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Federico Amato

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Publications associées (5)

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Explainable machine learning prediction of edema adverse events in patients treated with tepotinib

Roberto Castello, Federico Amato

Tepotinib is approved for the treatment of patients with non-small-cell lung cancer harboring MET exon 14 skipping alterations. While edema is the most prevalent adverse event (AE) and a known class effect of MET inhibitors including tepotinib, there is st ...

2024

Spatio-temporal estimation of wind speed and wind power using extreme learning machines: predictions, uncertainty and technical potential

Jean-Louis Scartezzini, Alina Ursula Rosa Walch, Federico Amato

With wind power providing an increasing amount of electricity worldwide, the quantification of its spatio-temporal variations and the related uncertainty is crucial for energy planners and policy-makers. Here, we propose a methodological framework which (1 ...

SPRINGER2022

Modeling tumor size dynamics based on real-world electronic health records and image data in advanced melanoma patients receiving immunotherapy

Federico Amato

The development of immune checkpoint inhibitors (ICIs) has revolutionized cancer therapy but only a fraction of patients benefits from this therapy. Model-informed drug development can be used to assess prognostic and predictive clinical factors or biomark ...

2023

An Analysis of the Airbnb Market: A Detailed Look at Four Italian Cities

Federico Amato

The Sharing Economy, or the economy of sharing, is an economic phenomenon that has rapidly spread in recent years, transforming the ways in which resources and services are accessed and consumed. This phenomenon has had a significant impact on consumption ...

Springer Science and Business Media Deutschland GmbH2024

Spatiotemporal data science: theoretical advances and applications

Fabian Guignard, Federico Amato

2022