What could be a better start to @IDMOD_ORG Annual Symposium at @gatesfoundation than Mahatma Gandhi's quote - "What you do for me, without me, is against me."
Crux of all global health, all development agenda.
@blprnt talks about transition from Big Data to Large Models. Where is data coming from? Who truly owns it?
"Demographic Identifiable Information is more dangerous than personal identifiable information. It's the fuel in the tank of AI" - @nattyray11
How IBM subsidiary's data tools contributed to Holocaust execution.
@komminist discusses how AI models have changed everything from drug development for #NTDs to flood mapping. But models are commodities, the underlying tools matter more. How do we bring AI tools to health in LMICs? For India, I see 1, 2 & 5 as clear barriers.
We used sustained cost-effectiveness of Healthy Activity Program (HAP) and Counselling for Alcohol Problems (CAP) for national scale up estimations.
Here's how the annual scale up costs to health system & to the broader society look like under assumptions to cover unmet need or the total need based on prevalence---
One more attack in thousands others. The problem is systemic. So the solution has to be systemic. In last 2 years, I have been part of research, advocacy, high level meetings, everything to end violence against healthcare workers in #india. Resources 👇 #MedTwitter