Artificial intelligence integrated scattering type near field optical microscopy for early and transformative cancer detection

Tender Summary

The VILNIAUS UNIVERSITETAS in Belgium from Europe region has released this tender for Artificial intelligence integrated scattering type near field optical microscopy for early and transformative cancer detection AI-SCAN aims to revolutionize the field of cancer diagnostics by merging the analytical power of artificial intelligence AI with the ultra-high spatial resolution of scattering-type near-field optical microscopy SNOM for cancer detection Cancer cells undergo biochemical and morphological alterations at the nanoscale such as changes in DNA protein content lipid distribution refractive index RI and membrane architecture Detecting and interpreting these subtle variations before they observable at the tissue or organ level remains one of the greatest challenges in early diagnosis AI-SCAN directly addresses this challenge by developing intelligent computational models capable of decoding complex nanoscale optical signals and identifying disease-specific biomarkers with unprecedented sensitivity and accuracy The project integrates three complementary components First physics-based three-dimensional 3D simulation models will be established to reproduce the interaction between light SNOM probe and biological samples Second advanced SNOM imaging will be employed to acquire real time high-quality spectroscopic and topographic data from healthy and cancerous cells Third cutting-edge AI algorithms like BRANN will be utilized to extract diagnostically relevant features from multimodal SNOM datasets enabling robust classification of healthy versus malignant states Through this multidisciplinary approach AI-SCAN seeks to establish a new paradigm for nanoscale cancer detection The combination of experimental measurements computational simulations and AI analysis will allow systematic identification of optical biomarkers that are otherwise hidden within noisy and high-dimensional datasets Ultimately AI-SCAN has the potential to pave the way for earlier and more accurate detection of aggressive cancers contributing to the advancement of biomedical imaging and strengthening Europe s leadership in AI-driven healthcare innovation with tender notice no. 101276151 published on 21 Aug 2026. The tender is due to expire on 31 Dec 2028. This tender is sourced from Cordis and is eligible for suppliers interested in Artificial Intelligence, Medical software package, DNA, Optical microscopes. Interested bidders can obtain further information including complete bid documents or ways to participate by registering on Tender Impulse and referencing via Tender Impulse ID 14474929.

Tender Details

Tender NoticeTI Ref: 14474929
Tender Notice No
101276151
Tender Organisation
VILNIAUS UNIVERSITETAS
Tender Service
Worldwide
Tender Region
Tender Project Location
Tender CPV
72212514 : Artificial Intelligence48180000 : Medical software package872130910 : DNA38634000 : Optical microscopes
Tender Source
Cordis
Tender Document Type
Tender Notice
Tender Deadline
31 Dec 2028 863 days left
Tender Description
Artificial intelligence integrated scattering type near field optical microscopy for early and transformative cancer detection AI-SCAN aims to revolutionize the field of cancer diagnostics by merging the analytical power of artificial intelligence AI with the ultra-high spatial resolution of scattering-type near-field optical microscopy SNOM for cancer detection Cancer cells undergo biochemical and morphological alterations at the nanoscale such as changes in DNA protein content lipid distribution refractive index RI and membrane architecture Detecting and interpreting these subtle variations before they observable at the tissue or organ level remains one of the greatest challenges in early diagnosis AI-SCAN directly addresses this challenge by developing intelligent computational models capable of decoding complex nanoscale optical signals and identifying disease-specific biomarkers with unprecedented sensitivity and accuracy The project integrates three complementary components First physics-based three-dimensional 3D simulation models will be established to reproduce the interaction between light SNOM probe and biological samples Second advanced SNOM imaging will be employed to acquire real time high-quality spectroscopic and topographic data from healthy and cancerous cells Third cutting-edge AI algorithms like BRANN will be utilized to extract diagnostically relevant features from multimodal SNOM datasets enabling robust classification of healthy versus malignant states Through this multidisciplinary approach AI-SCAN seeks to establish a new paradigm for nanoscale cancer detection The combination of experimental measurements computational simulations and AI analysis will allow systematic identification of optical biomarkers that are otherwise hidden within noisy and high-dimensional datasets Ultimately AI-SCAN has the potential to pave the way for earlier and more accurate detection of aggressive cancers contributing to the advancement of biomedical imaging and strengthening Europe s leadership in AI-driven healthcare innovation
Tender Bidding Type

Frequently Asked Questions About This Tender

Who has issued this tender, and what is it for?
The tender has been issued by VILNIAUS UNIVERSITETAS in Belgium. Such a type of tender falls under Artificial Intelligence, Medical software package, DNA, Optical microscopes, within the Management Consultancy sector, and is listed on Tender Impulse under notice number 101276151.
What are the key dates for this tender?
The notice was published on 21 Aug 2026 and submissions close on 31 Dec 2028. Late bids are rarely accepted in public procurement, so aim to have your documents ready several days before the closing date.
Which CPV codes apply to this tender?
It is classified under CPV codes 72212514, 48180000, 872130910, 38634000, which correspond to Artificial Intelligence, Medical software package, DNA, Optical microscopes. If your company supplies these products or services, these are the codes to save in your alert profile so no matching tender passes you by.
Can I submit my bid for this tender to Tender Impulse?
No - and this matters. Tender Impulse is a tender aggregation and alert service: we collect procurement notices from official sources around the world and list them in one place. We do not receive, forward or evaluate bids. Your bid for this tender must be submitted directly to VILNIAUS UNIVERSITETAS, using the method described in the original tender document, before 31 Dec 2028. Tender Impulse provides complete assistance in submitting all bids posted on its website.
How do I get the bid documents and participation details?
Request a live demo on Tender Impulse and our tender experts will walk you through this listing, share the available documents, and explain how to submit your bid to VILNIAUS UNIVERSITETAS. Subscribers also receive help with registration requirements and, where needed, translation of non-English notices - but the submission itself always goes from you to the buyer.
How can I find more tenders like this in Belgium?
There are currently 5813 live tenders of 49599 total tenders from Belgium on Tender Impulse. You can browse them on our Belgium tenders page, or save a search combining Belgium with CPV codes 72212514, 48180000, 872130910, 38634000 - we will then email you every new match on the day it is published.
How to prepare for this bid?
Suppliers must verify technical specifications, the delivery schedules and any other intrinsic details as provided in the complete bid documents before deciding to submit their bids. All necessary certifications and supplier registrations must be undertaken before participation.
Is this tender beneficial for me?
The procurement is applicable to companies in the Artificial Intelligence, Medical software package, DNA, Optical microscopes and related industries. If you belong to this industry, you can review the technical documents before assessing your relevance to your company.
What is the procurement trend for Artificial intelligence integrated scattering type near field optical microscopy for early and transformative cancer detection?
The public procurement trends for Artificial intelligence integrated scattering type near field optical microscopy for early and transformative cancer detection can be assessed by viewing historical data and buying patterns for this product. Subscribed members can view and even download reports of tenders released in the past for their market research. This shall allow them to carefully prepare a compelling bid.

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