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

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.

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.

Meta’s Muse Is Outpacing ChatGPT In Early Mobile Adoption, New Data Suggests

Meta’s new AI app, Muse, may be emerging as one of the company’s strongest consumer launches to date. Fresh estimates from market intelligence firm Apptopia suggest the app has outperformed ChatGPT in early mobile traction, at least in the U.S. and Canada.

According to Apptopia, Muse recorded more downloads in its first 12 days on the market than ChatGPT did during the comparable period after its mobile debut. The comparison, limited to the U.S. and Canada, puts Muse’s iOS downloads at 1.8 million versus 1.3 million for ChatGPT over the same initial window.

A Strong Early Start Across Platforms

In total, Muse has reached 2.8 million global installs in its first 12 days, according to the firm. The app’s momentum also appears to be holding. After debuting at No. 2 on the U.S. App Store, Muse has since climbed to No. 1, surpassing ChatGPT, according to reporting from Business Insider. Appfigures had previously estimated that Muse crossed 1 million downloads shortly after launch.

That early rise matters because app-store performance in the first days after launch often signals whether a product can sustain consumer attention beyond initial curiosity. In Meta’s case, the data suggests Muse is not simply benefiting from novelty; it is gaining ground quickly enough to challenge the category leader.

Daily Users Show Similar Momentum

Apptopia’s estimates point to another favorable comparison for Meta: daily usage. In the U.S. alone, Muse is said to have 642,000 daily active users, well above the 231,000 ChatGPT had at the same stage of its mobile rollout.

To make the comparison fairer, Apptopia also narrowed the analysis to iOS only, since ChatGPT launched on iPhone before expanding more broadly. Even under that tighter lens, Muse still comes out ahead, with 359,000 daily active users on iOS compared with ChatGPT’s earlier figure.

Why Meta Has An Advantage

Third-party estimates are not the same as internal company data, and Apptopia cannot see Meta’s proprietary numbers. Still, even directional data suggests Muse may be on track to become a meaningful consumer product for Meta.

That possibility is strengthened by Meta’s distribution advantage. The company has already demonstrated how powerful its ecosystem can be with Threads, which surpassed 500 million users after heavy promotion across Instagram and Facebook. Muse is likely to receive a similar boost, especially because it can connect across Facebook, Instagram, and WhatsApp.

Apptopia does not track Meta’s internal promotion strategy, but its data indicates that more than 95% of Muse users are also Facebook users, while 63% are Instagram users. That overlap underscores how effectively Meta can move users across its products when it chooses to prioritize a launch.

The Strategic Test For Meta

For Meta, the early signal from Muse is less about one app’s download count than about whether the company can turn its scale into durable AI adoption. The first test is attention. The harder one is retention.

If Muse can convert early downloads into habitual use, Meta may have found a new front door into its AI ambitions. If not, the app risks becoming another example of how easily mobile hype can spike before settling back down.

Meta, which was asked for comment, has not yet released public figures on Muse’s early adoption.

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