Application of Machine Learning for Tumor Growth Inhibition – Overall Survival Modeling Platform
Phyllis Chan; Xiaofei Zhou; Nina Wang; Qi Liu; René Bruno; Jin Y. Jin · 2020 · CPT Pharmacometrics & Systems Pharmacology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Machine learning (ML) was used to leverage tumor growth inhibition (TGI) metrics to characterize the relationship with overall survival (OS) as a novel approach and to compare with traditional TGI-OS modeling methods. Historical dataset…
Excerpt shown for reference under fair use — read the full paper at the publisher.
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1002/psp4.12576