TEN4CARE Showcased at TUAI Spring School: Leveraging AI for Advanced Medical Devices
TEN4CARE Showcased at TUAI Spring School: Leveraging AI for Advanced Medical Devices
TEN4CARE Showcased at TUAI Spring School: Leveraging AI for Advanced Medical Devices
TEN4CARE Showcased at TUAI Spring School: Leveraging AI for Advanced Medical Devices
This week, Biokeralty represented the TEN4CARE project at the Spring School organised by the European project TUAI (Towards an Understanding of Artificial Intelligence via a transparent, open and explainable perspective).
The event served as an excellent platform to share how cutting-edge technologies are shaping the future of regenerative medicine.
TUAI is a Horizon Europe Marie Skłodowska-Curie Actions (MSCA) Doctoral Network dedicated to providing top-tier training on sustainable Artificial Intelligence applied to smart manufacturing, smart cities, and smart healthcare. Aligning with this focus Ángel del Pozo delivered an insightful presentation titled “AI in Scale-up and Optimization of Production Processes for Advanced Medical Devices (HE Project: Ten4Care)”.
During the session, he detailed how TEN4CARE is pioneering the use of Artificial Intelligence to bring our next-generation 4D nanocomposite fibrous hydrogels from the laboratory to the clinical market. The presentation highlighted two major AI-driven innovations within our project:
Smart Manufacturing & Digital Twins: TEN4CARE is developing a Digital Twin of its automated centrifugal spinning equipment. By integrating AI algorithms, the project can replicate the manufacturing process virtually, allowing for the real-time simulation, calibration, and optimisation of critical production parameters.
Personalised Healthcare: The talk also explored the feasibility of using AI frameworks to analyse patient MRI data. This approach aims to accurately predict and model the exact 3D geometry of the tendon lesion and the required scaffold, paving the way for highly personalised, human-centric surgical treatments.
Participating in the TUAI Spring School highlights TEN4CARE’s strong commitment to clustering and cross-disciplinary collaboration. By sharing our industrial and pre-clinical challenges with AI researchers and doctoral candidates, we are bridging the gap between advanced biomaterials and artificial intelligence, ultimately accelerating the development of smarter, more sustainable MedTech solutions for European citizens.
TEN4CARE Showcased at TUAI Spring School: Leveraging AI for Advanced Medical Devices
TEN4CARE Showcased at TUAI Spring School: Leveraging AI for Advanced Medical Devices
This week, Biokeralty represented the TEN4CARE project at the Spring School organised by the European project TUAI (Towards an Understanding of Artificial Intelligence via a transparent, open and explainable perspective).
The event served as an excellent platform to share how cutting-edge technologies are shaping the future of regenerative medicine.
TUAI is a Horizon Europe Marie Skłodowska-Curie Actions (MSCA) Doctoral Network dedicated to providing top-tier training on sustainable Artificial Intelligence applied to smart manufacturing, smart cities, and smart healthcare. Aligning with this focus Ángel del Pozo delivered an insightful presentation titled “AI in Scale-up and Optimization of Production Processes for Advanced Medical Devices (HE Project: Ten4Care)”.
During the session, he detailed how TEN4CARE is pioneering the use of Artificial Intelligence to bring our next-generation 4D nanocomposite fibrous hydrogels from the laboratory to the clinical market. The presentation highlighted two major AI-driven innovations within our project:
Smart Manufacturing & Digital Twins: TEN4CARE is developing a Digital Twin of its automated centrifugal spinning equipment. By integrating AI algorithms, the project can replicate the manufacturing process virtually, allowing for the real-time simulation, calibration, and optimisation of critical production parameters.
Personalised Healthcare: The talk also explored the feasibility of using AI frameworks to analyse patient MRI data. This approach aims to accurately predict and model the exact 3D geometry of the tendon lesion and the required scaffold, paving the way for highly personalised, human-centric surgical treatments.
Participating in the TUAI Spring School highlights TEN4CARE’s strong commitment to clustering and cross-disciplinary collaboration. By sharing our industrial and pre-clinical challenges with AI researchers and doctoral candidates, we are bridging the gap between advanced biomaterials and artificial intelligence, ultimately accelerating the development of smarter, more sustainable MedTech solutions for European citizens.
