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HowTechnology Can Help Defeat HIV
Kyle Smith
Significant progress in treatment and prevention with
antiretroviral therapies
23.3 million people are onARV treatment
37....
Significant progress in treatment and prevention with antiretroviral therapies
23.3 million people are onARV treatment
37....
Significant progress in treatment and prevention with antiretroviral therapies
23.3 million people are onARV treatment
37....
Significant progress in treatment and prevention with antiretroviral therapies
23.3 million people are onARV treatment
37....
Logistics Management
Optimize distribution and management of inventory
• Understand how to best distribute inventory of pr...
Mobile Apps
Increase access to prevention and treatment in stigmatized communities
• Identify safe-space healthcare (inclu...
Big Data,Analytics, AI, ML
• A researcher will have access to significantly more data than they do
today
• Analytics tools...
Customer Relationship Management
Automate and scale communications to partners and donors
• Easily manage distribution of ...
Support the battle against the pandemic financially
Excellent options includeThe Global Fund, International AIDS Society, ...
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Dynamic Talks: "Applications of Big Data, Machine Learning and Artificial Intelligence in HIV Prevention, Treatment and Research" - Kyle Smith

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The global HIV pandemic continues, particularly in Sub-Saharan Africa. By 2025, 40 million people will be living with HIV. The global cost of the pandemic is in the hundreds of billions of dollars. Better treatment means more people are living longer and costs will increase. The use​ of existing and emerging technologies is rare. Research institutions don’t share data. Data that drive US HIV policy in 2019 are from 2017 because of the time it takes for the CDC and NIH to combine data. The are many opportunities for big data, ML and AI to have a ​broader and continued impact on the HIV crisis. The use of these technologies can identify new avenues of research and help prioritize and focus efforts. We are starting to see these technologies used more and more. Several case studies will be presented. For example, advances in HIV vaccine research by Dr. David Heckerman; research at UCLA and Georgetown University looking at how social media can be used for tracking and predicting the spread of the epidemic; and work by researchers to improve care utilization in South Carolina. The opportunities for commercial and non-profit ventures to apply existing and emerging technologies like big data, ML and AI are countless. Tech4HIV is an organization working to drive these efforts into the tech sector and provides opportunities and resources for engagement.

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Dynamic Talks: "Applications of Big Data, Machine Learning and Artificial Intelligence in HIV Prevention, Treatment and Research" - Kyle Smith

  1. 1. HowTechnology Can Help Defeat HIV Kyle Smith
  2. 2. Significant progress in treatment and prevention with antiretroviral therapies 23.3 million people are onARV treatment 37.9 million people are living with HIV http://aidsinfo.unaids.org/ State of the HIV Pandemic andTech Response
  3. 3. Significant progress in treatment and prevention with antiretroviral therapies 23.3 million people are onARV treatment 37.9 million people are living with HIV 1.7 million people became newly-infected with HIV in 2018 Nearly half of new cases were from Sub-SaharanAfrica Stigma continues to be a key deterrent to treatment and prevention 8.1 million people don’t know they are living with HIV http://aidsinfo.unaids.org/ State of the HIV Pandemic andTech Response
  4. 4. Significant progress in treatment and prevention with antiretroviral therapies 23.3 million people are onARV treatment 37.9 million people are living with HIV 1.7 million people became newly-infected with HIV in 2018 Nearly half of new cases were from Sub-SaharanAfrica Stigma continues to be a key deterrent to treatment and prevention 8.1 million people don’t know they are living with HIV Technology has driven some of the most important breakthroughs in biomed research Little attention has focused on improving delivery and impact of these advances Existing and emerging technology solutions will have significant impact when implemented more broadly, collaboratively, and at scale http://aidsinfo.unaids.org/ State of the HIV Pandemic andTech Response
  5. 5. Significant progress in treatment and prevention with antiretroviral therapies 23.3 million people are onARV treatment 37.9 million people are living with HIV 1.7 million people became newly-infected with HIV in 2018 Nearly half of new cases were from Sub-SaharanAfrica Stigma continues to be a key deterrent to treatment and prevention 8.1 million people don’t know they are living with HIV Technology has driven some of the most important breakthroughs in biomed research Little attention has focused on improving delivery and impact of these advances Existing and emerging technology solutions will have significant impact when implemented more broadly, collaboratively, and at scale http://aidsinfo.unaids.org/ State of the HIV Pandemic andTech Response The search for a cure and a vaccine continues.
  6. 6. Logistics Management Optimize distribution and management of inventory • Understand how to best distribute inventory of prevention and treatment medications (or physical inventory of any type) • Optimize cost of distribution Expected Outcomes: Improve access to and usage of prevention and treatment therapies Reduction in wasted inventory Decrease cost of distribution
  7. 7. Mobile Apps Increase access to prevention and treatment in stigmatized communities • Identify safe-space healthcare (including mental health) providers • Locate local resources and services • Facilitate access to reliable information about prevention and treatment Expected Outcomes: Improve access to and usage of PrEP Increase rate of testing More people receiving treatment Reduce time in identifying and treating new cases
  8. 8. Big Data,Analytics, AI, ML • A researcher will have access to significantly more data than they do today • Analytics tools will enable deeper and more insightful analysis of data • Predictive modeling technologies will help prioritize • ML and AI could lead to more significant breakthroughs Expected Outcomes: Accelerate discoveries and breakthroughs Identify new avenues of research Bring attention to the most promising
  9. 9. Customer Relationship Management Automate and scale communications to partners and donors • Easily manage distribution of outreach materials, newsletters, etc. • Manage donors and automate campaigns to maintain engagement ExpectedOutcomes: Expand donor base Increase in average annual donor contribution Broader distribution of information
  10. 10. Support the battle against the pandemic financially Excellent options includeThe Global Fund, International AIDS Society, and UNAIDS Make the most with employer match Just once right now helps impact the lives of millions Call to Action Join the Tech4HIV effort We need data scientists, ML and AI experts, and every other tech role to join us in bringing existing and emerging technologies to bear against HIV Evangelize theTech4HIV effort Sponsor a research organization or NGO/nonprofit through use of your software Partner with us to produce case studies Learn more at http://tech4hiv.org/techsupport

The global HIV pandemic continues, particularly in Sub-Saharan Africa. By 2025, 40 million people will be living with HIV. The global cost of the pandemic is in the hundreds of billions of dollars. Better treatment means more people are living longer and costs will increase. The use​ of existing and emerging technologies is rare. Research institutions don’t share data. Data that drive US HIV policy in 2019 are from 2017 because of the time it takes for the CDC and NIH to combine data. The are many opportunities for big data, ML and AI to have a ​broader and continued impact on the HIV crisis. The use of these technologies can identify new avenues of research and help prioritize and focus efforts. We are starting to see these technologies used more and more. Several case studies will be presented. For example, advances in HIV vaccine research by Dr. David Heckerman; research at UCLA and Georgetown University looking at how social media can be used for tracking and predicting the spread of the epidemic; and work by researchers to improve care utilization in South Carolina. The opportunities for commercial and non-profit ventures to apply existing and emerging technologies like big data, ML and AI are countless. Tech4HIV is an organization working to drive these efforts into the tech sector and provides opportunities and resources for engagement.

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