Open Call HORIZON-EIC-2022-PATHFINDERCHALLENGES-01-05: DNA-Based Digital Data Storage

European Commission Current technologies for digital data storage are hitting sustainability limits in terms of energy consumption and their use of rare and toxic materials. Moreover, data integrity when using those technologies is limited in time, which complicates archival data-storage. DNA or certain classes of synthetic DNA alternatives provide an alternative that promises information densities that are several orders of magnitude higher than classical memories, and stability for millennia rather than years. Moreover, DNA-based data storage can profit from the growing range of DNA research, tools and techniques from the life sciences, while potentially also adding to it (e.g., for in-vivo data collection).

Proof of concept for DNA data archiving in vitro (i.e. not in living cells) is now well established. Several studies have shown that such archiving can support selective and scalable access to data, as well as error-free storage and retrieval of information. However, technical challenges remain to make this process economically viable for a broad spectrum of uses (beyond so-called 'cold data') and data types. These relate to improving the cost, speed and efficiency of technologies for reading, and especially writing and editing, DNA or other information-storing bio-polymers.

Large corporates and governments are starting to show an interest and some smaller companies offer solutions for specific archival applications. Europe has academic and commercial potential in this area. The time is right to pull together a European R&I ecosystem on DNA-based digital data storage.

This EIC Pathfinder Challenge is to explore scalable and reliable high-throughput approaches for using DNA as a general data-storage medium. Solutions would thus need to address the read/write/edit operations of digital data in synthetic DNA, capturing the expected advantages of high density and stability/longevity of this form of data storage. The use of DNA sequences as chassis for non-standard forms of information coding, or of other polymeric substrates and related coding/decoding techniques are also in scope, provided they entail at least similar benefits than state-of-the-art DNA approaches. Proposed techniques should deliver qualitative advances in key parameters such as throughput, DNA-length (well above a few hundred mers), reliability (coupling efficiency), speed and cost. Beyond the usual storage applications, there is also scope for radically different scenarios for such a technology, for instance for data-processing, in-vivo sensing or fingerprinting.

Applications submitted to this Challenge, must pay particular attention to the relevant bio-safety and ethical issues.

Opening date: 16 June 2022

Deadline: 19 October 2022 17:00:00 Brussels time

Deadline Model: single-stage

Type of action: HORIZON-EIC HORIZON EIC Grants

For topic conditions, documents and submission service, please visit:
https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-eic-2022-pathfinderchallenges-01-05

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...