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Raza S

@RazaSN

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🩸Physician Fellow ∞ Transfusion ∞ Apheresis. Behavioral insights, data science, films, and rock climbing. More active on bsky

Toronto, Canada
Joined July 2020
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@RazaSN
Raza S
13 days
In this issue of @NEJMEvidence @jwjacobs12 and I interpret the recent individual-patient meta-analysis for RBC transfusion in myocardial infarction by Carson et al and make a case for nuanced interpretation Article:
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@RazaSN
Raza S
30 days
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@RazaSN
Raza S
1 month
@AaronGoodman33 I've been doing the math thing too. Really fun. Not motivated by physics in my case
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@RazaSN
Raza S
1 month
Should we eliminate leukocyte reduction for whole blood? It's an intriguing concept with some (mainly logistical) benefits In @AABB journal, my brilliant co-authors argue it's a bit premature, and removal of LR deserves deeper, empirical scrutiny
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@RazaSN
Raza S
2 months
Our correspondence with @Nature advocating that scholarly journals support direct link-sharing to @Bluesky amidst the exodus of many academic communities from X (formerly Twitter) @jwjacobs12 @path_brian @DrGSBooth1
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@RazaSN
Raza S
2 months
@kepano Sharing my .json for anyone who just wants to import it!
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@RazaSN
Raza S
2 months
@getjonwithit Knowing very little of the physics you mentioned but working with models in other areas: sometimes counterintuitive predictions of models turn out to be insightful ± true when tested. How do you think through what to test and discard? Feasibility, usefulness, other criterion? TY.
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@RazaSN
Raza S
2 months
@AnilMakam Different context
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@RazaSN
Raza S
2 months
How does a blood donation become a transfusable blood product? A new resource I helped develop for @CanadasLifeline provides an extensive walkthrough on the process of blood processing and delivery--for medical and curious non-medical folks #transfusion
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@RazaSN
Raza S
3 months
Applications and advantages of multi-agent AI over single-agents for healthcare use
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@RazaSN
Raza S
3 months
@tony_breu I would combine 3 with 8 and 9. I never want to see another red cell transfusion trial with a "placebo" arm which ignores iron deficiency, the most prevalent cause of anemia anywhere you look
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@RazaSN
Raza S
3 months
@graham74GC These GWAS-y studies can be quite tricky to interpret. I haven’t found a way to separate unexpected disease associations from quirks in billing codes or biases introduced at data collection. Still useful for generating hypotheses
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@RazaSN
Raza S
3 months
@iamlindachang @PNASNews Great paper. I came across this idea as the "McNamara Fallacy", good to see a rigorous demonstration of it, and intriguing theory of how it arises
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@RazaSN
Raza S
3 months
@AaronGoodman33 For me it’s less about disagreements and more about the increasingly dizzying irrelevance of algorithm and bot posts. I used to be able to block this out, now it’s the majority of what I am seeing. Not planning on leaving, the useful-information density has dropped though.
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@RazaSN
Raza S
3 months
@AdamRodmanMD @RichardLehman1 Fascinating! Adam, would you say based on these findings that the current best use of these untrained LLMs is simply to feed them straight facts rather than facts + clinical impressions?
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