Efficient and optimized blood cancer detection using engineered graphene-based silicon–TiN–silicon multilayered plasmonic sensor design with behaviour prediction using machine learning
Crossref DOI link: https://doi.org/10.1038/s41598-025-33885-9
Published Online: 2026-01-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Armghan, Ammar
Sharma, Yogesh
Flah, Aymen
Alsharari, Meshari
Aliqab, Khaled
Text and Data Mining valid from 2026-01-03
Version of Record valid from 2026-01-28
Article History
Received: 23 September 2025
Accepted: 23 December 2025
First Online: 3 January 2026
Declarations
:
: The authors declare no competing interests.