machine learning

  1. RedFox

    Artificial intelligence in medicine and science

    Glass AI--AI that generates differential diagnosis and clinical plans Recently I learned about this AI tool, which is currently available for anyone to use without cost or registration. Edit: Darn I forgot the link: https://glass.health/ai I'm playing around with it to see how well it...
  2. SNT Gatchaman

    Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes, 2022, Zhang et al

    Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes Hao Zhang, Chengxi Zang, Zhenxing Xu, Yongkang Zhang, Jie Xu, Jiang Bian, Dmitry Morozyuk, Dhruv Khullar, Yiye Zhang, Anna S. Nordvig, Edward J. Schenck, Elizabeth A. Shenkman, Russell L. Rothman, Jason P. Block, Kristin...
  3. cassava7

    New Scientist: DeepMind's protein-folding AI cracks biology's biggest problem, 2022

    Artificial intelligence firm DeepMind has transformed biology by predicting the structure of nearly all proteins known to science in just 18 months, a breakthrough that will speed drug development and revolutionise basic science. DeepMind has predicted the structure of almost every protein so...
  4. Sly Saint

    Brain predictors of fatigue in rheumatoid arthritis: A machine learning study, 2022, Goni et al

    Abstract Background Fatigue is a common and burdensome symptom in Rheumatoid Arthritis (RA), yet is poorly understood. Currently, clinicians rely solely on fatigue questionnaires, which are inherently subjective measures. For the effective development of future therapies and stratification, it...
  5. Andy

    Objective Diagnosis of Fibromyalgia Using Neuroretinal Evaluation and Artificial Intelligence, 2022, Boquetea et al

    Abstract Background/Objective This study aims to identify objective biomarkers of fibromyalgia (FM) by applying artificial intelligence algorithms to structural data on the neuroretina obtained using swept-source optical coherence tomography (SS-OCT). Method The study cohort comprised 29 FM...
  6. SNT Gatchaman

    Stratification of hospitalized COVID-19 patients into clinical severity progression groups by immuno-phenotyping and machine learning, Mueller, 2022

    Stratification of hospitalized COVID-19 patients into clinical severity progression groups by immuno-phenotyping and machine learning Yvonne M. Mueller, Thijs J. Schrama, Rik Ruijten, Marco W. J. Schreurs, Dwin G. B. Grashof, Harmen J. G. van de Werken, Giovanna Jona Lasinio, Daniel...
  7. John Mac

    Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning & Utility of Activin B for Defining Symptom Severity (2019) Lidbury et al.

    https://www.mdpi.com/2075-4418/9/3/79
    • John Mac
    • Thread
    • 2019 activin diagnosis lidbury machine learning me/cfs paper
    • Replies: 10
    • Forum: ME/CFS research
  8. Trish

    Estimating Prevalence, Demographics and Costs of ME/CFS Using Large Scale Medical Claims Data and Machine Learning, 2018, Valdez, Proskauer et al

    Estimating Prevalence, Demographics and Costs of ME/CFS Using Large Scale Medical Claims Data and Machine Learning Ashley Valdez, Elizabeth E. Hancock, Seyi Adebayo, David Kiernicki, Daniel Proskauer, John R. Attewell, Lucinda Bateman, Alfred DeMaria Jr, Charles W. Lapp5, Peter C. Rowe and...
    • Trish
    • Thread
    • bateman epidemiology gender ratio lapp machine learning me/cfs prevalence proskauer rowe valdez
    • Replies: 53
    • Forum: ME/CFS research
  9. Andy

    A predictive algorithm to identify genes that discriminate individuals with fibromyalgia syndrome diagnosis from healthy controls, 2018, Saliqan et al

    Open access at https://www.dovepress.com/a-predictive-algorithm-to-identify-genes-that-discriminate-individuals-peer-reviewed-fulltext-article-JPR
  10. Webdog

    Press Release: IQuity Launches Healthcare Analytics Platform (predicts MS with 90% accuracy)

    IQuity has been covered in the forums before, but this looks like new news. IQuity claims they can predict Multiple Sclerosis with 90% accuracy at least 8 months before traditional methods. They also claim their approach "can be applied to any disease". IQuity Launches Healthcare Analytics...
  11. mariovitali

    Questionnaire on ME/CFS

    All, As some of you know i've been trying to identify whether there are conditions other than Infections such as EBV that may be setting the stage for ME/CFS or co-exist with ME/CFS. Machine Learning suggests that Liver-related conditions may be of particular interest. I created a...
  12. Andy

    Structural brain changes versus self-report: machine-learning classification of CFS patients, 2018, Staud et al

    Paywalled at https://link.springer.com/article/10.1007%2Fs00221-018-5301-8
    • Andy
    • Thread
    • 2018 machine learning me/cfs mri neurology paper staud
    • Replies: 0
    • Forum: ME/CFS research
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