AI pathology interpretation (computational pathology)
AI interpretation of digitized gigapixel histology slides (WSI) using self-supervised vision transformers and attention multiple-instance learning to detect tumour foci, grade cancer (Gleason) and predict molecular…
How it works
This is a procurement category, not a named manufacturer's product. As a paid service, Bioecon finds suppliers for your task, agrees configuration and specification, and arranges supply; the price is on request. Bioecon may receive a fee from suppliers — this is disclosed and does not affect the portal's grades or lists.
Technology
AI pathology interpretation (computational pathology) — Evidence, registration route, funding and suppliers are on the technology page.
AI interpretation of digitized whole-slide histology images using self-supervised vision transformers and attention multiple-instance learning to detect tumour foci, grade cancer (Gleason) and predict molecular biomarkers (MSI, PD-L1) from morphology, cutting diagnosis time from days to minutes.
Links
- Capabilities
- Data, software & automation
Related items
In the same node
AI bioprocess optimization as SaaS · AI clinical trial patient recruitment · AI optical coherence tomography screening · AI strain design & engineering platforms · Bio-cybersecurity · Bio-inspired AI architectures · Bioeconomy analytics dashboards · Bioeconomy predictive analytics · All →