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MULTIANALYTE DIGITAL SENSING WITH QR-CODE MICRONEEDLES FOR MINIMALLY INVASIVE EARLY DIAGNOSIS OF ALZHEIMER

Project
ALERT introduces a groundbreaking leap in medical diagnostics, redefining in-vivo sensing with a pioneering digital approach. This revolutionary technology centers on multianalyte digital sensing via QR-coded microneedles—engineered for minimally invasive, highly accurate, and real-time measurement of critical disease biomarkers directly from plasma beneath the skin. Seamlessly integrating digital innovation with advanced biomedical sensing, ALERT’s microneedles encode biomarker data into a scannable digital QR code, enabling instant and precise diagnostics. These microneedles operate through a unique binary fluorescence mechanism, switching distinctly "on" or "off" when biomarker concentrations cross predefined clinical thresholds. This digital paradigm eradicates the need for external calibration—a key limitation of traditional analog chemical sensors—ensuring enhanced accuracy, reliability, and ease of use in real-world applications. With a main focus on early detection of Alzheimer’s Disease (AD), ALERT tackles a pressing global health challenge, particularly urgent given the rapidly aging population. AD often remains clinically undetected for 15 to 20 years, making early diagnosis crucial for improving patient outcomes and reducing the immense social and economic burdens of late-stage management. ALERT's approach includes rigorous validation in animal models, well-defined Key Performance Indicators, advanced material synthesis, cutting-edge device fabrication, and proactive risk mitigation strategies. Beyond revolutionizing AD diagnostics, ALERT’s digital QR-code microneedle platform holds vast potential for broader medical applications, including early detection of cancer, sepsis, and infectious diseases. Its adaptability extends even further, with applications in environmental monitoring, precision agriculture, and food safety.
  • Overview
  • Skills

Overview

Contributor (2)

GIULIANI Daniela   Scientific Manager  
OTTANI Alessandra   Participant  

Leading department

Department of Biomedical, Metabolic and Neural Sciences   Principale  

Term type

HORIZON EUROPE

Financier

UNIONE EUROPEA
Funding Organization

Partner

Università degli Studi di MODENA e REGGIO EMILIA

Total Contribution (assigned) University (EUR)

531,607.5€

Date/time interval

March 1, 2026 - February 28, 2029

Project duration

36 months

Skills

Concepts (4)


LS7_2 - Medical technologies and tools (including genetic tools and biomarkers) for prevention, diagnosis, monitoring and treatment of diseases - (2024)

LS7_3 - Nanomedicine - (2024)

PE11_1 - Engineering of biomaterials, biomimetic, bioinspired and bio-enabled materials - (2024)

Settore BIOS-11/A - Farmacologia
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