SOURCE-LINKED INTELLIGENCE
Artificial intelligence enabled electrospinning approach to fight pulmonary cancer
Artificial intelligence enabled electrospinning approach to fight pulmonary cancer Pulmonary cancer is the leading cause of cancer deaths worldwide. Surgery is associated with high morbidity and operative mortality. One of the main causes of the poor survival rate is cancer relapse at the surgical resection margins. Thus, developing a strategy to minimize the local recurrence rate of lung cancer efficiently is greatly needed. Nanotechnology-assisted approaches, such as nanoparticles (NPs) and nanofibers (NFs) obtained via electrospinning could enable novel strategies to fabricate better performing implantable devices, including localized drug delivery systems. Many working parameters affect the final outcomes in electrospinning and different fibrous architectures can be generated, much is still to be understood to precisely control, and ultimately predict the mechanical, physico-chemical
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 445401.9
- 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.