2nd LCAOS Workshop

 

Workshop on Lung Cancer Detection with Sensor Arrays

September, 18-19, 2014 – Majorca, Palma, Spain

 

Current lung cancer (LC) detection is far from being ideal. LC is the most lethal type of cancer, accounting for around 28% of cancer-related deaths globally. Its detection is usually accompanied by a late developmental stage and, therefore, a terrible prognosis. The tests that are being used nowadays are basically based on bronchoscope biopsies, pulmonary punctures, and computer tomography (CT), which often identify tumors at an intolerably late stage of the disease, occasionally miss tumors, and sometimes provide high rates of false positives, a fact that leads to over-utilization of the medical systems and to unnecessary medical procedures. Based on the results, it is obvious that there is, to say the least, room for improvement. There is no doubt that these methods are not suited for extensive screening as they are not efficient in terms of time and costs and, more importantly, are unpleasant for the patient and not free of complications. Detecting LC in its early stages, while still localized, may just be the way to lower the unbearably large mortality/incidence ratio LC originates, as it can be expected to increase the 5-year-survival rate by 3-4 times.

The Lung Cancer Artificial Olfactory System (LCAOS) project is a European Union (EU) funded collaborative under the 7th Framework Program which mainly focuses on the discovery of the earliest possible detection of LC using volatile markers present in exhaled breath and/or headspace of LC tissues/cells by applying a novel, non-invasive, easy-to-use chemical nanoarray. The chemical nanoarray is designed to screen and identify high risk groups for LC, and monitor the therapy provided to people affected by LC to establish point-of-care diagnostics and less invasive treatments.

The LCAOS workshop aims to bring the latest updates on volatile markers for early diagnosis and classification of LC. Additionally, the latest updates on chemical sensors and nanoarrays for the diagnosis of LC via volatile markers will also be discussed. The workshop will be cover in four main topics:

  • Lung Cancer Biomarkers
  • Volatile Biomarkers if Lung Cancer
  • Sensors and Tools for Lung Cancer
  • Machine Learning

The LCAOS workshop will bring together scientists, engineers, clinicians, industry executives, and entrepreneurs to debate key trends, future directions, and technologies available for chemical sensors and nanoarrays for LC diagnosis via volatile markers.

Conference Speakers: Prof. Hossam Haick, Prof. Nir Peled, Prof. John Field, Dr. Jens Herbig, Dr. Elwin Vrouwe, and Prof. José S. Torrecilla.
Structure:

Oral and poster contributions are welcome. Abstracts have to be composed following the provided template. Abstracts have to be sent through the LCAOS website at www.lcaos.eu/workshop2014/.or www.algoreach.com  Once your abstract is accepted, you will need to either prepare an oral presentation or to develop a poster. Instructions will follow along with acceptance.

Location:

The LCAOS Workshop will be held at the Hotel Meliá Palas Atenea, Paseo Ingeniero Gabriel Roca, 29

Majorca - Palma 07014 .Spain. Check in: https://meetings.melia.com/en/lcaosworkshop.html

Major Deadlines:

Abstract submission:             May 15, 2014

Letter of acceptance:             May 25 2013

Registration of lecturers:      June 15, 2014

Early registration:                 June 31, 2014

Standard registration:           August 15, 2014

Late poster registration will be possible until August 15, 2014 in case space is available.

Organizing Committee:

Prof. Hossam Haick  Chairman

Technion – Israel Institute of Technology

Email: hhossam@technion.ac.il

Website: www.lcaos.eu

Prof. José S. Torrecilla

Universidad Complutense de Madrid

Email: jstorrecilla@ucm.es

Website: www.algoreach.com

Prof. Nir Peled

Sheba Medical Center

 

Email: peled.nir@sheba.health.gov.il

Website: medicine.mytau.org/peled/

Dr. Jan Mitrovics

JLM Innovation GmbH

 

Email: jan.mitrovics@jlm-innovation.de

Website: www.jlm-innovation.de