Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients-Reference-Cited by-同舟云学术

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Drug recommendation ranking for personalized medicine using outcomes of retrospective cancer patients

Published:2024-12 Issue: Volume:256 Page:124859
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Scarpato Noemi^ORCID,Riondino Silvia^ORCID,Nourbakhsh Aria^ORCID,Roselli Mario^ORCID,Ferroni Patrizia^ORCID,Guadagni Fiorella^ORCID,Zanzotto Fabio Massimo^ORCID

Publisher

Elsevier BV

Reference28 articles.

1. Machine learning approaches to drug response prediction: Challenges and recent progress;Adam;npj Precision Oncology,2020

2. What are the current challenges for machine learning in drug discovery and repurposing?;Aittokallio;Expert Opinion on Drug Discovery,2022

3. The cancer cell line Encyclopedia enables predictive modelling of anticancer drug sensitivity;Barretina;Nature,2012

4. Patient-derived xenografts undergo mouse-specific tumor evolution;Ben-David;Nature Genetics,2017

5. Deep learning for the prediction of the chemotherapy response of metastatic colorectal cancer: Comparing and combining h&e staining histopathology and infrared spectral histopathology;Brunel;The Analyst,2023

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