Wow. 1 in 3 hospitalized with #COVID19 gets readmitted to the hospital within a few months after discharge. ~48,000 UK patients.

Great animated lecture on #LongCovid by @Dr2NisreenAlwan, animated by @VickiGSP using info from UK @IndependentSage experts.

2) Furthermore, 1 in 8 of those who were discharged subsequently die. And many suffer long term ailments like heart disease, liver, kidney, diabetes, and more. This doesn’t even include less clinical critical cognitive effects. #LongCovid is real.
3) How common is #LongCovid overall? UK estimates 1 in 5 at 5 weeks and 1 in 10 have symptoms have even 12 weeks after initial #COVID19 diagnosis.

Lecture again by @Dr2NisreenAlwan
4) Let these numbers sink in... 1 in 10 at 12 weeks still have symptoms!
5) Here is the original study of the above lecture from few weeks ago. We need to prepare our healthcare system long term for the impact of millions with #LongCovid. This is gonna be larger than Gulf War Syndrome or long term health of 9/11 first responders. https://t.co/z6CP97qVLJ
6) Let’s also don’t forget #LongCovid lung damage. @BKendallMD https://t.co/l5uIq420cz
7) This lung 🫁 issue is very personal to me too. As a child, due to a tumor, I lost a large section of my right lung that had to be removed + removal of my baseball sized tumor. It made me want to study epidemiology at Hopkins & Harvard. Story: https://t.co/OOmCA2VhT8
8) The term #LongCovid is also more inclusive in acknowledging that their Covid illness isn’t recovering. Many who suffered illness after 9/11 & Gulf War had trouble getting recognition for many years until their syndromes were recognized—then allows building political support.

More from Eric Feigl-Ding

📍DOUBLE REINFECTIONS—wow, both PM Justin Trudeau and Biden’s HHS Secretary Becerra got *reinfected* with #COVID19–from same conference—➡️when did Becerra last get infected? May 18th 2022—not even a full month ago! Trudeau in Jan 2022. I worry it’s reinfections due to #BA5/#BA4.


2) #BA5 and #BA4 are worrisome. They are surging and they have high reinfection potential. Your past BA1/BA2 doesn’t substantially protect you from #Ba5/4


3) Excess deaths—the new #BA4 & #BA5 variants of the coronavirus are currently the **fastest growing** strains in the US & UK. ➡️They are exponentially replacing all other past strains. Learn from South Africa’s early warning signs and their excess deaths. #CovidIsNotOver #COVID


4) Is it a Paxlovid rebound for Becerra, as some are asking? Unclear—Paxlovid rebound usually only happens at day 10-14 that we know of and have data. The FDA says it’s 1-2% rebound but I counted 12% from this Pfizer graph submitted to FDA.


5) and yes, #ba5 / #BA4 are very problematic. they are 2x more resistant than even BA2 for neutralizing the virus compared to those who had breakthrough reinfections from older Omicron.

More from All

How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (
https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)

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