Leonardo Ancora

Dr. Leonardo Ancora

Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 May 2021 in Algorithms
Verified
Journal Article
Open access
PDF file
FBFelix Beacher
Felix Beacher
LMLilianne R. Mujica-Parodi
Lilianne R. Mujica-Parodi
Shreyash GuptaShreyash Gupta
Shreyash Gupta
LALeonardo Ancora
Leonardo Ancora
The ability to predict the individual outcomes of clinical trials could support the development of tools for precision medicine and improve the efficiency of clinical-stage drug development. However, there are no published attempts to predict individual outcomes of clinical trials for cancer. We used machine learning (ML) to predict individual responses to a two-year course of bicalutamide, a standard treatment for prostate cancer, based on data from three Phase III clinical trials (n = 3653). We developed models that used a merged dataset from all three studies. The best performing models using merged data from all three studies had an accuracy of 76%. The performance of these models was confirmed by further modeling using a merged dataset from two of the three studies, and a separate study for testing. Together, our results indicate the feasibility of ML-based tools for predicting cancer treatment outcomes, with implications for precision oncology and improving the efficiency of clinical-stage drug development.