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#prognosis — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #prognosis, aggregated by home.social.

  1. Celiac Disease and Hidden Dangers in Dining Out

    Howdy! It’s Miguel in New York. I have celiac disease and was recently “glutened” at a restaurant when the supposedly safe pizza dough was shaped on a…
    #dining #cooking #diet #food #Dining #ACADEMYOFNUTRITIONANDDIE #Apps #billionaires #business #cancer #education #free #Generic1st'CL'Future #industries #newyork #prognosis #ROCHEHOLDINGAG-GENUSSCHEIN
    diningandcooking.com/2377878/c

  2. europesays.com/uk/333972/ Integrated molecular and detailed anatomical profiling identifies a prognostically adverse subtype of posterior fossa meningiomas: high-risk copy number alterations are associated with midline predilection and predict poor prognosis | Acta Neuropathologica Communications #AnatomicalLocalization #CopyNumberAlterations #Genetic #Genetics #NNF2n #Neurology #Neurosciences #Pathology #PosteriorFossaMeningioma #Prognosis #Recurrence #Science #UK #UnitedKingdom

  3. Long-Term #Prognosis of Patients With #Myocarditis Attributed to #COVID19 #mRNA #Vaccination, #SARS-CoV-2 Infection, or Conventional Etiologies, JAMA: jamanetwork.com/journals/jama/

    Patients with postCOVID19 mRNA vaccination myocarditis, contrary to those with post–COVID19 myocarditis, show a lower freq of CV complications than those with conventional myocarditis at 18 mos. Affected patients, mainly healthy young men, may require medical management up to several months after hospital discharge.

  4. Locked in the zone ✨ Can't wait for my upcoming concerts to capture more passion & energy.

    Next concerts to photograph 📷:
    - #RobbyValentine at #Capsloc
    - Maier Meets Havelok at #CapslocCapelle
    - #Dordrecht #Metalfest at #Bibelot #Dordrecht
    - #March of the Black Horse at #Roosendaal
    - #Prognosis presents: #Obscura, #Hypno5e , #Persefone + more at #Effenaar , #Eindhoven

    Photo by: Vincent Dark
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    #sethpicturesmusic #sethabrikoos #metal #metalgirl #altgirl #concert #metalconcert

    🤘✌️

  5. Locked in the zone ✨ Can't wait for my upcoming concerts to capture more passion & energy.

    Next concerts to photograph 📷:
    - #RobbyValentine at #Capsloc
    - Maier Meets Havelok at #CapslocCapelle
    - #Dordrecht #Metalfest at #Bibelot #Dordrecht
    - #March of the Black Horse at #Roosendaal
    - #Prognosis presents: #Obscura, #Hypno5e , #Persefone + more at #Effenaar , #Eindhoven

    Photo by: Vincent Dark
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    #sethpicturesmusic #sethabrikoos #metal #metalgirl #altgirl #concert #metalconcert

    🤘✌️

  6. Locked in the zone ✨ Can't wait for my upcoming concerts to capture more passion & energy.

    Next concerts to photograph 📷:
    - #RobbyValentine at #Capsloc
    - Maier Meets Havelok at #CapslocCapelle
    - #Dordrecht #Metalfest at #Bibelot #Dordrecht
    - #March of the Black Horse at #Roosendaal
    - #Prognosis presents: #Obscura, #Hypno5e , #Persefone + more at #Effenaar , #Eindhoven

    Photo by: Vincent Dark
    .
    .
    .
    .
    .
    #sethpicturesmusic #sethabrikoos #metal #metalgirl #altgirl #concert #metalconcert

    🤘✌️

  7. Locked in the zone ✨ Can't wait for my upcoming concerts to capture more passion & energy.

    Next concerts to photograph 📷:
    - #RobbyValentine at #Capsloc
    - Maier Meets Havelok at #CapslocCapelle
    - #Dordrecht #Metalfest at #Bibelot #Dordrecht
    - #March of the Black Horse at #Roosendaal
    - #Prognosis presents: #Obscura, #Hypno5e , #Persefone + more at #Effenaar , #Eindhoven

    Photo by: Vincent Dark
    .
    .
    .
    .
    .
    #sethpicturesmusic #sethabrikoos #metal #metalgirl #altgirl #concert #metalconcert

    🤘✌️

  8. Diffusion tensor imaging‐based machine learning for IDH wild‐type glioblastoma stratification to reveal the biological underpinning of radiomic features. doi.org/10.1111/cns.14263 #BiologicalPathway #DiffusionTensorImaging #Glioblastoma #MachineLearning #Prognosis

  9. Diffusion tensor imaging‐based machine learning for IDH wild‐type glioblastoma stratification to reveal the biological underpinning of radiomic features. doi.org/10.1111/cns.14263

  10. Diffusion tensor imaging‐based machine learning for IDH wild‐type glioblastoma stratification to reveal the biological underpinning of radiomic features. doi.org/10.1111/cns.14263 #BiologicalPathway #DiffusionTensorImaging #Glioblastoma #MachineLearning #Prognosis

  11. Diffusion tensor imaging‐based machine learning for IDH wild‐type glioblastoma stratification to reveal the biological underpinning of radiomic features. doi.org/10.1111/cns.14263 #BiologicalPathway #DiffusionTensorImaging #Glioblastoma #MachineLearning #Prognosis

  12. Diffusion tensor imaging‐based machine learning for IDH wild‐type glioblastoma stratification to reveal the biological underpinning of radiomic features. doi.org/10.1111/cns.14263 #BiologicalPathway #DiffusionTensorImaging #Glioblastoma #MachineLearning #Prognosis

  13. For once, an #AI issue where I *can* speak with a certain amount of authority.

    I've been hearing "expert systems outperform human #diagnostics, so pretty soon human #physicians will be obsolete" for a few years now. It's closely akin to "#airliners fly themselves these days, so what do we need #pilots for?" In both cases, people are paying attention to the best-case scenario with no understanding of the *enormous* number of how many and various the worse cases really are.

    This is complicated by the fact that in most of #medicine (although not necessarily #emergency medicine, the author's specialty) and in nearly all of air travel, the best case is also the normal case. Most of the time, whatever is wrong with you can be diagnosed and treated. Almost all the time, when you get on a plane, you'll walk off at the other end of the trip as healthy as when you boarded. It's reasonable to expect those outcomes.

    Not-best and not-normal cases add up really fast.

    Without any false modesty whatsoever: as a #medic, I learned a truly impressive degree of clinical judgement. From the first moment I saw a patient, I had a pretty good idea of #diagnosis, #treatment, and #prognosis. (Sadly, if my initial call was "this one's not going to make it," I was almost always right. The exceptions kept me going.) I learned from the best—one of my mentors had learned *his* trade in rural Guatemala, where resources were terribly sparse and human judgement was the only line between life and death. He held back death for decades, and it came for him far too early. Gene Gibbs, RIP.

    I can't code that. Neither can anyone else, and if they tell you they can, they're lying.

    As a #researcher, I've done a fair amount of work in #clinical #decision #support (#CDS). The idea is simple, and valid: no human, or team of humans, can remember everything they need to know. There's simply too much knowledge for the brain to hold and recall on demand. Subtle relationships exist between disparate types of data that *nobody* knows, until we tease out the numbers. We're doing this, right now. It is saving lives and relieving suffering, right now.

    The key word there is "support." Humans still absolutely, positively, 100% need to be in the loop.

    Maybe that will change, someday. I'm not saying it's impossible, for two reasons. First, any time anyone says "computers will never be able to ___" they're usually proven wrong. Second, I don't want to limit my and my colleagues' imaginations. We need to stay focused, but it is a *good thing* for our reach to slightly exceed our grasp. That's how #science happens!

    Just not this day, and not for many days to come. Right now, we need to keep muddling along. There's not much more human than that.

    fastcompany.com/90863983/chatg