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  Machine learning approaches as an alternative to traditional statistical methods in cardiovascular risk prediction

  Michela Sperti, Fabrizio D'Ascenzo, Luca Navarini, Giacomo Di Benedetto, Antonella Afeltra, Roberto Giacomelli, Marco A. Deriu

  29-09-2021

  https://doi.org/10.4081/bse.195

  440

  PDF: 237
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  Nuclear receptor modulators: Catching information by machine learning

  Cecile Valsecchi, Francesca Grisoni, Viviana Consonni, Davide Ballabio, Roberto Todeschini

  29-09-2021

  https://doi.org/10.4081/bse.198

  370

  PDF: 210
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  In silico modeling of biochemical pathways

  Paolo Milazzo, Roberta Gori, Alessio Micheli, Lucia Nasti, Marco Podda

  28-09-2021

  https://doi.org/10.4081/bse.142

  1308

  PDF: 299
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  From data exploration to predictive models: advanced Machine Learning and Artificial Intelligence techniques for cardiotoxicity analysis

  E. L. Viganò, A. Roncaglioni, D. Ballabio

  17-11-2023

  https://doi.org/10.4081/bse.226

  279

  PDF: 173