Opendata, web and dolomites

BIOMORPHIC SIGNED

Brain-Inspired Organic Modular Lab-on-a-Chip for Cell Classification

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 BIOMORPHIC project word cloud

Explore the words cloud of the BIOMORPHIC project. It provides you a very rough idea of what is the project "BIOMORPHIC" about.

chip    published    whereas    detecting    recognition    hence    accurately    ground    big    analysing    materials    energy    collecting    serve    medical    combine    circulating    interconnected    prevalence    learning    network    sensors    efficiency    organic    invasive    exceptionally    modular    pattern    obtain    cell    largely    unexplored    unprecedented    array    create    vital    significantly    conductive    computing    desired    microfluidics    alternative    pioneering    biomorphic    demonstrated    block    offers    ctcs    advancements    generally    ctc    tuned    injection    biological    cells    strength    classification    breaking    patterns    blood    volatility    machine    pi    platform    lies    data    conductance    neuromorphics    single    trigger    synapse    detection    building    ion    synapses    complicate    isolating    date    cancer    polymer    image    tumour    solution    lab    presented    artificial    input    multitude    variability    unstructured    brain    drawbacks    true    neuromorphic    precisely    nature    interconnectivity    inspired   

Project "BIOMORPHIC" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITEIT EINDHOVEN 

Organization address
address: GROENE LOPER 3
city: EINDHOVEN
postcode: 5612 AE
website: www.tue.nl/en

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Netherlands [NL]
 Total cost 1˙498˙726 €
 EC max contribution 1˙498˙726 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2023-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT EINDHOVEN NL (EINDHOVEN) coordinator 1˙498˙726.00

Map

 Project objective

Brain-inspired (neuromorphic) computing has recently demonstrated advancements in pattern and image recognition as well as classification of unstructured (big) data. However, the volatility and energy required for neuromorphic devices presented to date significantly complicate the path to achieve the interconnectivity and efficiency of the brain. In previous work, recently published in Nature Materials, the PI has demonstrated a low-cost solution to these drawbacks: an organic artificial synapse as a building-block for organic neuromorphics. The conductance of this single synapse can be accurately tuned by controlled ion injection in the conductive polymer, which could trigger unprecedented low-energy analogue computing. Hence, the major challenge in the largely unexplored field of organic neuromorphics, is to create an interconnected network of these synapses to obtain a true neuromorphic array which will not only be exceptionally pioneering in materials research for neuromorphics and machine-learning, but can also be adopted in a multitude of vital medical research devices. BIOMORPHIC will develop a unique brain-inspired organic lab-on-a-chip in which microfluidics integrated with sensors, collecting characteristics of biological cells, will serve as input to the neuromorphic array. BIOMORPHIC will combine modular microfluidics and machine-learning to develop a novel platform for low-cost lab-on-a-chip devices capable of on-chip cell classification. In particular, BIOMORPHIC will focus on the detection of circulating tumour cells (CTC). Current methods for the detection of cancer are generally invasive, whereas analysing CTCs in blood offers a highly desired alternative. However, accurately detecting and isolating these cells remains a challenge due to their low prevalence and large variability. The strength of neuromorphics precisely lies in finding patterns in such variable data, which will result in a ground-breaking CTC classification lab-on-a-chip.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "BIOMORPHIC" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "BIOMORPHIC" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

SUExp (2018)

Strategic Uncertainty: An Experimental Investigation

Read More  

InsideChromatin (2019)

Towards Realistic Modelling of Nucleosome Organization Inside Functional Chromatin Domains

Read More  

DISINTEGRATION (2019)

The Mass Politics of Disintegration

Read More