Key points from article :
Spring Discovery bring together biology, machine learning, and lab automation to accelerate the discovery of therapies for ageing.
Announced $18 million in Series A funding.
There are two problems to run ageing experiments:
1. It takes a long time for us to age.
2. What to measure to define an experiment’s success or failure.
Ageing research has surrounded with incredible, disease-fighting potential, but we’re struggling to translate that potential into therapies.
Biologists and engineers and a new, machine learning-driven experimental approach to solve problem 2 and translate ageing research.
To generate better understanding of changes in cells and tissues with ageing and find therapies to reverse those changes.
"We’ve seen in our first year of coupling our computational tools with wet lab ageing experiments," - Ben Kamens, CEO of Spring Discovery.
Spring’s mission is very long-term: dramatically reducing disease by accelerating the discovery of therapies for ageing.
