Cancer trials using AI predictions show promise for faster treatment comparisons

Researchers developed a new approach to cancer clinical trials that leverages predictive models to accelerate comparative effectiveness studies. The method could help oncologists identify superior treatments faster and more efficiently, potentially reducing the time and cost of bringing evidence-based cancer therapies to patients.

Originaltitel: Confirmatory prediction-driven RCTs in comparative effectiveness settings for cancer treatment