<?xml version="1.0" encoding="UTF-8"?>
<references>
<reference>
  <a1>Camacho-Gomez, Daniel</a1>
  <a2>Borau, Carlos</a2>
  <a2>Garcia-Aznar, Jose Manuel</a2>
  <a2>Gomez-Benito, Maria Jose</a2>
  <a2>Girolami, Mark</a2>
  <a2>Perez, Maria Angeles</a2>
  <t1>Physics-informed machine learning digital twin for reconstructing prostate cancer tumor growth via PSA tests</t1>
  <t2>npj digit. med.</t2>
  <sn/>
  <op/>
  <vo/>
  <ab/>
  <la>eng</la>
  <k1/>
  <pb/>
  <pp/>
  <yr>2025</yr>
  <ed/>
  <ul>http://zaguan.unizar.es/record/162433/files/texto_completo.pdf;
	http://zaguan.unizar.es/record/162433/files/texto_completo.jpg?subformat=icon;
	</ul>
  <no>Imported from Invenio.</no>
</reference>

</references>