SOURCE-LINKED INTELLIGENCE

Ultrasensitive Luminescence-based Yeast Sensors for Specific Early Cancer Sensing

CORDIS · observation · Publication date unknown

measurable BRET signal shifts, serving as indicators of cancer-specific profiles with nanomolar sensitivity. In parallel, urine VOCs will be analysed via gas chromatography–mass spectrometry (GC-MS). Machine learning will be applied to the spectral data to identify key compounds that differentiate cancer from healthy samples and link them to specific OR activation profiles. Engineered yeast biosensors, each with a distinct OR-BRET construct, will be arrayed on a disposable device. Upon urine exposure, BRET signal changes will be recorded and interpreted via an AI algorithm trained on activation heatmaps. This enables the identification of cancer-related patterns with high sensitivity and specificity. Feasibility is ensured by the convergence of expertise within a strongly interdisciplinary consortium. ULYSSES lays the foundation for a versatile diagnostic platform with broad applications in health monitoring and personalized medicine, with strong potential for societal and healthcare impact. Biosensor, Cancer Screening, Breast Cancer, Prostate Cancer, Urine, Olfactory Receptors, Yeas

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recordType

award

status

SIGNED

region

EU

value

2991106.25

unit

EUR