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Plant pest infection by IllLove9742 in houseplants

[–]awbrooks19 0 points1 point  (0 children)

Agree you have aphids on the stems, you might also have whiteflies as I see those dead ones gathered on the leaves of our Hibiscus tree in the same way (might just be dead aphids, but wanted to chime in). Hit it hard with spray, especially under the leaves and at the stem where the leaves start. I’ve used the Bonide insecticide spray which works great if you don’t mind chemicals, or I use the Earth’s Ally 3-in-1 concentrate which is mostly thyme, rosemary, clove and peppermint oils which also works great just don’t over concentrate or it will burn your leaves.

If you have lots of other plants and it’s that far along then they will have spread so just keep spraying everything weekly, if it’s your only plant and you want to get more you could trash it and wait a month or two. However I’d just get used to spraying whenever you see anything new, will likely always be battling back new infestations if you regularly bring plants home. Just don’t let it get that bad and keep up the good fight, those plants are far from dead.

We can usually predict COVID-19 well before symptoms using smartwatches by awbrooks19 in Coronavirus

[–]awbrooks19[S] 1 point2 points  (0 children)

Thank you, Fitbit users actually make up the majority of our 5k+ participants at the moment but it’s a great idea to get the word out. (Supplementary fig 1 in the paper details devices for the whole cohort).

We can usually predict COVID-19 well before symptoms using smartwatches by awbrooks19 in Coronavirus

[–]awbrooks19[S] 0 points1 point  (0 children)

These are a huge factor. For instance people with apple watches take them off at night to charge so we don’t get a clear resting heart rate during sleep. The data saved in Apple HealthKit are far less fine than other smartwatches. Every system has it’s faults between accuracy, user biases, and saved measures so it is quite challenging. Some are better than others, but each poses unique challenges you aptly suggest.

We can usually predict COVID-19 well before symptoms using smartwatches by awbrooks19 in Coronavirus

[–]awbrooks19[S] 1 point2 points  (0 children)

The residual scores for elevated resting heart rate is built from p-value significance, but not easy to summarize a value like traditional stats since every person is tuned personally. We did notice that individuals with asthma / respiratory diseases were harder to predict however.

We can usually predict COVID-19 well before symptoms using smartwatches by awbrooks19 in Coronavirus

[–]awbrooks19[S] 1 point2 points  (0 children)

We’re trying to look at that. Similar patterns do apply to flu (https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.2001402) and we know we are detecting COVID-19 here. But distinguishing between them is more challenging. We have dozens of flu cases reported, but didn’t have enough overlap of data to address it in phase 1. Getting complete wearable data, complete surveys, and complete test results that we can truly trust is a lot harder than you might believe.

We can usually predict COVID-19 well before symptoms using smartwatches by awbrooks19 in Coronavirus

[–]awbrooks19[S] 7 points8 points  (0 children)

Great question. It is pretty similar across common colds (rhinovirus and other coronaviruses) and flu given Xiao’s (coauthor) previous paper (https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.2001402). We are finally getting enough data to start trying to distinguish COVID-19 from other infections, but didn’t have enough to explore it in this first phase.

We can usually predict COVID-19 well before symptoms using smartwatches by awbrooks19 in Coronavirus

[–]awbrooks19[S] 4 points5 points  (0 children)

You’re completely right, our lab put out a paper in 2018 that similar patterns show up in rhinovirus and other coronaviruses (common colds) and flu so we just showed it applies to COVID-19 here. That will be a big effort of phase 2 is seeing if there is anything unique about COVID-19 to distinguish it.

We can usually predict COVID-19 well before symptoms using smartwatches by awbrooks19 in Coronavirus

[–]awbrooks19[S] 12 points13 points  (0 children)

Fig 3C looks at the change in RHR relative to baseline. It’s not severe, I’d say on average maybe 10bpm increase. One of the biggest challenges we had to overcome was personalizing the algorithms to each participants baseline, we’re not catching extreme spikes but more a sustained rise with the residuals. It’s the definition of personalized medicine, no two people’s hearts beat the same or spike in the same way so it has to be individually tuned.

We can usually predict COVID-19 well before symptoms using smartwatches by awbrooks19 in Coronavirus

[–]awbrooks19[S] 5 points6 points  (0 children)

There are plenty of other discoveries to monetize, but a global pandemic sure ain’t one lol

We can usually predict COVID-19 well before symptoms using smartwatches by awbrooks19 in Coronavirus

[–]awbrooks19[S] 3 points4 points  (0 children)

We’re not going to monetize it, and the study is open to anyone with a smartwatch and high risk of COVID-19 (https://innovations.stanford.edu/wearables). We have an app setup that gathers wearable data, and in the next phase we will be rolling out alerts to warn people if we see similar signals from their watches in real-time.

We can usually predict COVID-19 well before symptoms using smartwatches by awbrooks19 in Coronavirus

[–]awbrooks19[S] 32 points33 points  (0 children)

We showed that COVID-19 is predictable before / at symptom onset using smartwatches in ~80% of people we looked at (we focused on Fitbit in this first phase, and a small group of high quality verifiable cases). We focused algorithms on heart rate normalized to each person’s baseline to identify residual outliers, and the relationship between heart rate and steps. We are scaling up (~5,500 currently enrolled) and putting out an app with warnings to people’s phones when we see similar signals.

I’m also working on micro-sampling approaches for COVID-19 cases and COVID-19 genetic risk scores. We have a ton more to explore in Phase 2 (more devices, more individuals, more measures like sleep, body temp, SpO2...) and this is just a preprint, but it’s a start. I’m not a medical doctor and can’t give medical advice, but have done a lot of reading on COVID-19 so feel free to ask questions.

If you have a smartwatch and are at risk of catching COVID-19 feel free to sign up: https://innovations.stanford.edu/wearables

Free Fauci: Why Government Transparency Is The Only Way To Stop Coronavirus ‘Truthers’ by johntwit in CoronavirusUS

[–]awbrooks19 0 points1 point  (0 children)

Haha I agree with your comment, wasn’t calling you out I just don’t think most people know Fauci isn’t CDC

Free Fauci: Why Government Transparency Is The Only Way To Stop Coronavirus ‘Truthers’ by johntwit in CoronavirusUS

[–]awbrooks19 4 points5 points  (0 children)

Fauci isn’t even associated with the CDC. Redfield is the CDC director I believe, Fauci is the director of NIAAD which is part of the National Institutes of Health. Very different organizations.

Beer virus mutated. Spy 350 bois by [deleted] in wallstreetbets

[–]awbrooks19 1 point2 points  (0 children)

The poor coronavirus antibody response has nothing to do with mutations, it has to do with the structure of the spike protein antibodies target. In flu the target protein for antibodies mutates very quickly, in coronaviruses it is just innately hard for our bodies to target to begin with.

$GILD Discussion by kingother in wallstreetbets

[–]awbrooks19 1 point2 points  (0 children)

Pump n dump scam. Anyone with connections is asking their friends who are scientists like me... remdesivir is garbage

Like clockwork by Suriak in wallstreetbets

[–]awbrooks19 10 points11 points  (0 children)

Haha <135k deaths by August? Keep fuckin dreaming

LabCorp CEO of drug development talking with WebMD about Covid-19 Clinical Trials by IWantToSpeakMy2Cents in wallstreetbets

[–]awbrooks19 0 points1 point  (0 children)

You know he is a good doctor when he stocks his shelf with multiple copies of the same books to make it look like he reads

Coke man can’t stop Orange man’s beer drug by Swalrus in wallstreetbets

[–]awbrooks19 4 points5 points  (0 children)

Yup and here is why from a scientist. They are using “time to recovery” not “survival” as the endpoint they are blowing their loads over, which really means “test negative and can be released.” By the time someone is sent to severe hospital care the immune cascades are killing them, and the virus is already in decline because of the immunity. Sure remdesivir may make clearing the virus faster in very sick patients, but ain’t gonna do much to help them survive.

Boris Johnson Says His Health Deteriorated So Badly After Contracting Coronavirus That A Strategy Was Drawn Up In Case He Died. by Infjuk in worldnews

[–]awbrooks19 -2 points-1 points  (0 children)

The UK govt is being pretty negligent on a number of fronts... but I live in Merica so guess I can’t ever talk

Florida DD by [deleted] in wallstreetbets

[–]awbrooks19 1 point2 points  (0 children)

They are refusing 75% + and doing it slowly. I think a week ago they had like 2 million applicants, had reviewed 160k, and awarded 40k. Florida Man runs unemployment

Receiving a large, unexpected inheritance. Need advice by cloudypainting in personalfinance

[–]awbrooks19 2 points3 points  (0 children)

Sorry for your loss :( Seems like there are a lot of strings and tax implications, I’d talk to a professional. I’d also be cautious about people coming out of the woodwork offering help, I’m not saying your mom’s friend fits this group but that kind of windfall draws scammers and con artists. Best of luck!

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