
Participant selection can be an important part of achieving consistent outcomes across study population. Phenotype-based recruitment, for example, is one strategy that can help achieve clearer results compared to more heterogeneous populations.
Bridging Ayurveda and modern science to build powerful, compliant product claims.
Helping brands turn mechanistic insights into market-ready evidence.
Sachin brings over two decades of experience across medical practice, nutraceutical innovation, and clinical research to shape high-impact, MOA-driven study strategies. A medical doctor trained in Ayurveda, and having worked with global leaders such as Johnson & Johnson, Pfizer, GSK, and Enovate Biolife, he offers a unique ability to connect traditional mechanisms with modern clinical requirements.
His core strengths include clinical trial strategy, operations, and regulatory medical writing, with a specialised focus on claim substantiation. At Vedic Lifesciences, he leads the claim substantiation function—helping brands translate science into credible, differentiated, and compliant product claims.

Participant selection can be an important part of achieving consistent outcomes across study population. Phenotype-based recruitment, for example, is one strategy that can help achieve clearer results compared to more heterogeneous populations.

Choosing design over proximity in clinical research. Why robust design, objective endpoints and clear biology outweigh geography in FDA and EMA reviews.

Competent and Reliable Scientific Evidence (CARSE) is a requirement set by the Federal Trade Commission, but how the agency defined "competent" is unclear. Let's unpack what makes a research team competent.

A long-held misconception that data generated in non-Caucasian populations has limited relevance for Caucasian markets continues to influence study protocol design despite the growing ethnic diversity of Western markets. However, trials designed around mechanism-driven end points do translate across populations, meaning that researchers can reliably study non-Caucasian populations, reducing cost and operational complexity of trials.

Best practices for clinical trial design to meet EFSA standards for scientific evidence. This means methodological honesty through clear hypotheses, proper controls, unbiased procedures, transparent reporting, and no manipulation of design or data to force an outcome.

How to design a study so that it passes EFSA's appraisal of biological relevance.