Page 18 - MGMG Jan-June 2020 Final
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• Second, we bring two most important dimensions – deeper understanding of the patient and the
    drug-disease behaviors to further understand every patient in complete detail and then determine
    the optimal medical intervention for that patient.

• Third, our insights are delivered using precise individual scores (represented by survival and
    adverse events) with a detailed explanation of how individual dimensions contributed towards the
    score.

• Fourth, we learn. Our algorithms continuously take into account the real-time feed-back from
    caregivers and improvise the scores on a regular basis.

• Finally, by leveraging cutting-edge capabilities of AI and computing, we analyze any bit of
    relevant data (example: genetics, images, doctor notes, audio and videos, social media, healthcare
    records, pathology etc.) for unparalleled insights about diseases, their networks and the impact of
    interventions.

          Our Product -- The “CIBIL” Equivalent of Healthcare!

       • Suites of algorithms for detecting diseases and disease networks

       • Deliver precise “Quant” Scores to indicate propensity

• Our algorithms leverage cutting edge computational capabilities to
    understand disease networks at cellular and genetic levels

• We target all 3 key constituents of healthcare:       Provider Payers
     • Payers (commercial and government)
     • Life Sciences including CROs                                Life
     • Providers                                                Sciences

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Specific condition- Path results

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