Development and validation of a computational tool to predict treatment outcomes in cells from high‐grade serous ovarian cancer patients.

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Title: Development and validation of a computational tool to predict treatment outcomes in cells from high‐grade serous ovarian cancer patients.
Authors: Cortesi, Marilisa1,2 (AUTHOR) m.cortesi@unsw.edu.au, Liu, Dongli2 (AUTHOR), Powell, Elyse2 (AUTHOR), Barlow, Ellen2 (AUTHOR), Warton, Kristina2 (AUTHOR), Giordano, Emanuele1 (AUTHOR), Ford, Caroline E.2 (AUTHOR) caroline.ford@unsw.edu.au
Source: Bioengineering & Translational Medicine. Nov2025, Vol. 10 Issue 6, p1-21. 21p.
Database: Academic Search Ultimate
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  Data: Development and validation of a computational tool to predict treatment outcomes in cells from high‐grade serous ovarian cancer patients.
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  Data: <searchLink fieldCode="AR" term="%22Cortesi%2C+Marilisa%22">Cortesi, Marilisa</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> m.cortesi@unsw.edu.au</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Dongli%22">Liu, Dongli</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Powell%2C+Elyse%22">Powell, Elyse</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barlow%2C+Ellen%22">Barlow, Ellen</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Warton%2C+Kristina%22">Warton, Kristina</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Giordano%2C+Emanuele%22">Giordano, Emanuele</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ford%2C+Caroline+E%2E%22">Ford, Caroline E.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> caroline.ford@unsw.edu.au</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189329064
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1002/btm2.70082
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 1
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      – TitleFull: Development and validation of a computational tool to predict treatment outcomes in cells from high‐grade serous ovarian cancer patients.
        Type: main
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          Name:
            NameFull: Cortesi, Marilisa
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          Name:
            NameFull: Liu, Dongli
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            NameFull: Powell, Elyse
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            NameFull: Barlow, Ellen
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            NameFull: Warton, Kristina
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            NameFull: Giordano, Emanuele
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            NameFull: Ford, Caroline E.
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            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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              Value: 10
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            – TitleFull: Bioengineering & Translational Medicine
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