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The facts cover the basics, as well as current information on incidence, reinfections, research, and lesser known topics.
In sum, we used three different machine learning methods (a genetically optimized deep learning model, ensemble clustering, and probabilistic modeling).
This #LongCovid definition was developed by @theNASEM — commissioned by @HHSGov through @ASPRgov & OASH — to promote consistency in diagnoses, aid awareness efforts, help patients access care & benefits, harmonize LC research, & public health monitoring/regulations /2
https://twitter.com/polybioRF/status/1791471879917560272@polybioRF Dr. Amy Proal @polybioRF kicking things off with the history of the foundation, its Long Covid Research Consortium, and its focus on the viral persistence hypothesis. This culminated in this position paper published last year. 1/nature.com/articles/s4159…
https://twitter.com/patientled/status/1705655801598054560
https://twitter.com/patientled/status/1383594445975687172In the past year, we've launched a patient-generated hypothesis publication; awarded $5 million in biomedical research; launched a reinfections survey; studied the impact of #LongCovid in LMIC; created scorecards to rate patient engagement in research 2/
The RFP can be found on our website here:
Learning objectives for these talks.