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    <title>OsMoSis</title>
    <link>https://osmosisfoundation.github.io/index.xml</link>
    <description>Recent content on OsMoSis</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <copyright>Copyright (c) 2017 - 2019, OsMoSis Foundation; all rights reserved.</copyright>
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    <item>
      <title>Blog</title>
      <link>https://osmosisfoundation.github.io/home/posts/</link>
      <pubDate>Sun, 20 Nov 2016 00:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/home/posts/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Projects</title>
      <link>https://osmosisfoundation.github.io/home/projects/</link>
      <pubDate>Wed, 20 Apr 2016 00:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/home/projects/</guid>
      <description></description>
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    <item>
      <title>Community</title>
      <link>https://osmosisfoundation.github.io/home/community/</link>
      <pubDate>Mon, 21 Nov 2016 00:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/home/community/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Discuss</title>
      <link>https://osmosisfoundation.github.io/home/discuss/</link>
      <pubDate>Wed, 20 Apr 2016 00:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/home/discuss/</guid>
      <description>&lt;p&gt;Official &lt;a href=&#34;http://discuss.go-isop.org/&#34;&gt;discussion forum&lt;/a&gt; of the OsMoSiS Project&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>Contact</title>
      <link>https://osmosisfoundation.github.io/home/contact/</link>
      <pubDate>Wed, 20 Apr 2016 00:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/home/contact/</guid>
      <description></description>
    </item>
    
    <item>
      <title>The Toolbox - A dockerized pharmacometrics system</title>
      <link>https://osmosisfoundation.github.io/blog/2017/02/11/pmx-docker/</link>
      <pubDate>Sat, 11 Feb 2017 11:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/blog/2017/02/11/pmx-docker/</guid>
      <description>&lt;p&gt;&lt;em&gt;pmx-docker&lt;/em&gt; is a repository of docker containers designed to allow easy deployment of software tools for quantitative modeling and simulation activities. In the first release phase, four essential M&amp;amp;S related software are being deployed -&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;R with Rstudio server&lt;/li&gt;
&lt;li&gt;NONMEM&lt;/li&gt;
&lt;li&gt;Perl Speaks NONMEM (PsN)&lt;/li&gt;
&lt;li&gt;Piranajs&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;The project is currently in a testing phase and the product will be released to the community by March 1, 2017.&lt;/p&gt;

&lt;p&gt;This post will be updated closer to the release date.&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>Preprint your publications on BioRxiv</title>
      <link>https://osmosisfoundation.github.io/blog/2017/01/26/preprints/</link>
      <pubDate>Thu, 26 Jan 2017 11:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/blog/2017/01/26/preprints/</guid>
      <description>&lt;p&gt;BioRxiv is the new home to pre-print publications for all disciplines involved
in clinical drug development and therapeutics! Check out the new &lt;a href=&#34;http://connect.biorxiv.org/relate/content/52&#34;&gt;Drug
Development and Clinical Therapeutics&lt;/a&gt; (#ddct) channel on the well-know &lt;a href=&#34;http://biorxiv.org/&#34;&gt;BioRxiv&lt;/a&gt;
pre-print site (channels are listed in a menu on the upper right side of the
main page). Pre-prints provide rapid dissemination of knowledge with an
opportunity to receive dynamic and continuous feedback from multiple reviewers
that can improve the quality of your publication.  We believe pre-prints are an
essential but missing link in our rapidly growing field of quantitative clinical
sciences that support clinical drug development and therapeutic management. You
can learn more about &lt;a href=&#34;https://www.youtube.com/watch?v=2zMgY8Dx9co&#34;&gt;pre-prints&lt;/a&gt; and &lt;a href=&#34;https://www.youtube.com/watch?v=EwAMtT3ZIpg&#34;&gt;Biorxiv&lt;/a&gt; by watching the videos in the links.
Submitting your manuscripts to biorxiv’s #ddct channel requires 2 simple steps:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Submit your manuscript through the regular submission route of biorxiv that can
be found &lt;a href=&#34;http://biorxiv.org/submit-a-manuscript&#34;&gt;here&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;Add a #ddct Tag to the end of your manuscript abstract to get
listed in the &lt;a href=&#34;http://connect.biorxiv.org/relate/content/52&#34;&gt;Drug Development and Clinical Therapeutics channel&lt;/a&gt;.  In addition
to this tag, you can include multiple other tags that are listed &lt;a href=&#34;http://connect.biorxiv.org/relate/content/52&#34;&gt;here&lt;/a&gt; in the
“Instructions for authors”&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Your manuscript will be sent out to moderators who will oversee the content and
approve the pre-print. The moderator’s job is primarily to ensure that the
manuscript is a rigorous scientific work in an area consistent with the scope of
the #ddct channel. Review of the details of the manuscript is left to the
community who have access to a discussion board for each manuscript. This will
facilitate an open peer review process designed to help authors improve their
work before submitting to a peer-reviewed journal. A revised and refined
manuscript after open peer-review can still be submitted to any standard journal
of your choice.&lt;/p&gt;

&lt;p&gt;We are seeking moderators from different time zones around the world, at least
1-2 from each continent.  Moderators will serve for a one year term at the end
of which can nominate other colleagues to serve.  If you would like to nominate
yourself or a colleague, please send an email to the contacts listed below with
the subject “Intent to moderate #ddct biorxiv”.&lt;/p&gt;

&lt;p&gt;Please send all questions and comments to -
@vijay or @kyleb via the &lt;a href=&#34;http://discuss.go-isop.org/t/preprint-your-publications-on-biorxiv/868&#34;&gt;discussion in the Biorxiv category
thread on the ISoP discuss forum&lt;/a&gt;&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>OsMoSiS Team</title>
      <link>https://osmosisfoundation.github.io/post/osmosis_team/</link>
      <pubDate>Mon, 21 Nov 2016 12:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/post/osmosis_team/</guid>
      <description>

&lt;h2 id=&#34;meet-our-community&#34;&gt;Meet our Community&lt;/h2&gt;

&lt;p&gt;OsMoSiS is entirely a community driven effort. The project originally came together from conversations between like-minded researchers and continues to expand as more people contribute tools, expertise, and research ideas. We welcome a global community of researchers, students, software developers, and various others working towards improving the world of quantitative clinical science. We welcome you to join us and help improve tools and practices available to researchers.&lt;/p&gt;

&lt;h2 id=&#34;how-to-join-our-community&#34;&gt;How to join our community&lt;/h2&gt;

&lt;p&gt;If you have any project that you would like to be involved with, the best place for you to start with is the discussion board(&lt;a href=&#34;http://discuss.go-isop.org/&#34;&gt;http://discuss.go-isop.org/&lt;/a&gt;)&lt;/p&gt;

&lt;h2 id=&#34;contribute&#34;&gt;Contribute&lt;/h2&gt;

&lt;p&gt;We will be setting forth the guidelines and structure for contributions&lt;/p&gt;

&lt;h2 id=&#34;meet-our-community-1&#34;&gt;Meet our Community&lt;/h2&gt;

&lt;table&gt;
&lt;thead&gt;
&lt;tr&gt;
&lt;th&gt;&lt;img src=&#34;https://media.licdn.com/mpr/mpr/shrinknp_400_400/AAEAAQAAAAAAAAY1AAAAJGU3N2FjNjI0LWZlYTgtNGQ4NC04MWM3LWEyYjExZWNlN2UzNw.jpg&#34; alt=&#34;potrait&#34; /&gt;&lt;/th&gt;
&lt;th&gt;&lt;img src=&#34;https://avatars3.githubusercontent.com/u/3196313?v=3&amp;amp;s=400&#34; alt=&#34;potrait&#34; /&gt;&lt;/th&gt;
&lt;th&gt;&lt;img src=&#34;https://media.licdn.com/mpr/mpr/shrinknp_400_400/AAEAAQAAAAAAAAVIAAAAJDk4N2E0ZjU3LTBiM2QtNGQ2NS05ZmRiLTJiOTI5YTMyNGFlZg.jpg&#34; alt=&#34;potrait&#34; /&gt;&lt;/th&gt;
&lt;/tr&gt;
&lt;/thead&gt;

&lt;tbody&gt;
&lt;tr&gt;
&lt;td&gt;&lt;img src=&#34;https://lh3.googleusercontent.com/-cJFNzjlFoFA/AAAAAAAAAAI/AAAAAAAABNE/GYPA_2svmPg/s360-c-k-no/photo.jpg&#34; alt=&#34;potrait&#34; /&gt;&lt;/td&gt;
&lt;td&gt;&lt;img src=&#34;https://avatars2.githubusercontent.com/u/1605707?v=3&amp;amp;s=400&#34; alt=&#34;potrait&#34; /&gt;&lt;/td&gt;
&lt;td&gt;&lt;img src=&#34;https://avatars1.githubusercontent.com/u/243793?v=3&amp;amp;s=400&#34; alt=&#34;potrait&#34; /&gt;&lt;/td&gt;
&lt;/tr&gt;

&lt;tr&gt;
&lt;td&gt;&lt;img src=&#34;https://media.licdn.com/mpr/mpr/shrinknp_400_400/AAEAAQAAAAAAAAUlAAAAJDhiOTcyOGZlLTFjZWUtNGQzNS1hYjBmLWUwMGY5M2JlNzU3MQ.jpg&#34; alt=&#34;potrait&#34; /&gt;&lt;/td&gt;
&lt;td&gt;&lt;img src=&#34;https://media.licdn.com/mpr/mpr/shrinknp_400_400/AAEAAQAAAAAAAAOaAAAAJGVmM2QyM2EyLTM1ZjktNDU2Yy04ZTBkLWIxODE1NjIxZmI5Mw.jpg&#34; alt=&#34;potrait&#34; /&gt;&lt;/td&gt;
&lt;td&gt;&lt;img src=&#34;http://www.ideal.rwth-aachen.de/wp-content/uploads/2013/09/Mats_1-495x400.jpg&#34; alt=&#34;potrait&#34; /&gt;&lt;/td&gt;
&lt;/tr&gt;

&lt;tr&gt;
&lt;td&gt;&lt;img src=&#34;https://media.licdn.com/mpr/mpr/shrinknp_400_400/p/5/000/209/18f/0d28f3b.jpg&#34; alt=&#34;potrait&#34; /&gt;&lt;/td&gt;
&lt;td&gt;&lt;img src=&#34;https://media.licdn.com/mpr/mpr/shrinknp_400_400/AAEAAQAAAAAAAAicAAAAJGZiNGY3YWNiLWRkNzYtNDZiMi04ZjRlLWZlMzhkY2JhZjI0MQ.jpg&#34; alt=&#34;potrait&#34; /&gt;&lt;/td&gt;
&lt;td&gt;
&lt;figure &gt;
    
        &lt;img src=&#34;https://media.licdn.com/mpr/mpr/shrinknp_400_400/AAEAAQAAAAAAAAY1AAAAJGU3N2FjNjI0LWZlYTgtNGQ4NC04MWM3LWEyYjExZWNlN2UzNw.jpg&#34; /&gt;
    
    
    &lt;figcaption&gt;
        &lt;h4&gt;Vijay Ivaturi&lt;/h4&gt;
        
    &lt;/figcaption&gt;
    
&lt;/figure&gt;
&lt;/td&gt;
&lt;/tr&gt;

&lt;tr&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;td&gt;&lt;/td&gt;
&lt;/tr&gt;
&lt;/tbody&gt;
&lt;/table&gt;
</description>
    </item>
    
    <item>
      <title>DDMore Model Repository</title>
      <link>https://osmosisfoundation.github.io/blog/2016/11/20/ddmore_repo/</link>
      <pubDate>Sun, 20 Nov 2016 12:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/blog/2016/11/20/ddmore_repo/</guid>
      <description>

&lt;h2 id=&#34;access-to-curated-and-shared-knowledge&#34;&gt;Access to curated and shared knowledge&lt;/h2&gt;

&lt;p&gt;&lt;strong&gt;&lt;em&gt;this post has been directly take from the ddmore model repository website&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;An open, publicly available, free-to-use Model Repository that is indexed, fully searchable, and supported by peer review.&lt;/p&gt;

&lt;p&gt;The Model Repository enables display and search of key model features and elements via a structured and curated annotation system. The flexibility and power of the Model Repository is showcased by a range of &amp;ldquo;proof of concept&amp;rdquo; drug and disease models consisting of published pharmacokinetic (PK), pharmacodynamic (PD), PK-PD, physiologically-based PK (PBPK), statistical and systems biology models.&lt;/p&gt;

&lt;p&gt;The DDMoRe Model Repository is built using the Pharmacometrics Markup Language (PharmML), and supports the Model Description Language (MDL). Together with DDMoRe&amp;rsquo;s unique Interoperability Framework, these tools facilitate the collaborative development of computational models. Users can submit their models in a number of formats, but to benefit from all of the model repository&amp;rsquo;s features you will need to use the PharmML representation.&lt;/p&gt;

&lt;p&gt;The DDMoRe consortium has developed new state-of-the art models in key therapeutic areas including diabetes,oncology, CNS and infectious disease. These models are encoded in PharmML and MDL to facilitate seamless exchange between modelling languages, existing and new tools.&lt;/p&gt;

&lt;p&gt;The Model Repository will be made available as a public instance, but will be portable and developed under existing GPL-compatible licenses, allowing integration of private or customized versions within organizations.
Tutorials to support use and integration of the DDMoRe products is available.
A private version of the Model Repository can be installed using the installation guide for the Model Repository and Fuseki Server available as downloads at the end of this page.&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>DDMore Model Repository</title>
      <link>https://osmosisfoundation.github.io/post/ddmore_repo/</link>
      <pubDate>Sun, 20 Nov 2016 12:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/post/ddmore_repo/</guid>
      <description>

&lt;h2 id=&#34;access-to-curated-and-shared-knowledge&#34;&gt;Access to curated and shared knowledge&lt;/h2&gt;

&lt;p&gt;&lt;strong&gt;&lt;em&gt;this post has been directly take from the ddmore model repository website&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;An open, publicly available, free-to-use Model Repository that is indexed, fully searchable, and supported by peer review.&lt;/p&gt;

&lt;p&gt;The Model Repository enables display and search of key model features and elements via a structured and curated annotation system. The flexibility and power of the Model Repository is showcased by a range of &amp;ldquo;proof of concept&amp;rdquo; drug and disease models consisting of published pharmacokinetic (PK), pharmacodynamic (PD), PK-PD, physiologically-based PK (PBPK), statistical and systems biology models.&lt;/p&gt;

&lt;p&gt;The DDMoRe Model Repository is built using the Pharmacometrics Markup Language (PharmML), and supports the Model Description Language (MDL). Together with DDMoRe&amp;rsquo;s unique Interoperability Framework, these tools facilitate the collaborative development of computational models. Users can submit their models in a number of formats, but to benefit from all of the model repository&amp;rsquo;s features you will need to use the PharmML representation.&lt;/p&gt;

&lt;p&gt;The DDMoRe consortium has developed new state-of-the art models in key therapeutic areas including diabetes,oncology, CNS and infectious disease. These models are encoded in PharmML and MDL to facilitate seamless exchange between modelling languages, existing and new tools.&lt;/p&gt;

&lt;p&gt;The Model Repository will be made available as a public instance, but will be portable and developed under existing GPL-compatible licenses, allowing integration of private or customized versions within organizations.
Tutorials to support use and integration of the DDMoRe products is available.
A private version of the Model Repository can be installed using the installation guide for the Model Repository and Fuseki Server available as downloads at the end of this page.&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>OsMoSiS Team</title>
      <link>https://osmosisfoundation.github.io/community/osmosis_team/</link>
      <pubDate>Sun, 20 Nov 2016 12:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/community/osmosis_team/</guid>
      <description>

&lt;h2 id=&#34;meet-our-community&#34;&gt;Meet our Community&lt;/h2&gt;

&lt;p&gt;OsMoSiS is entirely a community driven effort. The project originally came together from conversations between like-minded researchers and continues to expand as more people contribute tools, expertise, and research ideas. We welcome a global community of researchers, students, software developers, and various others working towards improving the world of quantitative clinical science. We welcome you to join us and help improve tools and practices available to researchers.&lt;/p&gt;

&lt;h2 id=&#34;how-to-join-our-community&#34;&gt;How to join our community&lt;/h2&gt;

&lt;p&gt;If you have any project that you would like to be involved with, the best place for you to start with is the discussion board(&lt;a href=&#34;http://discuss.go-isop.org/&#34;&gt;http://discuss.go-isop.org/&lt;/a&gt;)&lt;/p&gt;

&lt;h2 id=&#34;contribute&#34;&gt;Contribute&lt;/h2&gt;

&lt;p&gt;We will be setting forth the guidelines and structure for contributions&lt;/p&gt;

&lt;h2 id=&#34;meet-our-community-1&#34;&gt;Meet our Community&lt;/h2&gt;
</description>
    </item>
    
    <item>
      <title>Open Source Tools in Pharmacometrics</title>
      <link>https://osmosisfoundation.github.io/blog/2016/10/28/opensourceinphmx/</link>
      <pubDate>Fri, 28 Oct 2016 11:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/blog/2016/10/28/opensourceinphmx/</guid>
      <description>&lt;p&gt;The 7&lt;sup&gt;th&lt;/sup&gt; American Confernce in Pharmacometrics was held in Seattle, Washington from October 23 - 27, 2016. On the last day of the conference, there was a session named - &lt;strong&gt;&lt;em&gt;&amp;ldquo;An Overview of Consortia and Open-Source Approaches to Quantitative Drug Development Tools&amp;rdquo;&lt;/em&gt;&lt;/strong&gt;. This was the first time in my short experience in this field that there has been a discussion on the concept of &amp;ldquo;sharing&amp;rdquo; in pharmacometrics. It was bold, new and exciting to see initiatives being taken in our community towards being more collaborative.&lt;/p&gt;

&lt;p&gt;You can find the list of speakers and topic session in the conference program page &lt;a href=&#34;http://www.acop7.org/conference-program&#34;&gt;here&lt;/a&gt;. In the spirit of the topic, all the speakers decided to share their presentations and collaboratively work in the &lt;a href=&#34;https://osf.io/csjf7/&#34;&gt;Open Science Framework&lt;/a&gt; (you need to sign up to the website to use it). All presentations made there will be posted here eventually.&lt;/p&gt;

&lt;p&gt;I would like to summarize to the best of my ability, the overall message of that session.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;There was a clear understanding that there needs to be a shift in the culture of doing science in pharmacometrics to be more open and collaborative.&lt;/li&gt;
&lt;li&gt;There was renewed enthusiasm to work on grander challenges in a consortia setting. Many different consortia were introduced and some of them are listed here:

&lt;ul&gt;
&lt;li&gt;C-Path Initiative - develops models in consortia for Alzheimers, TB and Polycystic Kidney Disease&lt;/li&gt;
&lt;li&gt;Quantitative Systems Pharmacology (QSP) consortia&lt;/li&gt;
&lt;li&gt;The Right Dose Consortia&lt;/li&gt;
&lt;li&gt;NeuroD Community of Practice under the C-Path initiatives&lt;/li&gt;
&lt;/ul&gt;&lt;/li&gt;
&lt;li&gt;There was discussion on the opportunities that we as a community have to influence precision dosing in the clinic and not just to influence drug development projects.&lt;/li&gt;
&lt;li&gt;A common interest towards crowdsourced incentive based solutions to

&lt;ul&gt;
&lt;li&gt;Convert published literature models into R based models&lt;/li&gt;
&lt;li&gt;Submit these R based models to the DDMore Model Repository&lt;/li&gt;
&lt;li&gt;Develop a crowdsourced meta analysis database that allows micro-contributions from researchers all around the world&lt;/li&gt;
&lt;li&gt;Develop an incentive platform to solve grand challenges in the quantitative clinical drug development and clinical therapeutics&lt;/li&gt;
&lt;li&gt;Develop training material that are freely accessible to the community&lt;/li&gt;
&lt;/ul&gt;&lt;/li&gt;
&lt;li&gt;A new R-based non-linear mixed effect modeling engine called &lt;strong&gt;&lt;em&gt;&lt;a href=&#34;https://github.com/nlmixrdevelopment/nlmixr&#34;&gt;nlmixr&lt;/a&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/li&gt;
&lt;li&gt;Drive towards pre-print publications using the &lt;a href=&#34;http://biorxiv.org/&#34;&gt;bioarxiv&lt;/a&gt; platform&lt;/li&gt;
&lt;li&gt;The most important aspect - there was huge shout out to the champions and their open source tools that are already available in pharmacometrics. The banner image is a timeline and list of the many open source tools available in pharmacometrics as of today.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;There was a lot of enthusiasm at the end of the session about the prospects of an open and collaborative community in pharmacometrics. One of the ideas that was a result of this session is the &lt;strong&gt;&lt;em&gt;Osmosis Project&lt;/em&gt;&lt;/strong&gt; that stands for Open Source Modeling and Simulation Solutions, a term coined by Marc Gastonguay of &lt;a href=&#34;http://metrumrg.com/index.html&#34;&gt;Metrum Institute&lt;/a&gt;. The project will work closely with the excellent efforts of the &lt;strong&gt;&lt;em&gt;&lt;a href=&#34;http://www.ddmore.eu/&#34;&gt;DDMore&lt;/a&gt;&lt;/em&gt;&lt;/strong&gt; consortium and its various aspects. More details will follow up in subsequent posts. Keep an eye out!&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>Open Soure Tools in Pharmacometrics</title>
      <link>https://osmosisfoundation.github.io/post/opensourceinphmx/</link>
      <pubDate>Fri, 28 Oct 2016 11:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/post/opensourceinphmx/</guid>
      <description>&lt;p&gt;The 7&lt;sup&gt;th&lt;/sup&gt; American Confernce in Pharmacometrics was held in Seattle, Washington from October 23 - 27, 2016. On the last day of the conference, there was a session named - &lt;strong&gt;&lt;em&gt;&amp;ldquo;An Overview of Consortia and Open-Source Approaches to Quantitative Drug Development Tools&amp;rdquo;&lt;/em&gt;&lt;/strong&gt;. This was the first time in my short experience in this field that there has been a discussion on the concept of &amp;ldquo;sharing&amp;rdquo; in pharmacometrics. It was bold, new and exciting to see initiatives being taken in our community towards being more collaborative.&lt;/p&gt;

&lt;p&gt;You can find the list of speakers and topic session in the conference program page &lt;a href=&#34;http://www.acop7.org/conference-program&#34;&gt;here&lt;/a&gt;. In the spirit of the topic, all the speakers decided to share their presentations and collaboratively work in the &lt;a href=&#34;https://osf.io/csjf7/&#34;&gt;Open Science Framework&lt;/a&gt; (you need to sign up to the website to use it). All presentations made there will be posted here eventually.&lt;/p&gt;

&lt;p&gt;I would like to summarize to the best of my ability, the overall message of that session.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;There was a clear understanding that there needs to be a shift in the culture of doing science in pharmacometrics to be more open and collaborative.&lt;/li&gt;
&lt;li&gt;There was renewed enthusiasm to work on grander challenges in a consortia setting. Many different consortia were introduced and some of them are listed here:

&lt;ul&gt;
&lt;li&gt;C-Path Initiative - develops models in consortia for Alzheimers, TB and Polycystic Kidney Disease&lt;/li&gt;
&lt;li&gt;Quantitative Systems Pharmacology (QSP) consortia&lt;/li&gt;
&lt;li&gt;The Right Dose Consortia&lt;/li&gt;
&lt;li&gt;NeuroD Community of Practice under the C-Path initiatives&lt;/li&gt;
&lt;/ul&gt;&lt;/li&gt;
&lt;li&gt;There was discussion on the opportunities that we as a community have to influence precision dosing in the clinic and not just to influence drug development projects.&lt;/li&gt;
&lt;li&gt;A common interest towards crowdsourced incentive based solutions to

&lt;ul&gt;
&lt;li&gt;Convert published literature models into R based models&lt;/li&gt;
&lt;li&gt;Submit these R based models to the DDMore Model Repository&lt;/li&gt;
&lt;li&gt;Develop a crowdsourced meta analysis database that allows micro-contributions from researchers all around the world&lt;/li&gt;
&lt;li&gt;Develop an incentive platform to solve grand challenges in the quantitative clinical drug development and clinical therapeutics&lt;/li&gt;
&lt;li&gt;Develop training material that are freely accessible to the community&lt;/li&gt;
&lt;/ul&gt;&lt;/li&gt;
&lt;li&gt;A new R-based non-linear mixed effect modeling engine called &lt;strong&gt;&lt;em&gt;&lt;a href=&#34;https://github.com/nlmixrdevelopment/nlmixr&#34;&gt;nlmixr&lt;/a&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/li&gt;
&lt;li&gt;Drive towards pre-print publications using the [bioarxiv]() platform&lt;/li&gt;
&lt;li&gt;The most important aspect - there was huge shout out to the champions and their open source tools that are already available in pharmacometrics. The banner image is a timeline and list of the many open source tools available in pharmacometrics as of today.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;There was a lot of enthusiasm at the end of the session about the prospects of an open and collaborative community in pharmacometrics. One of the ideas that was a result of this session is the &lt;strong&gt;&lt;em&gt;Osmosis Project&lt;/em&gt;&lt;/strong&gt; that stands for Open Source Modeling and Simulation Solutions, a term coined by Marc Gastonguay of &lt;a href=&#34;http://metrumrg.com/index.html&#34;&gt;Metrum Institute&lt;/a&gt;. The project will work closely with the excellent efforts of the &lt;strong&gt;&lt;em&gt;&lt;a href=&#34;http://www.ddmore.eu/&#34;&gt;DDMore&lt;/a&gt;&lt;/em&gt;&lt;/strong&gt; consortium and its various aspects. More details will follow up in subsequent posts. Keep an eye out!&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>DDMore</title>
      <link>https://osmosisfoundation.github.io/project/ddmore/</link>
      <pubDate>Wed, 27 Apr 2016 00:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/project/ddmore/</guid>
      <description>&lt;p&gt;mrgsolve facilitates simulation in R from hierarchical, ordinary differential equation (ODE) based models typically employed in drug development. The modeler creates a model specification file consisting of R and C++ code that is parsed, compiled, and dynamically loaded into the R session. Input data are passed in and simulated data are returned as R objects, so disk access is never required during the simulation cycle after compiling.&lt;/p&gt;
</description>
    </item>
    
    <item>
      <title>mrgsolve</title>
      <link>https://osmosisfoundation.github.io/project/mrgsolve/</link>
      <pubDate>Wed, 27 Apr 2016 00:00:00 +0000</pubDate>
      
      <guid>https://osmosisfoundation.github.io/project/mrgsolve/</guid>
      <description>&lt;p&gt;mrgsolve facilitates simulation in R from hierarchical, ordinary differential equation (ODE) based models typically employed in drug development. The modeler creates a model specification file consisting of R and C++ code that is parsed, compiled, and dynamically loaded into the R session. Input data are passed in and simulated data are returned as R objects, so disk access is never required during the simulation cycle after compiling.&lt;/p&gt;
</description>
    </item>
    
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