SOURCE-LINKED INTELLIGENCE
HEAL-4WARD - doctoral network for Wound infection Advanced care and Rapid Diagnosis
pe to tackle the critical challenge of wound infections. By integrating cutting-edge nanomaterials, non-invasive label-free detection technologies, innovative additive manufacturing (3D-printing) and Artificial Intelligence models, we will prototype smart wound patches for personalized infection care and diagnosis. Our focus is on developing on-demand antimicrobial strategies that minimize antimicrobial resistance risks, coupled with advanced label-free diagnostics and imaging capabilities. This initiative brings together an academic and industrial multidisciplinary consortium of experts in (nano)material science, chemistry, additive manufacturing, biomedical engineering, molecular biology, microbiology, and clinical practice. Our goal is to translate and combine innovative technologies from the laboratory to prototype to clinical settings, enhancing patient outcomes and reducing the burden of infections on healthcare systems. DCs will receive comprehensive training across these different and cross-section fields, training them with skills and knowledge to tackle antimicrobial resist
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 3304008.36
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.