Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?-Reference-Cited by-同舟云学术

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Can Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?

Published:2024-09-10 Issue: Volume: Page:
ISSN:0022-2623
Container-title:Journal of Medicinal Chemistry
language:en
Short-container-title:J. Med. Chem.

Author:

Sun Duxin^ORCID,Macedonia Christian¹,Chen Zhigang²,Chandrasekaran Sriram^ORCID,Najarian Kayvan,Zhou Simon³,Cernak Tim^ORCID,Ellingrod Vicki L.,Jagadish H. V.,Marini Bernard,Pai Manjunath,Violi Angela^ORCID,Rech Jason C.,Wang Shaomeng^ORCID,Li Yan⁴,Athey Brian,Omenn Gilbert S.^ORCID

Affiliation:

1. Lancaster Life Science Group, Lancaster, Pennsylvania 17601, United States

2. LabBotics.ai, Palo Alto, California 94303, United States

3. Aurinia Pharmaceuticals Inc., Rockville, Maryland 20850, United States

4. Translational Medicine and Clinical Pharmacology, Bristol Myers Squibb, Summit, New Jersey 07901, United States

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jmedchem.4c01684

Reference282 articles.

1. Cancer statistics, 2023

2. Trends in the approval of cancer therapies by the FDA in the twenty-first century

3. Anticancer Drugs Approved by the US Food and Drug Administration From 2009 to 2020 According to Their Mechanism of Action

4. WHO. Cancer. https://www.who.int/news-room/fact-sheets/detail/cancer, 2022.

5. Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020–21

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