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Active HORIZON European Commission

Fully Biocompatible Intrabody Nanoscale Communication System to Foster Novel In Body Diagnostics and Monitoring Systems


Funder European Commission
Recipient Organization Universitat Politecnica de Catalunya
Country Spain
Start Date Apr 01, 2024
End Date Mar 31, 2026
Duration 729 days
Number of Grantees 3
Roles Associated Partner; Coordinator
Data Source European Commission
Grant ID 101154851
Grant Description

Early detection is crucial in improving treatment outcomes and alleviating the burden of chronic diseases, as emphasized by the EU Mission: Cancer.

In vivo dianosgtic approaches have been shown to eliminate a couple of post-processing stages, but no significant reduction in turnaround delays has been reported, in addition to being costly, bulky, and invasive.

The next natural step in innovation would be to reduce turnaround delays from the present best of 10,000 minutes to within a few tens of minutes, a 1000X improvement, which BeNiFIt aims to introduce.

The goal of the BeNiFIt project is to show that intra-body nanoscale communications (IBNC) can be used to make in-vivo diagnostics possible.

This will pave the way for more advanced early detection and real-time monitoring methods that are minimally invasive, low-cost, and have small turnaround delays.

Through BeNiFIt, I will demonstrate the competence of IBNC for in vivo detection of biomarkers with high accuracy by using nanomachines equipped with biosensors.

A cooperative sensing approach will be developed to maximize the sensitivity and specificity of the biosensors, thus reducing the number of false positives/negatives caused by the presence of other molecules.

In addition, I will design an approach to integrating the sensing and communication hardware to meet the hardware requirements of nanomachines.

A near-field magnetism-based system and passive communication architecture will be implemented to ensure ultra-high safety and energy efficiency.

Lastly, an open-source system-level simulator will be developed, spanning microscopic to macroscopic scales, to analyze the impact of the design choices on the system’s performance.

The KPI targets of BeNiFIt include >95% detection accuracy and a 10X reduction in treatment costs, besides the 1000X reduction in turnaround delays. These outstanding performances are set to disrupt the healthcare industry.

All Grantees

Fundacio Institut de Bioenginyeria de Catalunya; Universitat Politecnica de Catalunya; Norges Teknisk-Naturvitenskapelige Universitet Ntnu

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