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PREDICT

Financiado

Cerrado

A new era in personalised medicine Radiomics as decision support tool for diagn...

A new era in personalised medicine Radiomics as decision support tool for diagnostics and theragnostics in oncology The high degree of tumour (genomic and phenotypic) heterogeneity influences patient’s response to therapy and hampers wide deployment of personalised medicine for cancer treatment. Thus, there is an imperative need for new technol... ver más

31/03/2022

UNIVERSITEIT MAAST...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

UNIVERSITEIT MAASTRICHT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 17 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-03-31

MSCA-ITN-2017: Innovative Training Networks

I+D

Cerrada hace 8 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

17 Participantes

UNIVERSITEIT MAASTRICHT

510.75K€ | Lider

ERASMUS MC

N.D. | Participante

HIT

N.D. | Participante

INT

386.88K€ | Participante

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Duración del proyecto: 55 meses Fecha Inicio: 2017-08-29
Fecha Fin: 2022-03-31

Líder del proyecto

UNIVERSITEIT MAASTRICHT No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The high degree of tumour (genomic and phenotypic) heterogeneity influences patient’s response to therapy and hampers wide deployment of personalised medicine for cancer treatment. Thus, there is an imperative need for new technologies that can accurately detect tumour heterogeneity, allow for patient stratification and assist clinicians in providing the right diagnosis and treatment for the right patient. PREDICT’s mission is to address this huge unmet need. Radiomics, a newly emerging field that uses high-throughput extraction of large amounts of features from radiographic images, can boost the field of personalised medicine. The analysis of medical images taken as standard-of-care allows Radiomics to capture tumour heterogeneity and to generate ‘tumour-specific’ signatures in a non-invasive way, without the need of assessing the patient’s genetic profile. Thus, Radiomics, if linked to Big- data and decision support systems (DSS), can be used as diagnostic tool for patient stratification, for prediction of treatment response and for guidance, involving the patient, of clinical decisions in oncology. However, researchers that understand cancer biology, advanced imaging and big data analytics are virtually absent. Even more challenging is to translate the outcomes into actual clinical tools involving the patient. PREDICT will train 15 highly promising researchers in the emerging field of Radiomics and Big data. These ESRs will be trained to implement the automatic exploitation of large amounts of imaging data to drive decision-making algorithms that will guide diagnosis and treatment of different types of cancer and to develop ‘tumour-specific’ signatures integrated in multifactorial DSS. The ESRs will become experts and innovators in Radiomics, Big Data and DSS, which will allow them to bring unique solutions towards the clinic. PREDICT builds upon a strong consortium with 8 academic and 10 non-academic partners that are all pioneers in their respective field.

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