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(This article was first published on <strong><a href="http://www.milanor.net/blog/rlab5-report-rlab6-ready/"> MilanoR</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p>Hello, everyone!<br>
We are ready to host the new <strong>R-Lab#6</strong>, the <strong>19th of March</strong>! Since its goals are strictly connected to the past R-Lab ˗ but there’s also exciting news that we’ll introduce at the end of the piece, so stay focused ˗ I thought you’d want to know how it went.</p>
<p>This time, we talked about <strong>personalized medicine using R</strong>. The event was <strong>sold-out</strong>; if fact, the whole room was full of smart and passionate people! It was so fun and interesting and I can’t thank you all enough. I’m here to keep up-to-date everyone who couldn’t be there and to refresh the memories of those who participated.</p>
<p>As the event started, <strong>Riccardo Rossi</strong> – computational biologist and bioinformatics facility manager at INGM (Istituto Nazionale Genetica Molecolare) in Milan – explained to the audience the meaning of “personalized medicine”. He also explained the benefits of automatically calculating the risks of some illnesses using <strong>personal data</strong> such as height, weight, age but also more medical data such as blood pressure.</p>
<p>Medical guidelines, given and used by the <strong>World Health Organization</strong>, already exist to assess risks of<strong> obesity, type two diabetes, hypertension and cardiovascular health</strong>; our goal was to turn them into a <strong>web-app</strong> which everyone could easily get access to.</p>
<p>During the second part of the event, <strong>Andrea Melloncelli</strong> explained why it was convenient to turn these algorithms into <strong>R functions</strong> and how to do it. After this brief theoretical part, we divided into<strong> five groups</strong>: one for each algorithm plus a special one working with the Shiny app.</p>
<p>The work is going really well, but <strong>the app still isn’t finished</strong>, so don’t miss our sixth R-Lab, where we will complete it and make it public. We are also introducing a new technique to improve our coding skills: the <strong>Test First Development</strong>! You can find all the information about TFD and the event in general, plus <strong>registration</strong>, <a rel="nofollow" href="https://www.meetup.com/it-IT/R-Lab-Milano/events/248445820/" target="_blank">here</a>. In the meantime, you can look at the full explanation of this past event in our official <strong><a rel="nofollow" href="https://www.meetup.com/it-IT/R-Lab-Milano/" target="_blank">Meetup</a></strong> (which is also the best way to keep updated about RLabs and meetings) and all the materials, such as presentations and data, on <strong><a rel="nofollow" href="https://github.com/r-lab-milano/r-lab5" target="_blank">GitHub</a></strong>.<br>
<strong>Thank you</strong> as always for your support and participation!</p>
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<p>The post <a rel="nofollow" href="http://www.milanor.net/blog/rlab5-report-rlab6-ready/" target="_blank">R-Lab#5: the report &amp; R-Lab#6 ready to go!</a> appeared first on <a rel="nofollow" href="http://www.milanor.net/blog" target="_blank">MilanoR</a>.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://www.milanor.net/blog/rlab5-report-rlab6-ready/"> MilanoR</a></strong>.</div>
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