Presentation Open Access

How in silico methods and data reuse can help reduce the number of animal experiments

Maddalena Fratelli


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4524007", 
  "language": "eng", 
  "title": "How in silico methods and data reuse can help reduce the number of animal experiments", 
  "issued": {
    "date-parts": [
      [
        2021, 
        2, 
        9
      ]
    ]
  }, 
  "abstract": "<p>Presentation at the conference&nbsp;&nbsp;&quot;Towards replacement of animals for scientific purposes&quot; ,&nbsp; 2-3 february 2021.</p>\n\n<p>Talking about machine learning to develop models of drug sensitivity prediction, (Q)SAR models of toxicity prediction and the role of data re-use in enhancing external validity of the studies.</p>", 
  "author": [
    {
      "family": "Maddalena Fratelli"
    }
  ], 
  "type": "speech", 
  "id": "4524007"
}
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