all AI news
Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer. (arXiv:2203.10062v1 [cs.CV])
March 21, 2022, 1:10 a.m. | Rohan P. Joshi, Bo Osinski, Niha Beig, Lingdao Sha, Kshitij Ingale, Martin C. Stumpe
cs.CV updates on arXiv.org arxiv.org
MET is a proto-oncogene whose somatic activation in non-small cell lung
cancer leads to increased cell growth and tumor progression. The two major
classes of MET alterations are gene amplification and exon 14 deletion, both of
which are therapeutic targets and detectable using existing molecular assays.
However, existing tests are limited by their consumption of valuable tissue,
cost and complexity that prevent widespread use. MET alterations could have an
effect on cell morphology, and quantifying these associations could open new …
arxiv cancer cv features imaging lung cancer predictive small
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US