AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

HEAL-4WARD - doctoral network for Wound infection Advanced care and Rapid Diagnosis

CORDIS · observation · Publication date unknown

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

Read original source ↗ Open in workspace

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.