Non-invasive follow-up of urinary tract cancers

HORIZON.1.1HORIZON-ERC-POCID: 101069405
EC Contribution
€1,500
Consortium Size
2 orgs
Summary

Bladder cancer is the most common malignancy of the urinary tract with 573,000 new cases and 213,000 deaths in 2020 worldwide and affecting more men than women in a 4:1 ratio. Bladder cancer has the highest lifetime treatment costs per patient of all cancers, which is mainly attributed to the intensive follow-up procedures of patients after diagnostics and surgery. Follow-up is made recurring to extremely invasive and low-patient compliant tests. ENSURE aims to validate the technological and business feasibility of the electronic nose technology developed in the ERC Starting Grant SCENT by establishing the proof-of-concept for the non-invasive follow-up of bladder cancer patients. To accomplish this, we will approach the project from both Technical and Business perspectives, with a perfect synergy between the research and business teams, and a close contact with clinical collaborators and stakeholders.

Consortium (2)

Project Results (9)

Source: CORDIS, the EU research results database.

Publications (8)
An odorant-binding protein based electrical sensor to detect volatile organic compounds
Sensors and Actuators B: Chemical· 2024DOI
Gonçalo D.G. Teixeira; Carina Esteves; Artur J. Moro; João C. Lima; Arménio J.M. Barbosa; Ana Cecília A. Roque
Short peptide and amino acid-based supramolecular ionogels and eutectogels
Chemistry - A European Journal· 2024DOI
Carina Esteves; Ana Cecília Roque
A Bioelectronic Nose for the Non- Invasive Diagnostic of Urinary Tract Cancer: Technology Proof of Concept and Market Strategy
· 2023
Ana Madalena Garcia
Effect of Polymer Hydrophobicity in the Performance of Hybrid Gel Gas Sensors for E-Noses
Sensors· 2023DOI
Ana Rita Oliveira; Henrique Costa; Efthymia Ramou; Susana Palma; Ana Cecília Roque
Impact of the Cationic Moiety of Ionic Liquids on Chemoselective Artificial Olfaction
ACS Materials Au· 2023DOI
Ana Rita Oliveira; Efthymia Ramou; Susana Palma; Carina Esteves; Arménio Barbosa; Ana Cecília Roque
Non-invasive urologic tumours monitoring: data mining and machine learning algorithms for urine gas and liquid analysis
· 2023
Susana Fernandes
Olfaction inspired sensing using tailor-made proteins
· 2023
Gonçalo D.G.Teixeira
Textural landscapes of VOC-sensitive chiral liquid crystal-based materials
Applied Physics Reviews· 2023DOI
Efthymia Ramou; Ana Cecília Roque
Deliverables (1)
Documents, reports