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    <title>PyPI recent updates for twinweaver</title>
    <link>https://pypi.org/project/twinweaver/</link>
    <description>Recent updates to the Python Package Index for twinweaver</description>
    <language>en</language>    <item>
      <title>0.3.6</title>
      <link>https://pypi.org/project/twinweaver/0.3.6/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Thu, 02 Apr 2026 16:41:24 GMT</pubDate>
    </item>    <item>
      <title>0.3.5</title>
      <link>https://pypi.org/project/twinweaver/0.3.5/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Thu, 02 Apr 2026 15:48:43 GMT</pubDate>
    </item>    <item>
      <title>0.3.4</title>
      <link>https://pypi.org/project/twinweaver/0.3.4/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Wed, 01 Apr 2026 14:40:17 GMT</pubDate>
    </item>    <item>
      <title>0.3.3</title>
      <link>https://pypi.org/project/twinweaver/0.3.3/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Wed, 01 Apr 2026 11:55:09 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/twinweaver/0.3.1/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Fri, 20 Mar 2026 16:14:56 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/twinweaver/0.3.0/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Wed, 18 Mar 2026 16:38:02 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/twinweaver/0.2.1/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Thu, 26 Feb 2026 09:31:29 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/twinweaver/0.2.0/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Fri, 06 Feb 2026 04:59:22 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/twinweaver/0.1.7/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Wed, 04 Feb 2026 03:25:26 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/twinweaver/0.1.6/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Tue, 03 Feb 2026 22:28:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/twinweaver/0.1.5/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Tue, 27 Jan 2026 13:13:14 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/twinweaver/0.1.4/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Tue, 27 Jan 2026 13:12:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/twinweaver/0.1.3/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Mon, 26 Jan 2026 17:58:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/twinweaver/0.1.2/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Mon, 26 Jan 2026 17:53:45 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/twinweaver/0.1.1/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Mon, 26 Jan 2026 17:41:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/twinweaver/0.1.0/</link>
      <description>Converting longitudinal patient data into text for LLM-based event prediction and forecasting.</description>
<author>nikita.makarov@roche.com</author>      <pubDate>Mon, 26 Jan 2026 17:35:06 GMT</pubDate>
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