This project introduces an innovative, non-invasive AI-driven system designed for the early detection and monitoring of a wide range of diseases using natural speech signals. By leveraging advanced artificial intelligence techniques, including the development of a foundation model, the system analyzes subtle speech patterns to identify and track health conditions across multiple critical categories. Supported by existing research, this comprehensive tool aims to revolutionize healthcare by providing a user-friendly, accessible, and non-invasive solution for early diagnosis and continuous monitoring, addressing both physical and cognitive health challenges
The "Speech-Based Diagnostics" project represents a disruptive innovation in healthcare, fundamentally transforming the way diseases are diagnosed and monitored. At its core, this initiative leverages natural speech signals and advanced artificial intelligence to enable the early detection of diseases across four critical categories: voice-related disorders, pulmonary disorders, blood-related disorders, and cognitive disorders. Unlike traditional diagnostic methods, which often rely on invasive procedures or detect diseases only at advanced stages, this non-invasive system identifies subtle changes in speech patterns to diagnose conditions in their earliest phases. By focusing on early-stage detection, the project aims to revolutionize preventive medicine, offering a scalable, accessible, and efficient solution that can significantly improve treatment outcomes and reduce healthcare burdens. Supported by existing research, this AI-driven system is designed to empower individuals and healthcare providers with real-time, actionable insights into health conditions before they progress.
Advantages and innovation
- The system’s ability to diagnose diseases in their earliest stages,before traditional symptoms appear sets it apart from conventional diagnostic methods, marking a transformative shift in healthcare.
- By analyzing speech patterns, the system eliminates the need for invasive procedures, making diagnostics more comfortable, accessible, and patient-friendly.
- The tool targets four critical disease categories—voice-related, pulmonary, blood-related, and cognitive disorders—providing a holistic approach to early diagnosis and monitoring.
- AI-Driven Precision: Utilizing a state-of-the-art foundation model, the system ensures high accuracy and reliability, enabling it to detect even the most subtle changes in speech associated with early-stage diseases.
- Proactive Healthcare: Early detection allows for timely interventions, improving treatment outcomes, reducing healthcare costs, and enhancing the quality of life for patients.
- Scalable and Accessible: Designed as a user-friendly app and system, it can be easily adopted by individuals and healthcare providers worldwide, particularly in underserved regions with limited access to advanced medical infrastructure.
- Research-Backed Innovation: The system is grounded in existing scientific research, ensuring its credibility and effectiveness while pushing the boundaries of what is possible in diagnostics.
- Continuous Learning and Adaptation: The foundation model’s ability to learn and adapt ensures the system remains at the cutting edge of medical technology, capable of integrating new disease categories and advancements over time.
This project is not merely an incremental improvement but a game-changing innovation that redefines the diagnostic process. By enabling early-stage detection across multiple disease categories, it has the potential to disrupt traditional healthcare models, shifting the focus from reactive treatment to proactive prevention and fundamentally improving global health outcomes.

Framework program
Access to finance
Call title and identifier
EIC Pathfinder Open
Submission and evaluation scheme
https://eic.ec.europa.eu/eic-funding-opportunities/eic-pathfinder/eic-pathfinder-open_en
Anticipated project budget
Coordinator required
No
Deadline for EoI 7 May 2025
Deadline of the call 21 May 2025
Project duration in weeks
Web link to the call
https://eic.ec.europa.eu/eic-funding-opportunities/eic-pathfinder/eic-pathfinder-open_en