Simple algorithms could make clinical trials fairer and treat more people
Researchers tested many strategies that pick between different options, and found a surprise: often, simple rules beat fancy methods in real cases.
The choice that works best changes a lot with the problem — number of options and how much results bounce around matter more than people thought, so one method wont always win.
Using real medical trial data, the study shows adaptive choices could have led to better outcomes for patients.
A trial run this way would have treated about 50% more patients successfully, cut down on harms and kept more people in the study.
At the end, researchers still could find best treatment with high confidence.
This is hopeful: simple, easy rules might improve how we test treatments and help more people, faster.
The idea isn't perfect, and results depend on the specific setting, but it opens a clear path to smarter, kinder trials that actually do more good.
Read article comprehensive review in Paperium.net:
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