Way back in 2002, my dad’s physicians missed a medical anomaly
Which if flagged earlier, it might have given him more years
It wasn’t intentional but a product of how our burgeoning healthcare systems are set up – not always optimised for patient enablement
Tech could help with that
And that is why, of all the use-cases of Gen AI, the one I would put my money on and passionate to learn more about is Healthcare
As a Boston Consulting Group (BCG) paper called out, “Generative AI won’t replace the doctor-patient relationship. But it will make doctors—along with pharmaceutical companies, med-techs, and other health care organizations—even better at what they do”
The speaker highlights the use-case of how it took 40 years to develop a drug for Tuberculosis – why? “Because it wasn’t a disease in the priority markets”
“With AI you could de-risk and improve the development cycles…. Which means you will bring the right products to the right people much more quickly than before”
Pharma Companies use AI to –
#Accelerate the process of generating new protein and drug molecules by 10X
#Reduce time spent on admin processes by 50%
Check out the paper in comments around the other use cases across healthcare
Have you come across a sector or use case leveraging GenAI for good?
Paper here
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