Back to search

Article

Predicting targeted- and immunotherapeutic response outcomes in melanoma with single-cell Raman spectroscopy and AI

2025-05-21

Abstract excerpt

<h4>PURPOSE</h4> Identifying reliable predictors of immunotherapeutic response in melanoma remains an outstanding challenge. Existing transcriptomic and proteomic profiling methods for the tumor-immune microenvironment (TIME) are costly and may not faithfully capture modifications actively impacting tumor behavior. Here, we present a non-destructive, single-cell approach combining Raman spectroscopy and machine l...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
fa0e8b57-fa6e-54be-b54e-40bd7ffb8494
DOI
10.1101/2025.05.16.654612
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Predicting targeted- and immunotherapeutic response outcomes in melanoma with single-cell Raman spectroscopy and AIDOI 10.1101/2025.05.16.654612
Select a neighboring publication to make it the new centre.