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Magda Amiridi

2 accepted papers

2023

Enrollment Rate Prediction in Clinical Trials based on CDF Sketching and Tensor Factorization tools

ICASSP 2023accepted

Patient enrollment is critical to the success of a clinical trial. In practice, before launching a trial, one of the top priorities is to predict the enrollment rate for different countries, so that one can select clinical sites from the countries with the highest enrollment rates to accelerate pati…

Cited by 0SourceScholar
2019

From Gene Expression to Drug Response: A Collaborative Filtering Approach

ICASSP 2019accepted

Predicting the response of cancer cells to drugs is an important problem in pharmacogenomics. Recent efforts in generation of large scale datasets profiling gene expression and drug sensitivity in cell lines have provided a unique opportunity to study this problem. However, one major challenge is th…

Cited by 0SourceScholar