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d="png'150?scan'150,208,217,150";a="210286403" Received: from metical.cs.stir.ac.uk ([139.153.254.199]) by mail3-smtp-sop.national.inria.fr with ESMTP/TLS/AES256-SHA; 21 Jan 2017 18:28:06 +0100 Received: from d253144.cs.stir.ac.uk ([139.153.253.144]) by metical.cs.stir.ac.uk with esmtpsa (TLS1.0:DHE_RSA_AES_256_CBC_SHA1:32) (Exim 4.72) (envelope-from ) id 1cUyyo-0007k1-R1; Sat, 21 Jan 2017 16:57:30 +0000 From: Andrea Bracciali Content-Type: multipart/alternative; boundary="Apple-Mail=_DE22D7CB-331A-4EDE-9284-469D18240C13" Date: Sat, 21 Jan 2017 16:57:27 +0000 References: <819553DD-F9A7-4271-9F5C-C358C0570AD0@cs.stir.ac.uk> Message-Id: Mime-Version: 1.0 (Mac OS X Mail 9.3 \(3124\)) X-Mailer: Apple Mail (2.3124) X-Validation-by: abb@cs.stir.ac.uk Subject: [Caml-list] BIOTECHNO 2017 --- LAST cfp --Apple-Mail=_DE22D7CB-331A-4EDE-9284-469D18240C13 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset=utf-8 [apologies for cross-posting!] Call for Contributions Inform the Chair: with the Title of your Contribution Submission URL:=20 https://www.iariasubmit.org/conferences/submit/newcontribution.php?event=3D= BIOTECHNO+2017+Special =20 Please select Track Preference as MLPM =E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2= =80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80= =94=E2=80=94=E2=80=94 Special track MLPM: Machine Learning Approaches to Precision Medicine Chair and Coordinator: Alexandru Floares, Md, PhD, President of SAIA Institute - Cluj, Romania alexandru.floares@saia-institute.org Co-Chair: Dr. Andrea Bracciali, SICSA Lecturer, University of Stirling, UK abb@cs.stir.ac.uk along with BIOTECHNO 2017, May 21 - 25, 2017 - Barcelona, Spain The Ninth International Conference on Bioinformatics, Biocomputational Syst= ems and Biotechnologies http://www.iaria.org/conferences2017/BIOTECHNO17.html =E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2= =80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80= =94=E2=80=94=E2=80=94 The common biomedical community conception is that Precision Medicine=E2=80= =99s goals can be reached only by increasing the accuracy of wet lab measur= ements. The results of biological experiments enter more and more into the = realm of Big Data. Big Data do not talk themselves. Data should be preproce= ssed and analyzed. Moreover, identifying differentially expressed genes sho= uld not be the final result of the bioinformatic analysis, being an incompl= ete response to a potentially significant biomedical question. This is why = we will not often see studies reporting the results of a t-test or similar = algorithms, for a classification problem, in other fields than biomedical r= esearch. Most of them end with a classifier, developed using machine learni= ng techniques. So, accurate measurements of informative classes of biomedical variables, e= ither molecules or extracted from medical images, combined with adequate ma= chine learning methods, could lead to Precision Medicine. These can be used= to develop highly accurate, robust (generalizing well to new cases) and tr= ansparent (easy to understand) predictive models. However, biological syste= ms are highly redundant, and this is related to their amazing robustness. T= he usual machine learning approach, exclusively focused on identifying the = minimal subset of relevant variables, while perfectly justified, preclude r= edundancy understanding and exploiting. Thus, new machine learning methods = or adapting the existing ones is needed. The special session opens to everybody as well as industrial partners to ma= ke contributions in this area. Topics for this session include but are not limited to: =EF=82=B7 Predictive models for diagnosis, prognosis and response to treat= ment =EF=82=B7 Biomedical image processing and analysis =EF=82=B7 Analysis of high-throughput biotechnology data =EF=82=B7 Machine learning integration with Electronic Health Records =EF=82=B7 Machine learning approaches to liquid biopsy =EF=82=B7 Machine learning approaches to redundancy understanding and expl= oiting =EF=82=B7 Evaluation and use of information technology in healthcare =EF=82=B7 Industrial challenges in bioinformatics =EF=82=B7 Future directions and challenges in bioinformatics Important Datelines - Inform the Chair: As soon as you decided and secured the financial suppor= t - Submission: February 3 - Notification with comments for camera-ready: March 3 - Registration: March 18 - Camera ready: April 9 Contribution Types - Regular papers [in the proceedings, digital library] - Short papers (work in progress) [in the proceedings, digital library] - P= osters: two pages [in the proceedings, digital library] - Posters: slide only [slide-deck posted on www.iaria.org ] - Presentations: slide only [slide-deck posted on www.iaria.org ] - Demos: two pages [posted on www.iaria.org ] Paper Format - See: http://www.iaria.org/format.html - Before submission, please check and comply with the editorial rules: http= ://www.iaria.org/editorialrules.html Publications - Extended versions of selected papers will be published in IARIA Journals:= http://www.iariajournals.org - Print proceedings will be available via Cur= ran Associates, Inc.: http://www.proceedings.com/9769.html - Articles will = be archived in the free access ThinkMind Digital Library: http://www.thinkm= ind.org Paper Submission https://www.iariasubmit.org/conferences/submit/newcontribution.php?event=3D= BIOTECHNO+2017+Special Please select Track Preference as MLPM Registration - Each accepted paper needs at least one full registration, before the came= ra-ready manuscript can be included in the proceedings. - Registration fees are available at http://www.iaria.org/registration.html Contact Alexandru Floares, Md, PhD, President of SAIA Institute, Romania alexandru.= floares@saia-institute.org=20 Logistics: steve@iaria.org --Apple-Mail=_DE22D7CB-331A-4EDE-9284-469D18240C13 Content-Type: multipart/related; type="text/html"; boundary="Apple-Mail=_E6A37947-2728-4F22-AACB-F86A106DAE75" --Apple-Mail=_E6A37947-2728-4F22-AACB-F86A106DAE75 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset=utf-8

[apologies for cross-posting!]


=09=09 =09 =09

Call for Contributions

Inf= orm the Chair: with the Title of your Contribution

Submission URL: 

https://www.iariasubmit.org/conferences/= submit/newcontribution.php?event=3DBIOTECHNO+2017+Special <= /font>

Please s= elect Track Preference as MLPM


=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80= =94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94= =E2=80=94=E2=80=94=E2=80=94
Special t= rack

MLP= M: Machine Learning Approaches to Precision Medicine

Chair and Coordinator:
Alexandru Floares, Md, PhD, President of = SAIA Institute - Cluj, Romania
alexandru.floa= res@saia-institute.org

Co-Chair:
Dr. Andrea Bracciali,= SICSA Lecturer, University of Stirling, UK
abb@cs.stir.ac.uk

along with
BIOTECHNO 2017, May 21 - 25, 2017 - Barcelona= , Spain
The Ninth International Confe= rence on Bioinformatics, Biocomputational Systems and Biotechnologies
http://www.iaria.org/conferences2017/BIOTECHNO17.html
=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2= =80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80= =94=E2=80=94=E2=80=94=E2=80=94=E2=80=94=E2=80=94


The common biomedical = community conception is that Precision Medicine=E2=80=99s goals can be reac= hed only by increasing the accuracy of wet lab measurements. The results of biological = experiments enter more and more into the realm of Big Data. Big Data do not talk themselves. Data should be= preprocessed and analyzed. Moreover, identifying differentially expressed genes should not be the fina= l result of the bioinformatic analysis, being an incomplete response to a potentially significant biomedical questi= on. This is why we will not often see studies reporting the results of a t-test or similar algorithms, for a clas= sification problem, in other fields than biomedical research. Most of them end with a classifier, developed using ma= chine learning techniques.

So, acc= urate measurements of informative classes of biomedical variables, either m= olecules or extracted from medical images, combined with adequate machine learning methods, could= lead to Precision Medicine. These can be used to develop highly accurate, robust (generalizing well to = new cases) and transparent (easy to understand) predictive models. However, biological systems are highly redun= dant, and this is related to their amazing robustness. The usual machine learning approach, exclusively focuse= d on identifying the minimal subset of relevant variables, while perfectly justified, preclude redundanc= y understanding and exploiting. Thus, new machine learning methods or adapting the existing ones is needed.

The spe= cial session opens to everybody as well as industrial partners to make cont= ributions in this area.

Topics for this session include but are not limited to:

  • =EF=82=B7  Predictive models for diagnosis, prognosis and response = to treatment

  • =EF=82=B7  Biomedical image processing and analysis

  • =EF=82=B7  Analysis of high-throughput biotechnology data

  • =EF=82=B7  Machine learning integration with Electronic Health Reco= rds

  • =EF=82=B7  Machine learning approaches to liquid biopsy

  • =EF=82=B7  Machine learning approaches to redundancy understanding = and exploiting

  • =EF=82=B7 &n= bsp;Evaluation and use of information technology in healthcare

  • =EF=82=B7  Industrial challenges in bioinformatics

  • =EF=82=B7  Future directions and challenges in bioinformatics

    Important Datelines<= /b>

    - Inform the Chair: As soon as you deci= ded and secured the financial support - Submission: February 3
    - Notification with comments for camera-ready: March 3
    - Registration: March 18
    • - Cam= era ready: April 9

    Contribution Types

    - R= egular papers [in the proceedings, digital library]
    - Short p= apers (work in progress) [in the proceedings, digital library] - Poste= rs: two pages [in the proceedings, digital library]
    - Posters= : slide only [slide-deck posted on www.iaria.org]
    - Presentations: slide only [slide-d= eck posted on www.iaria.org]
    - Demos: two pages [posted on     www.iaria.org]

    Paper Format

    - See: http://www.iaria.org/format.ht= ml
    - Before submission, please check and comply with the = editorial rules: http://www.iaria.org/editorialrules.html

    Publications

    - Ext= ended versions of selected papers will be published in IARIA Journals: = ;http://www.iariajourna= ls.org - Print proceedings will be available via Curran = Associates, Inc.: http://www.proceedings.com/9769.html - Articles will be ar= chived in the free access ThinkMind Digital Library: http://www.thinkmind.org

    Paper Submission

    https://www.iariasu= bmit.org/conferences/submit/newcontribution.php?event=3DBIOTECHNO+2017+Spec= ial
    Please select Track Preference as MLPM

    Registration

    - Each accepted paper needs at least one full registration, before th= e camera-ready manuscript can be included in the proceedings.
    - Registration fees are available at http://www.iaria.org/regist= ration.html


    3D"page2im=
    Contact
    Alexandru Floares, Md, PhD= , President of SAIA Institute, Romania alexandru.floares@saia-institut= e.org 


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