Scientifically Proven Clinical Studies

Our ingredient grades are backed by over 1,078,000 peer-reviewed clinical studies from unbiased third parties including universities, medical associations, and healthcare practitioners.

1,078,000+ Studies

Every ingredient grade is derived from rigorous peer-reviewed clinical research dating back to 1991.

Evidence-Based

Medical Results & Clinical Evidence

Medical researchers analyzing clinical studies and food science data for evidence-based nutrition recommendations

There are over 1,078,000 clinical studies dating back to 1991 for consideration. Every ingredient grade is backed by peer-reviewed clinical studies conducted by unbiased third parties including researchers, colleges, universities, medical associations, hospitals, physicians, scientists, pharmacists, and other healthcare practitioners.

Research Database
1.07M+
Clinical Studies
Peer-reviewed research from 1991 to present
100%
Unbiased Sources
Independent third-party research institutions
30+
Study Years
Decades of accumulated medical evidence

Probability-Based Grading System

The grade assigned to an ingredient represents the probability that such ingredient will have a positive or negative effect on a large cohort of randomly selected people based upon the findings of the relevant clinical study.

Important: There are no guarantees as to the effectiveness of an individual ingredient in any given person. Individual results may vary based on personal health conditions, genetics, and lifestyle factors.

Statistical analysis and probability modeling for ingredient efficacy grading based on clinical research outcomes

Our Study Evaluation Criteria

In determining an ingredient grade for an individual condition, our reviewers take into consideration seven critical factors to ensure the highest quality of evidence-based recommendations.

A)

Study Outcome

Positive, negative, or neutral results and their statistical significance

B)

Study Duration

Length of the study period and follow-up assessments

C)

Participant Size

Number of participants to ensure statistical power

D)

Blinding Method

Whether the study was double or triple-blind

E)

Researcher Credentials

Qualifications and expertise of conducting researchers

F)

Funding Source

How and by whom the study was funded

G)

Conflicts of Interest

Any potential biases or conflicts among participants

Patented Efficacy Engine®

Our revolutionary AI-powered system algorithmically calculates product grades by evaluating individual ingredient efficacy in relation to each disease state and condition goal.

Artificial intelligence and machine learning algorithms processing clinical data for the patented Efficacy Engine system
PATENTED TECHNOLOGY

The calculation of product grades are algorithmically derived using our patented Efficacy Engine® which evaluates individual ingredient efficacy in relation to each disease state and condition goal and uses AI to compute net product efficacy.

How It Works

Critical Quality Standard

ANY negative ingredient grade (D, E, F) results in a "NO" product grade, ensuring only the highest quality recommendations reach our users.

Evidence-Based Science

Access Our Research Database

Explore the clinical studies behind every ingredient grade and discover the science that powers our recommendations.