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TRACE4AD™ TRACE4BUS™ TRACE4OC™ Trace4Research™ Trace4DigitalTwin™

TRACE4AD™ is our AI-powered, CE-cleared medical device that provides early-stage, subject-level risk (low risk or high risk) of being affected by or progressing to dementia within 24 months.
Working through data mining and machine-learning classifiers, TRACE4AD™ performs an automatic reading of the subject's brain MRI study, and it automatically identifies features of brain atrophy that begin to occur following neuronal death caused by AD along with mild cognitive impairment typical of the early stages of AD dementia.

TRACE4BUS™ is our AI-based, CE-cleared medical device that uses machine learning to deeply analyze ultrasound images of BC suspicious breast masses of subjects at risks to provide the breast mass BI-RADS category.
TRACE4BUS™ is based on ultrasound image analytics in the breast region, data mining and machine learning classifiers to support physicians in the reporting of ultrasound-detected suspicious breast masses.

TRACE4OC™ is our AI-based, CE-cleared medical device that provides the woman's level of risk of being affected by ovarian cancer.
Our solution leverages the power of machine learning to deeply analyze US images of adnexal ovarian masses of women at risks, with the aim of providing the individual level of risk (very low risk or medium-high risk) of being affected by ovarian cancer.

Trace4Research™ is our proprietary platform based on Artificial Intelligence and Data/Image Analytics.
Through Trace4Research™, highly specialized AI algorithmsare offered as support to non-specialized users in a user-friendly and robust way, following a very simple workflow and usability.

Trace4DigitalTwin™ is our proprietary platform that aggregates patient health information and contextualizes it against population data to support strategic and clinical planning.
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Avviso di indagine di mercato per affidamento di servizio specialistico di aggiornamento modelli radiomici federati nell'ambito del progetto Trace4AFEM - INDM002-25

Milan - Apr 02, 25

Iniziativa nell'ambito del progetto: “Trace4AFEM – The RAdiologist Cognitive Eye for Adaptive Federated Ensemble Models” selezionato per la concessione di finanziamenti per attività coerenti con il progetto “Future Artificial Intelligence Research – FAIR”, Spoke 4, PE0000013, CUP D53C22002380006, finanziato dall’Unione Europea-NextGenerationEU nell’ambito del Piano Nazionale di Ripresa e Resilienza, Missione 4 “Istruzione e ricerca” – Componente 2 “Dalla ricerca all’impresa” – Investimento 1.3, ammesso a finanziamento in data 15/07/2024, decreto di concessione del Direttore Generale del Politecnico di Milano in data 03/09/2024

Si pubblica al seguente link l'indagine di mercato numero INDM002-25.

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Products

TRACE4AD™ TRACE4BUS™ TRACE4OC™ Trace4Research™ Trace4DigitalTwin™

TRACE4AD™ is our AI-powered, CE-cleared medical device that provides early-stage, subject-level risk (low risk or high risk) of being affected by or progressing to dementia within 24 months.
Working through data mining and machine-learning classifiers, TRACE4AD™ performs an automatic reading of the subject's brain MRI study, and it automatically identifies features of brain atrophy that begin to occur following neuronal death caused by AD along with mild cognitive impairment typical of the early stages of AD dementia.

TRACE4BUS™ is our AI-based, CE-cleared medical device that uses machine learning to deeply analyze ultrasound images of BC suspicious breast masses of subjects at risks to provide the breast mass BI-RADS category.
TRACE4BUS™ is based on ultrasound image analytics in the breast region, data mining and machine learning classifiers to support physicians in the reporting of ultrasound-detected suspicious breast masses.

TRACE4OC™ is our AI-based, CE-cleared medical device that provides the woman's level of risk of being affected by ovarian cancer.
Our solution leverages the power of machine learning to deeply analyze US images of adnexal ovarian masses of women at risks, with the aim of providing the individual level of risk (very low risk or medium-high risk) of being affected by ovarian cancer.

Trace4Research™ is our proprietary platform based on Artificial Intelligence and Data/Image Analytics.
Through Trace4Research™, highly specialized AI algorithmsare offered as support to non-specialized users in a user-friendly and robust way, following a very simple workflow and usability.

Trace4DigitalTwin™ is our proprietary platform that aggregates patient health information and contextualizes it against population data to support strategic and clinical planning.
Products
Publications
News room
About
Contacts
Customer Care

BOOK A MEETING