Breaking news

CING Joins Pan-European PoCCardio Initiative to Revolutionize Heart Attack Prediction

by THEFUTURE.TEAM

August 11, 2025

The Cyprus Institute of Neurology and Genetics (CING) has become an integral partner in the European PoCCardio research project, an ambitious initiative designed to enhance the prediction and prevention of myocardial infarctions. This collaboration unites premier research institutions from across the continent in a bid to develop refined, individualised diagnostic tools for cardiovascular disease.

Project Overview And Funding

Titled Personalised Medicine by Using an Advanced Point-Of-Care Tool for Stratified Treatment In High Risk Cardiovascular Patients, the project is set to enroll 1,800 patients with a history of heart attacks in clinical trials. These trials focus on collecting essential medical data and biomarker measurements, thereby advancing diagnostic accuracy and prognostic assessment for heart conditions. The initiative is backed by a robust €14 million budget from the European Union’s Horizon Europe programme, with CING securing €540,000 to support its contribution.

Follow THE FUTURE on LinkedIn, Facebook, Instagram, X and Telegram

Strategic Partnership And Expertise

CING has joined PoCCardio under the Horizon Europe “Hop-on Facility,” part of the program’s Widening Participation and Spreading Excellence initiative. This move allows research institutions from developing countries to engage in forefront research and innovation. Leading the institute’s contribution, the Department of Bioinformatics, well-versed in computational diagnostics and therapeutics, operates under the expert guidance of Associate Scientist Dr Anastasios Oulas. Dr Oulas emphasized that modern bioinformatics is key to predicting myocardial infarction risks, enabling timely, personalised treatments for patients.

Bridging Technical And Clinical Expertise

Professor Hans Peter Dimai, the project coordinator from the Medical University of Graz, hailed CING’s participation. He highlighted the role of CING’s Department of Bioinformatics as a crucial bridge between clinical experience and technical innovation, particularly through Systems Bioinformatics, which is essential for predicting high-risk patients and refining treatment responses.

Innovative Diagnostic Integration

Within the PoCCardio framework, CING’s team will harness advanced network generation tools to map clinically significant interactions among biomarkers. This process involves creating complex networks from genomic and proteomic data alongside publicly available datasets detailing proteins and gene polymorphisms linked to cardiovascular conditions. The resulting algorithms will bolster the prediction of myocardial infarction risks. Furthermore, the department aims to develop a diagnostic protocol that integrates enriched biomarker measurements with data from a point-of-care device, thus streamlining rapid and cost-effective analysis using state-of-the-art artificial intelligence.

Advancing European Research Excellence

CING’s engagement in PoCCardio not only cements its role as a key player in cutting-edge European research but also reinforces Horizon Europe’s overarching mission to enhance innovation and research excellence across the continent. The collaborative efforts promise to yield significant advancements in cardiovascular patient care and diagnostic services.

The Future Forbes Realty Global Properties

by News Editor

August 24, 2026

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Follow THE FUTURE on LinkedIn, Facebook, Instagram, X and Telegram

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.