios, in vitro dissolution tests can replace in vivo bioequivalence studies. This is particularly true when a drug product, though available in varying strengths, maintains proportional similarity in its active and inactive ingredients. In such cases, the need for in vivo bioequivalence studies for lower strength variants may be waived, provided dissolution tests and in vivo studies on the highest strength yield satisfactory results.Bioequivalence can be indicated through...
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Recommendations for biomarker data collection in clinical trials by longevity biotechnology companies.

Chiara M S Herzog1,2, Jesse R Poganik3, Nicola Boekstein4

  • 1Department of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, Faculty of Medicine and Life Sciences, King's College London, London, UK.

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Summary

Standardizing biomarker data collection in aging research is crucial for longevity biotechnology companies. Implementing best practices ensures high-quality data for clinical trials and advances geroscience.

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Area of Science:

  • Biomarkers of aging
  • Geroscience
  • Longevity biotechnology

Background:

  • Biomarkers of aging are vital for geroscience clinical trials, aiding in participant stratification, intervention prioritization, and response monitoring.
  • Longevity biotechnology companies (LBCs) are increasingly launching clinical trials, necessitating standardized data collection for aging biomarkers.
  • Establishing best practices ensures data reusability and supports validation and benchmarking efforts.

Purpose of the Study:

  • To propose recommendations for collecting biomarker of aging data in clinical trials.
  • To facilitate the alignment of longevity biotechnology companies on shared tools and data collection standards.
  • To enhance the quality and utility of data generated from geroscience clinical trials.

Main Methods:

  • The study proposes a set of recommendations for data collection practices.
  • Focuses on aligning practices for biomarker of aging data within longevity biotechnology clinical trials.
  • Emphasizes pre-competitive collaboration on shared tools for data reuse.

Main Results:

  • Adoption of these recommendations will enable LBCs to generate and utilize superior data from their clinical trials.
  • The proposed standards will benefit the broader geroscience field by ensuring data quality and consistency.
  • Minimal additional effort is required for LBCs to implement these beneficial practices.

Conclusions:

  • Implementing standardized data collection for biomarkers of aging is essential for advancing geroscience.
  • These recommendations will empower longevity biotechnology companies to maximize the value of their clinical trial data.
  • Widespread adoption will foster collaboration and accelerate progress in aging research.