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<p>Apologies for cross-posting<br>
<br>
<b>DEADLINE EXTENDED to May 22nd</b><br>
<br>
Special Session on <b>Computational Intelligence in Personalized
Medicine</b><br>
<br>
19th Conference on Computational Intelligence methods for
Bioinformatics and Biostatistics (<b>CIBB 2024</b>)<br>
<br>
=================<br>
CALL FOR PAPERS<br>
=================<br>
<br>
September 4-6, 2024, Benevento, Italy<br>
Submission:
<a class="moz-txt-link-freetext" href="https://www.bioinformatics-sannio.org/cibb2024/index.php#submission">https://www.bioinformatics-sannio.org/cibb2024/index.php#submission</a><br>
<br>
Aims & Scope<br>
------------<br>
Increased life expectancies and the expectation of universal
medical care provision in modern societies clash with the
increasing costs of meeting those challenges. The promises of
Personalized Medicine (PM) may become wishful thinking unless they
deliver on cost efficiency. The most promising avenue to deliver
on such efficiency is the use of data science approaches. The use
of data-centred Computational Intelligence (CI) methods is
becoming an important tool in healthcare and medical applications
for providing enhanced diagnosis and prognosis tailored to the
patient's characteristics and needs. Data-intensive assays,
widespread sensorization and big data technologies enable the
capturing and sharing of increasingly larger amounts of biomedical
data, which need to be exploited through computational analysis in
order to discover meaningful patterns in data. CI methods,
including machine learning in general (and deep learning in
particular) as well as other soft computing approaches are at the
forefront of efficient complex medical and omics data analysis. In
this special session, we call for new research on applications
that, using CI approaches, can provide efficient solutions for the
development of PM applications based on biomedical and
bioinformatics data.<br>
<br>
Topics of interest include, but are not limited to:<br>
· Applications of personalized medicine based on CI methods<br>
· Biomedical pattern recognition using machine learning for
PM<br>
· Data-intensive biomedical assays<br>
· Biomedical data sharing and harmonization<br>
· Regulation of CI-based medical devices Interpretable,
explainable and transparent CI methods for PM<br>
<br>
Important Dates<br>
--------------------------<br>
<b>Paper submission: May 22, 2024</b><br>
Paper decision notification: June 20, 2024<br>
<br>
Session Chairs<br>
------------------------<br>
Dr. Caroline König, <br>
Prof. Dr. Alfredo Vellido, <br>
UPC BarcelonaTech and IDEAI-UPC Research Center, Barcelona, Spain.<br>
<br>
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