Final Program
Special Session 1:
New Trends in Cardio Signal Processing
From cardio signals: electrocardiograms (ECG), phonocardiograms (PCG), ultrasound (US) images, different relevant information about the state of cardiovascular system can be derived. By processing such signals and extracting relevant information, computer-assisted diagnosis is possible. Authors are invited to submit their recent results in this field.
Special Session organizers are Prof. Dr. Irini Reljin, irini@etf.rs, and Dr. Ana Gavrovska, anaga777@gmail.com, from University of Belgrade, School of Electrical Engineering.
Papers for this Special Session should be registered and uploaded through NEUREL official site. Authors are encouraged to sent such papers also to Session organizers. Accepted papers for Special Session will be subject to additional reduced conference fee.
We cordially invite you to take a part in this Special Session.
Special Session 2:
Memorial Session devoted to Prof. Paul Dan Cristea
As a memory to late Prof. Paul Dan Cristea (1941-2013), our respectable TPC member, true friend, and extraordinary person, the Organizing Committee of the NEUREL 2014 decided to organize Special Session devoted to Prof. Cristea.
Special Session organizer is Prof. Bujour Pavaloiu, bujor.pavaloiu@ing.pub.ro, from University POLITEHNICA of Bucharest.
Papers for this Special Session should be registered and uploaded through NEUREL official site. Authors are encouraged to sent such papers also to Session organizer. Accepted papers for Special Session will be subject to additional reduced conference fee.
We cordially invite you to take a part in this Special Session.
Invited Lecture 1: "The fourth element or the missing memristor"
Lecturer: Prof. Valeri Mladenov (1)
Affiliation:
1. Technical University Sofia, Bulgaria
Email: valerim@tu-sofia.bg
Abstract:
In 1971 Leon Chua reasoned from symmetry arguments that there should be a fourth fundamental element, which he called a memristor (short for memory resistor). Although he showed that such an element has many interesting and valuable circuit properties, until 2008 no one has presented either a useful physical model or an example of a memristor. In the paper in Nature (2008) the team of Stan Williams show, using a simple analytical example, that memristance arises naturally in nanoscale systems in which solid-state electronic and ionic transport are coupled under an external bias voltage. These results serve as the foundation for understanding a wide range of hysteretic current–voltage behavior observed in many nanoscale electronic that involve the motion of charged atomic or molecular species, in particular certain titanium dioxide cross-point switches.
In the talk a brief overview of the memristors will be given and the potential applications will be presented. A promising application of memristor is based on its property to imitate natural nerves. Some research groups use such memristors as key components in a blueprint for an artificial brain. A memristor that is capable of learning will be considered at the end of the talk as well.
Invited Lecture 2: “Role of Competitive Challenges in Personalized Medicine”
Lecturers: Damjan Krstajic (1), (2), (3), Ljubomir Buturovic (1)
Affiliations:
1. Clinical Persona Inc, 932 Mouton Circle, East Palo Alto, CA 94303, USA
2. Research Centre for Cheminformatics, Jasenova 7, 11030 Beograd, Serbia
3. Laboratory for Molecular Biomedicine, Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11010 Beograd, Serbia
Emails: Damjan.Krstajic@rcc.org.rs, ljubomir@clinicalpersona.com
Abstract:
Personalized medicine is widely expected to play a key role in the future of healthcare. It is based on new technologies which enable us to find genetic differences between individuals and as a result give us a chance to identify patients likely to benefit from a treatment. One of the key challenges to its’ advance is insufficient amount of clinically-annotated genomic data available in the public domain. To address this issue, a consortium named Dialogue for Reverse Engineering Assessments and Methods (DREAM) was setup to bring the larger community to work together on major issues in the field. The main idea is to bring more data in the public domain and to pose personalized medicine problems as competitive challenges (competitions) with deadlines and non-commercial rewards for winners. Anybody from around the world is allowed to participate, and researchers from leading world universities have joined in. In the latest challenge the goal was to predict relevant clinical outcomes of Acute Myeloid Leukemia patients treated with standard chemotherapy regimen, using a combination of clinical (age, sex, lab test results etc.) and genomic data. The final results of the competition were released in October 2014. Team Clinical Persona placed third in predicting remission duration and fourth in estimating overall survival.
The purpose of our talk is twofold. First, we show the benefits of public competitions in science and especially in predictive modeling. Second, we show our lessons from participating in the challenge.
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