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Check out our latest blog post on evaluating the medical knowledge of open LLMs!

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UNLOCK NEW POSSIBILITIES IN MEDICAL AI RESEARCH

MEDARC AIMS TO BUILD A PUBLIC COMMUNITY FOR CONTRIBUTIONS AND DEVELOP FOUNDATION
MODELS FOR MEDICAL AI RESEARCH.

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OUR APPROACH

We are developing novel methods and tools to tackle the grand challenges in
medical AI. We believe MedARC's approach is needed as a catalyst for progress.
In a partnership with other researchers and medical professionals, we will
design and launch projects that create large scale AI models for medicine, build
interdisciplinary teams to address clinical needs, share models and datasets,
publish results, establish best practices for reproducibility and transparency,
build a public community for contributions and collaborations, guide public
policies around AI development in medicine.

About Us


FEATURED PROJECTS

Projects

Real-time Reconstructions of Visual Perception from fMRI


Recent advances in machine learning and computational neuroscience now allow
neuroscientists to reconstruct visual perception from human brain activations,
with the caveat that such models are run offline and require large amounts of
training data to be collected from the same individual, rendering them
infeasible for clinical use.

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OUR TEAM

Leading an organization to build a community of collaborative research, industry
and government leaders. We have been working with major players in medicine and
healthcare, building research teams to address clinical needs.

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DR. TANISHQ MATHEW ABRAHAM

CHIEF EXECUTIVE OFFICER




DR. GRIFFIN ADAMS

HEAD OF CLINICAL NLP




DR. PAUL SCOTTI

HEAD OF NEUROIMAGING + AI


WE ARE GRATEFUL FOR THE SUPPORT.

While MedARC is an independent research organization, we can pursue our open
approach to medical AI research through the support of our partners.

Click here to learn more about our partners and team.





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