Descripción del proyecto
Cribado celular para el diagnóstico del cáncer, para todos
El cribado biomédico realizado a nivel unicelular y de biopartículas puede revolucionar el diagnóstico clínico. En el proyecto NEXTSCREEN, financiado por las MSCA, se formará a los investigadores para que desarrollen métodos de cribado avanzados. Estos métodos implican la obtención de imágenes y la clasificación automatizadas de muestras dentro de una corriente líquida. Los objetivos de los investigadores son reducir los gastos y las complejidades asociados a la citometría de flujo por imágenes, construir microscopios automatizados de alta resolución y desarrollar herramientas de procesamiento de datos en tiempo real para la identificación y el reconocimiento de muestras. De este modo, se podrán analizar amplias poblaciones de glóbulos sanguíneos y biopartículas, lo que conducirá a la identificación de biomarcadores oncológicos en muestras de biopsia líquida. En última instancia, el equipo del proyecto pretende democratizar el uso del cribado automático.
Objetivo
Biomedical screening at single-cell and bioparticles level has the potential to transform clinical diagnostics, but the research and development in this field are scattered in different disciplines: biophotonics, micromanipulation, machine learning, in vitro diagnostics, and clinical regulations are traditionally imparted in separate training programs.
NEXTSCREEN aims to train and establish a network of researchers with the expertise required for the development of next-generation screening methods, based on automatic imaging and classification of samples moving along a liquid stream. The researchers have the objectives to reduce the cost and complexity of imaging flow cytometry; empower it with novel contrast mechanisms; build high-resolution automatic microscopes at the diffraction limit and beyond; develop real-time data processing tools able to detect and recognize the samples, circumventing the need for manual annotation. Using these technologies they will characterize blood cells and bioparticles, screening large cellular populations, with the goal to identify and characterize cancer biomarkers, in samples derived from liquid biopsies. The ultimate goal is to initiate the development of diagnostics tools, that could be adopted in clinical settings on a large scale, democratizing the use of automatic screening.
The project brings together academic and industrial research groups, that are leading the field of imaging flow cytometry, with complementary know-how in high-resolution microscopy, high-precision microfluidics, biotechnologies, and weakly-supervised deep learning, that will facilitate the development of data-driven cells and bioparticle screening.
Ámbito científico
- natural sciencesphysical sciencesclassical mechanicsfluid mechanicsmicrofluidics
- natural sciencesphysical sciencesopticsmicroscopy
- medical and health sciencesclinical medicineoncology
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencescomputer and information sciencesdata sciencedata processing
Palabras clave
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régimen de financiación
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinador
20133 Milano
Italia