Naveen Rao

@NRaoMD

Senior Vice President, Health . Opinions are my own.

New York, USA
Vrijeme pridruživanja: rujan 2013.

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  1. proslijedio/la je Tweet

    Three weeks into 2020, our team reflects on how we can continue to create . For , SVP, Health Initiative, it’s about harnessing & for better health outcomes through Precision Public Health. Learn more:

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  2. 3. velj

    During this critical period, it's vital that we apply our best tools to monitor & study the coronavirus. We now have AI capabilities to generate real-time info that can help us understand the disease, identify at-risk communities, and target interventions.

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  3. 31. sij

    Fertility awareness is the first step towards informed decision making. Archana Rao

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  4. 29. sij

    Occupational and environmental health both drive overall health and well-being. A lack of data on these risks could be life-threatening for some. The better informed we are, the healthier we are.

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  5. 28. sij

    Food for thought from on building a much needed regulatory framework for ethics in data science:

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  6. 28. sij

    After a week at , I am energized by the interest in bringing the power of data science to tackle the world’s greatest health challenges. However, we must ensure that all people benefit equally from new technologies.

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  7. 23. sij

    We must ensure that data inequities do not exacerbate health inequities. That’s why I am thrilled about the relaunch of , a global movement of values-aligned partners to ensure that data helps to lift the many and not the few.

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  8. 21. sij

    Our health outcomes depend on a mosaic of conditions and factors. Everything from employment to climate change, water management to family size exerts influence. Glad to see this collection focus more attention on the impact of other sectors and the .

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  9. 10. sij

    We continue to place disproportionate focus on clinical rather than preventative health. We shouldn’t have to wait for someone to fall sick before they enter our health systems.

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  10. 3. sij

    As we adopt machine learning and predictive analytics for health, these technologies should empower all patients rather than widen the socio-economic and digital divides between them.

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  11. proslijedio/la je Tweet

    As 2019 draws to a close, speaks to about how we’re moving our history in public health forward into 2020. We're proud to work with partners such as and to use digital tools to increase health equity!

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  12. 23. pro 2019.

    Global inequality today is about more than income. 's report found that societal shifts in tech, education & climate are creating a new "great divergence." A lack of actionable data only exacerbates these imbalances & worsens suffering

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  13. proslijedio/la je Tweet
    19. pro 2019.

    My pick for the book of the year. Everything we think we know about health is wrong. Well: What we need to talk about when we talk about health.

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  14. 18. pro 2019.

    In Rajpur Madhya Pradesh, India. Learning community health from the Triple A’s (Asha, ANM & Anganwadi). Remain convinced data insights will save lives.

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  15. 16. pro 2019.

    . and the Government of India are leading the way with ambitious plans to bring to every corner of the country. At , we are proud to work with them to make a reality.

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  16. 13. pro 2019.

    I’m proud to see the Utkrisht Development Impact Bond’s focus on performance driving impact in maternal and child health in the field. We can save lives when multiple stakeholders agree and prioritize joint activities.

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  17. proslijedio/la je Tweet

    We have made the case for ethically, economically and politically. This , let's to harness modern data advances to reach everyone.

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  18. proslijedio/la je Tweet

    "Our ability to improve women’s health outcomes depends on our will to do so, as much as it depends on the health tools and services that we must make available to all women." Read more from our own . 📸:

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  19. 26. stu 2019.

    An insightful read on AI for global health. Health interventions in LMICs can be broadly divided into 3 important application areas: -AI-powered, low-cost tools for smartphones -Support for clinical decision-making -Mitigation of epidemic progression

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  20. 15. stu 2019.
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