Events

FINAL EVENT @HealthTech Forward

Federated Learning (FL) enables collaborative AI development in health research without sharing sensitive data. By training models locally on decentralized datasets, FL upholds GDPR principles of data minimisation and confidentiality.

Connecting Regional Life Sciences Ecosystems – EXPO OSAKA 2025

TRUMPET will be showcased at Expo OSAKA 2025 during the workshop “Connecting Regional Life Sciences Ecosystems.” In the session focused on AI and Big Data, Alice Andalò from IRST IRCCS

We Make Future 2025 – AI for health

AI for Health stage At this stage, in partnership with the GIMBE Foundation, experts will explore the groundbreaking applications of artificial intelligence in the healthcare sector. From predictive diagnostics to

10th World Cancer Series – Economic Impact

Francesco Ghini, Disseminationa and Communication will moderate the session Prioritising Europe’s cancer actions This workshop session will harness delegates’ expertise and knowledge. Delegates will work in small groups and share

HIMSS European Conference and Exhibition

TRUMPET project will be at the next HIMSS European conference&exhibition in Paris. We will be present with a booth (E04) and in the panel EU project workshop Save the date

EFMI MIE 2025

TRUMPET project will take part in MIE2025 in Glasgow, contributing to the panel discussion titled “Exploring the Benefits, Risks, and Ethical Considerations of AI-Based Medical Devices: Navigating Law, Policy, and

Consortium Meeting – RESERVED

CEA and INRIA are gearing up for the 4th consortium meeting, scheduled for February 17th and 18th, 2024 in Paris. The consortium meeting plays a crucial role as the TRUMPET

Workshop on Deliverable 1.2 with external experts – Reserved

The Workshop on Deliverable 1.2 with external experts will take place on October 3rd, at 1 pm. This session will be a valuable opportunity for collaboration and feedback, with insights

2nd review and 3rd consortium meeting

Exciting news from the Trumpet consortium! TVS is gearing up for the 2nd review and 3rd consortium meeting, scheduled for June 4th and 5th, 2024 in Manchester (UK). The participation

2nd Consortium Meeting

From December 12th to 14th, in one of the most beautiful cities in Emilia Romagna, Italy, the 2nd consortium meeting will take place. We will gather to discuss project achievements

1st report and 1st consortium meeting

In Liège, organized by our partner CHU, we will engage in reports, meet with external advisors, and collectively discuss our progress after 9 months of the project.

Cyber Security & Cloud Expo Global

LINK: https://www.cybersecuritycloudexpo.com/global/?_ga=2.197089324.1694633094.1670241829-1947834092.1670241829

FINAL EVENT @HealthTech Forward

Federated Learning (FL) enables collaborative AI development in health research without sharing sensitive data. By training models locally on decentralized datasets, FL upholds GDPR principles of data minimisation and confidentiality.

Connecting Regional Life Sciences Ecosystems – EXPO OSAKA 2025

TRUMPET will be showcased at Expo OSAKA 2025 during the workshop “Connecting Regional Life Sciences Ecosystems.” In the session focused on AI and Big Data, Alice Andalò from IRST IRCCS

We Make Future 2025 – AI for health

AI for Health stage At this stage, in partnership with the GIMBE Foundation, experts will explore the groundbreaking applications of artificial intelligence in the healthcare sector. From predictive diagnostics to

10th World Cancer Series – Economic Impact

Francesco Ghini, Disseminationa and Communication will moderate the session Prioritising Europe’s cancer actions This workshop session will harness delegates’ expertise and knowledge. Delegates will work in small groups and share

HIMSS European Conference and Exhibition

TRUMPET project will be at the next HIMSS European conference&exhibition in Paris. We will be present with a booth (E04) and in the panel EU project workshop Save the date

EFMI MIE 2025

TRUMPET project will take part in MIE2025 in Glasgow, contributing to the panel discussion titled “Exploring the Benefits, Risks, and Ethical Considerations of AI-Based Medical Devices: Navigating Law, Policy, and