Samta Shukla
@samtathinks.bsky.social
Director of AI & Data Science @ BCBS MN | Transforming healthcare, one reimbursement at a time | Building cutting-edge responsible AI solutions for a mission driven non-profit | Ex CVS Health | PhD in CS | RPI & IISc Alum | Views my own
Reposted by Samta Shukla
A lot of things suck in this lifetime, but I remember when the thought of this was incomprehensible. This is beautiful.
5th person to be cured of HIV
“Today, researchers announced the Dusseldorf patient still has no detectable virus in his body, even after stopping his HIV medication four years ago.”
“Today, researchers announced the Dusseldorf patient still has no detectable virus in his body, even after stopping his HIV medication four years ago.”
5th person confirmed to be cured of HIV
Researchers are announcing that a 53-year-old man in Germany has been cured of HIV.
abcnews.go.com
December 11, 2024 at 7:13 PM
A lot of things suck in this lifetime, but I remember when the thought of this was incomprehensible. This is beautiful.
Reposted by Samta Shukla
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Folks are asking for resources for learning about causal inference.
Here is a comprehensive reading list since no one address all issues —
What is causality?
When is a causal relationship is knowable?
How to infer causal relationships given from noisy and limited data?
Folks are asking for resources for learning about causal inference.
Here is a comprehensive reading list since no one address all issues —
What is causality?
When is a causal relationship is knowable?
How to infer causal relationships given from noisy and limited data?
January 7, 2018 at 10:17 PM
0/
Folks are asking for resources for learning about causal inference.
Here is a comprehensive reading list since no one address all issues —
What is causality?
When is a causal relationship is knowable?
How to infer causal relationships given from noisy and limited data?
Folks are asking for resources for learning about causal inference.
Here is a comprehensive reading list since no one address all issues —
What is causality?
When is a causal relationship is knowable?
How to infer causal relationships given from noisy and limited data?