GRAIL’s mission is to detect cancer early, when it can be cured

Why early matters

Diagnosing cancer early results in significantly higher survival rates compared to late-stage diagnosis.

However, effective screening only exists for a few cancer types, and most cancer is detected in later stages, when survival rates are much lower.

Late-Stage
Survival Rate

 

 

 

 

 

 

 

 

 

 

1X

Early-Stage
Survival Rate

 

 

 

 

 

 

 

 

 

 

5 - 10X higher

Cho, H, Mariotto, AB, Schwartz, LM, et al. J Natl Cancer Inst Monogr. 2014 (49),187–197.

The magnitude of our challenge

Human biology is complex, and research continues to reveal that the underlying mechanisms of cancer are even more diverse and elusive than previously understood—making early detection of cancer a challenge.

Extensive research suggests that cancer may be directly detectable with DNA shed by tumors into the bloodstream.

However, developing an effective early detection test that distinguishes between people with and without cancer is a “needle in a haystack” problem and requires harnessing data from hundreds of thousands of people. Together, this creates an unprecedented data challenge.

GRAIL’s approach

GRAIL aims to develop a blood test to detect cancer early before symptoms appear.

To achieve this, we will build intelligent models to surface clinically actionable insights from vast amounts of tumor genome data obtained through high-intensity sequencing.

Every step of the process will be fueled by clinical studies powered to validate hypotheses at unprecedented population scale.

Learn More


To achieve this, we will build intelligent models to surface clinically actionable insights from vast amounts of tumor genome data obtained through high-intensity sequencing.

Every step of the process will be fueled by clinical studies powered to validate hypotheses at unprecedented population scale.

Learn More


Where hope meets rigor

At GRAIL, we’re unrelenting in pursuit of our mission and will not stop until we find a better way. With the best talent in biology, clinical science, bioinformatics, deep learning, and engineering along with the passion of our leadership, our goal is to greatly decrease global cancer mortality.

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