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    <title>topic Re: Stability studies in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Stability-studies/m-p/534997#M75742</link>
    <description>&lt;P&gt;I model stability of pharmaceutical products over time, based on conditions such as temperature and humidity (solids), or temperature and pH (liquids).&amp;nbsp; To do this I use the nonlinear platform (Analyze&amp;gt;Specialized Modeling&amp;gt;Nonlinear).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;This approach does require that you know the functional form of the model.&amp;nbsp; This comes from domain knowledge and some understanding of&amp;nbsp; the mechanisms for degradation.&amp;nbsp; I use various modified forms of the Arrhenius equation (that are illustrated in the talk in the link below).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you do a search, not just for 'this board' but across the entire community you will find a number of interesting presentations from past Discovery summits.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Here is one that I was involved with (it's custom code but behind the scenes it is the nonlinear platform):&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://community.jmp.com/t5/Discovery-Summit-Europe-2022/Predicting-Molecule-Stability-in-Biopharmaceutical-Products-with/ta-p/446141" target="_blank"&gt;https://community.jmp.com/t5/Discovery-Summit-Europe-2022/Predicting-Molecule-Stability-in-Biopharmaceutical-Products-with/ta-p/446141&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Thu, 18 Aug 2022 07:00:46 GMT</pubDate>
    <dc:creator>David_Burnham</dc:creator>
    <dc:date>2022-08-18T07:00:46Z</dc:date>
    <item>
      <title>Stability studies</title>
      <link>https://community.jmp.com/t5/Discussions/Stability-studies/m-p/534791#M75726</link>
      <description>&lt;P&gt;Hi, Asking for ideas for analyzing data from a stability study with multiple compounds changing over time at different rates with many different types of samples included in the study.&amp;nbsp; Each data point is from a separate sample that has been aged for a given point in time.&amp;nbsp; Suggestions would be appreciated.&lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:53:48 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Stability-studies/m-p/534791#M75726</guid>
      <dc:creator>VarianceMink489</dc:creator>
      <dc:date>2023-06-09T00:53:48Z</dc:date>
    </item>
    <item>
      <title>Re: Stability studies</title>
      <link>https://community.jmp.com/t5/Discussions/Stability-studies/m-p/534997#M75742</link>
      <description>&lt;P&gt;I model stability of pharmaceutical products over time, based on conditions such as temperature and humidity (solids), or temperature and pH (liquids).&amp;nbsp; To do this I use the nonlinear platform (Analyze&amp;gt;Specialized Modeling&amp;gt;Nonlinear).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;This approach does require that you know the functional form of the model.&amp;nbsp; This comes from domain knowledge and some understanding of&amp;nbsp; the mechanisms for degradation.&amp;nbsp; I use various modified forms of the Arrhenius equation (that are illustrated in the talk in the link below).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;If you do a search, not just for 'this board' but across the entire community you will find a number of interesting presentations from past Discovery summits.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Here is one that I was involved with (it's custom code but behind the scenes it is the nonlinear platform):&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://community.jmp.com/t5/Discovery-Summit-Europe-2022/Predicting-Molecule-Stability-in-Biopharmaceutical-Products-with/ta-p/446141" target="_blank"&gt;https://community.jmp.com/t5/Discovery-Summit-Europe-2022/Predicting-Molecule-Stability-in-Biopharmaceutical-Products-with/ta-p/446141&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Thu, 18 Aug 2022 07:00:46 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Stability-studies/m-p/534997#M75742</guid>
      <dc:creator>David_Burnham</dc:creator>
      <dc:date>2022-08-18T07:00:46Z</dc:date>
    </item>
    <item>
      <title>Re: Stability studies</title>
      <link>https://community.jmp.com/t5/Discussions/Stability-studies/m-p/805244#M98339</link>
      <description>&lt;P&gt;&lt;A href="https://community.jmp.com/t5/Abstracts/Predicting-Molecule-Stability-in-Biopharmaceutical-Products-with/ev-p/755529" target="_blank"&gt;https://community.jmp.com/t5/Abstracts/Predicting-Molecule-Stability-in-Biopharmaceutical-Products-with/ev-p/755529&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If the link above doesn't work try this one :)&lt;/img&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sun, 13 Oct 2024 16:20:38 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Stability-studies/m-p/805244#M98339</guid>
      <dc:creator>Michelle_Ricci</dc:creator>
      <dc:date>2024-10-13T16:20:38Z</dc:date>
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