Powering Precision Medicine via Causal AI
Causalis is seeking to address a global challenge in chronic conditions treatment: finding the optimal balance between efficacy and tolerance in the treatment of patients prior to starting the treatment. Our team is developing a robust Causal AI platform. Our causal AI platform can analyze and discover the causal & effects relationships between individual clinical, lifestyle, and omics data.
"Deep learning is good at finding patterns in realms of data, but can't explain WHY they're connected"
In our initial offering, we are developing a platform that will allow clinicians to make a decision hand-in-hand with patients, taking into consideration the patient's prioritization regarding life expectancy and adverse events. We are a group of multi-disciplinary individuals with diverse backgrounds, collaborating with leading medical centers and data providers globally, to further develop our offering.
Mentors & Advisors
We are part of the first cohort of the StarFinder Lab program by Roche and a aMoon
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