[HTML][HTML] Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study

S Ferdowsi, J Knafou, N Borissov, DV Alvarez… - Patterns, 2023 - cell.com
Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a
major risk factor. We aimed to investigate the use of deep learning methods to predict the …

[PDF][PDF] Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study

S Ferdowsi, J Knafou, N Borissov, DV Alvarez… - access.archive-ouverte.unige.ch
Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a
major risk factor. We aimed to investigate the use of deep learning methods to predict the …

[HTML][HTML] Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study

S Ferdowsi, J Knafou, N Borissov, DV Alvarez… - Patterns, 2023 - ncbi.nlm.nih.gov
Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a
major risk factor. We aimed to investigate the use of deep learning methods to predict the …

Deep learning-based risk prediction for interventional clinical trials based on protocol design: a retrospective study

S Ferdowsi, J Knafou, N Borissov, DV Alvarez… - Patterns, 2023 - arodes.hes-so.ch
Résumé Success rate of clinical trials (CTs) is low, with the protocol design itself being
considered a major risk factor. We aimed to investigate the use of deep learning methods to …

Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study.

S Ferdowsi, J Knafou, N Borissov, D Vicente Alvarez… - Patterns, 2023 - boris.unibe.ch
Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a
major risk factor. We aimed to investigate the use of deep learning methods to predict the …

Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study

S Ferdowsi, J Knafou, N Borissov… - … (New York, NY), 2023 - pubmed.ncbi.nlm.nih.gov
Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a
major risk factor. We aimed to investigate the use of deep learning methods to predict the …

Deep Learning-Based Risk Prediction for Interventional Clinical Trials Based on Protocol Design: A Retrospective Study

S Ferdowsi, J Knafou, N Borissov, DV Alvarez… - Available at SSRN … - papers.ssrn.com
Background: Clinical trials (CTs) constitute a major cost in the drug development cycle, yet
their success rate is estimated to be no more than 14%. Among the many factors related to …

Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study

S Ferdowsi, J Knafou, N Borissov, V Alvarez… - Patterns (New York …, 2023 - europepmc.org
Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a
major risk factor. We aimed to investigate the use of deep learning methods to predict the …

[HTML][HTML] Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study

S Ferdowsi, J Knafou, N Borissov, DV Alvarez… - Patterns, 2023 - Elsevier
Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a
major risk factor. We aimed to investigate the use of deep learning methods to predict the …

Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study.

S Ferdowsi, J Knafou, N Borissov, V Alvarez… - Patterns (New York …, 2023 - europepmc.org
Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a
major risk factor. We aimed to investigate the use of deep learning methods to predict the …