The study will deeply characterize patients before, during and after treatments are trialed through their General Practitioner (GP). Producing large scale data in combination with treatment outcome will be used to produce a predictive algorithm to improve the connection of patients to appropriate treatment options sooner.
We’re conducting a study to closely watch how different treatments affect ME/CFS and Long COVID patients, using a very tailored approach. We’ll collect samples from patients before, during, and after their treatment to see what biological changes happen and how these relate to whether they feel better or not. This method will help us figure out which treatments work, why they work, and who they work best for.
We plan to study 200 patients over three years. Each patient will be part of the study for about 3 to 4 months, during which they will try 2 to 3 different treatments. This includes three visits to the clinic and involves analyzing many samples they provide, like blood and urine. This large collection of data from all the patients will help us make better predictions about which treatments are most likely to help others in the future.
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