<?xml version="1.0" encoding="UTF-8"?>
<xml>
<records>
<record>
  <contributors>
    <authors>
      <author>Camacho-Gomez, Daniel</author>
      <author>Borau, Carlos</author>
      <author>Garcia-Aznar, Jose Manuel</author>
      <author>Gomez-Benito, Maria Jose</author>
      <author>Girolami, Mark</author>
      <author>Perez, Maria Angeles</author>
    </authors>
  </contributors>
  <titles>
    <title>Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests</title>
    <secondary-title>npj digit. med.</secondary-title>
  </titles>
  <doi>10.1038/s41746-025-01890-x</doi>
  <pages/>
  <volume/>
  <number/>
  <dates>
    <year>2025</year>
    <pub-dates>
      <date>2025</date>
    </pub-dates>
  </dates>
  <abstract/>
</record>

</records>
</xml>