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Artificial Intelligence-driven, Decentralized Production for Advanced Therapies in the Hospital

Project description

AI for smart therapy provision in hospitals

The EU consortium AIDPATH is dedicated to enable and to augment the next-generation of personalised medicine with gene-engineered immune cells at EU hospitals through the use of AI technology. The exemplary embodiment of gene-engineered immune cells in AIDPATH will be T cells, modified to express a synthetic chimeric antigen receptor (CAR-T), that are already a revolutionary novel treatment in haematology and oncology. AIDPATH will apply AI technology to integrate patient-specific data and biomarkers in CAR-T therapy and to optimise scheduling and resource planning to reduce costs and hospital resource utilisation. The consortium members are well-positioned to engage in a productive dialogue with regulators and patients to ensure acceptance and rapid adoption by EU hospitals and industry.

Objective

AIDPATH (Artificial Intelligence-driven, Decentralized Production for Advanced Thera-pies in the Hospital) is a high-energy EU consortium, dedicated to enable and to augment the next-generation of personalized medicine at EU hospitals through the use of AI tech-nology. The exemplary embodiment of gene-engineered immune cells in AIDPATH will be T cells expressing a synthetic chimeric antigen receptor (CAR-T). These cells are already a revolutionary novel treatment in hematology and oncology, and will also be useful for treating infections and autoimmune diseases. Conventional CAR-T therapy is complicated by complex logistics from centralized manufacturing facilities, inflexible manufacturing and clinical use schemes that disregard patient and cell characteristics, thus limiting patient access and therapeutic outcome.
AIDPATH will apply top-notch AI technology to integrate patient-specific data and biomarkers in CAR-T therapy, and apply flexible manufacturing schemes to obtain CAR-T cell products with optimal fitness and anti-tumor potency. AI technology will be applied in pre- and in-process controls to reduce cost and hospital resource utilization and to augment patient access. AIDPATH will establish a role model that integrates the hospital in a smart manner, incorporating aspects of logistics, capacity planning, data management and cybersecurity by design. The project is designed to enable smart bedside provision of personalized treatments and to accomplish end-to-end automation of hospital-based CAR-T manufacture. A key deliverable in AIDPATH will be an integrated cyberphysical infrastructure for rapid dissemination of the smart CAR-T manufacturing and clinical use concept to hospitals throughout the EU.
AIDPATH brings together a world-class consortium to address these challenges, consisting of key opinion leaders in science and translational medicine, innovative SMEs and commercial partners, patient advocates, policy makers and regulatory experts.

Fields of science (EuroSciVoc)

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

IA - Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-DT-2018-2020

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Coordinator

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 957 166,25
Address
HANSASTRASSE 27C
80686 Muenchen
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 957 166,25

Participants (14)

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