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A JavaScript-based computational method for predicting decay activity of 131I: development, benchmark- and phantom-based assessment of an open-access research tool.

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Title: A JavaScript-based computational method for predicting decay activity of 131I: development, benchmark- and phantom-based assessment of an open-access research tool.
Authors: Garau, Ludovico M1 (AUTHOR), Rosso, Veronica2 (AUTHOR), Bastianutti, Livio3 (AUTHOR), Schiattarella, Stefano3 (AUTHOR), Gregorio, Fernando Di3 (AUTHOR)
Source: Radiation Protection Dosimetry. Jul2026, Vol. 202 Issue 11, p892-903. 12p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 195158743
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A JavaScript-based computational method for predicting decay activity of <superscript>131</superscript>I: development, benchmark- and phantom-based assessment of an open-access research tool.
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  Data: <searchLink fieldCode="JN" term="%22Radiation+Protection+Dosimetry%22">Radiation Protection Dosimetry</searchLink>. Jul2026, Vol. 202 Issue 11, p892-903. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=195158743
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/rpd/ncag024
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 892
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      – TitleFull: A JavaScript-based computational method for predicting decay activity of 131I: development, benchmark- and phantom-based assessment of an open-access research tool.
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            NameFull: Garau, Ludovico M
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            NameFull: Rosso, Veronica
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            NameFull: Bastianutti, Livio
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            NameFull: Schiattarella, Stefano
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            NameFull: Gregorio, Fernando Di
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 202
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