Call for Application Experiments Based on Advanced Microelectronics & Smart System Integration Targeting Health, Agrifood, and Manufacturing

The EU-funded network of digital innovation hubs DIATOMIC will distribute EUR 1.5 M to European SMEs, midcaps and Competence Centers. DIATOMIC is looking to accelerate development and adoption of new products/processes based on smart electronics and smart systems in health, agrifood, and manufacturing sectors. The call for applications is open from 15 March to 15 June.

Starting from 15 March 2018, DIATOMIC, a pan-European network of Digital Innovation Hubs, is looking to support innovative and scalable application experiments within advanced microelectronics (AME) technologies and smart system integration (SSI) domains. By bringing SMEs/midcaps and Competence Centres together, these experiments will result in quick, low-risk development of AME/SSI based products and processes.

"In both fast moving and competitive markets, the long-term success of higher valued products with 'digital inside' more often than not require resources that are generally out of reach for SMEs/midcaps. Therefore, DIATOMIC will provide the right tools to make experimentation with advanced microelectronics, as well as, smart system integration technologies simple, attainable and effective," says Dr. Raimund Bröchler (INTRASOFT Intl), DIATOMIC coordinator.

Designed as a one-stop shop, DIATOMIC pulls together resources and expertise from each Digital Innovation Hub, offering a comprehensive service package: advanced testbed and experimentation facilities, needs-based business and matchmaking services, and much more.

Small consortia consisting of 2 to 3 partners, from the EU and associated countries are invited to apply for up to €200,000 per application experiment. Microelectronics components and smart system integration are considered as an essential part of proposed technological concepts, starting from a Technology Readiness Level (TRL) of 3. In addition, consortia are requested to provide an initial exploitation plan for their experiments. Following selection and evaluation process, each experiment will enter DIATOMIC Design-Develop-Market program lasting between 9 and 15 months.

"We are looking for promising AME/SSI based products and services to serve and disrupt health, agrifood, and manufacturing sectors and will support them from prototype to market - in terms of technology, funding, and business support," comments Dr. Bröchler. Tech-providers can sign up for DIATOMIC one-stop shop platform - which enables them to offer their resources/facilities through one of our innovation hubs and subsequently cater to the needs of SMEs/midcaps. Additionally, for the purposes of consortium building, SMEs/midcaps can refer to DIATOMIC brokerage helpdesk on F6S.

For more Open Call documentation, please visit:
http://diatomic.eu

About Diatomic

DIATOMIC is a Europe-wide, EC-backed network of Digital Innovation Hubs, with €3 million committed in funding for microelectronics SMEs and midcaps. In alignment with the Smart Anything Everywhere initiative goals, DIATOMIC aims to be Europe's foremost network of innovation hubs in the industries of health, agrifood, and manufacturing.

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Building Trust in Artificial Intelligenc…

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...