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    <title>PyPI recent updates for meds-torch-data</title>
    <link>https://pypi.org/project/meds-torch-data/</link>
    <description>Recent updates to the Python Package Index for meds-torch-data</description>
    <language>en</language>    <item>
      <title>0.9.0</title>
      <link>https://pypi.org/project/meds-torch-data/0.9.0/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Tue, 21 Apr 2026 01:30:32 GMT</pubDate>
    </item>    <item>
      <title>0.8.2</title>
      <link>https://pypi.org/project/meds-torch-data/0.8.2/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Mon, 20 Apr 2026 03:22:39 GMT</pubDate>
    </item>    <item>
      <title>0.8.1</title>
      <link>https://pypi.org/project/meds-torch-data/0.8.1/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Sun, 19 Apr 2026 16:35:13 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/meds-torch-data/0.8.0/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Sun, 19 Apr 2026 15:15:22 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/meds-torch-data/0.7.0/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Thu, 16 Apr 2026 12:51:40 GMT</pubDate>
    </item>    <item>
      <title>0.6.6</title>
      <link>https://pypi.org/project/meds-torch-data/0.6.6/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Wed, 05 Nov 2025 17:09:41 GMT</pubDate>
    </item>    <item>
      <title>0.6.5</title>
      <link>https://pypi.org/project/meds-torch-data/0.6.5/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Sun, 14 Sep 2025 16:35:20 GMT</pubDate>
    </item>    <item>
      <title>0.6.4</title>
      <link>https://pypi.org/project/meds-torch-data/0.6.4/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Sun, 14 Sep 2025 16:10:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/meds-torch-data/0.1.11/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Sun, 14 Sep 2025 16:08:02 GMT</pubDate>
    </item>    <item>
      <title>0.6.3</title>
      <link>https://pypi.org/project/meds-torch-data/0.6.3/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Fri, 06 Jun 2025 15:57:31 GMT</pubDate>
    </item>    <item>
      <title>0.6.2</title>
      <link>https://pypi.org/project/meds-torch-data/0.6.2/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Tue, 03 Jun 2025 20:57:16 GMT</pubDate>
    </item>    <item>
      <title>0.6.1</title>
      <link>https://pypi.org/project/meds-torch-data/0.6.1/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Sun, 11 May 2025 16:31:25 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/meds-torch-data/0.6.0/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Tue, 06 May 2025 18:56:20 GMT</pubDate>
    </item>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/meds-torch-data/0.5.1/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Fri, 18 Apr 2025 16:33:15 GMT</pubDate>
    </item>    <item>
      <title>0.5</title>
      <link>https://pypi.org/project/meds-torch-data/0.5/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Tue, 15 Apr 2025 20:32:22 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/meds-torch-data/0.4.1/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Tue, 15 Apr 2025 20:09:37 GMT</pubDate>
    </item>    <item>
      <title>0.4</title>
      <link>https://pypi.org/project/meds-torch-data/0.4/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Tue, 25 Mar 2025 16:10:43 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/meds-torch-data/0.3.1/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Wed, 19 Mar 2025 14:41:27 GMT</pubDate>
    </item>    <item>
      <title>0.3</title>
      <link>https://pypi.org/project/meds-torch-data/0.3/</link>
      <description>An efficient, flexible PyTorch dataset class for MEDS data.</description>
<author>mattmcdermott8@gmail.com, noufattole@gmail.com, teyabergamaschi@gmail.com, aleksiakolo@gmail.com</author>      <pubDate>Tue, 18 Mar 2025 20:25:51 GMT</pubDate>
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