Technion-Israel Institute of Technology researchers have developed an artificial intelligence (AI)-based technique for mapping receptors on cancer cells.
The technique derives molecular data from images of breast cancer biopsies that received hematoxylin and eosin staining, extracting biological properties to help pathologists match patients with a therapy that will block receptors on the cell membrane and hinder tumor growth.
Technion's Gil Shamai and Ron Kimmel said the deep learning technique successfully identifies cancer's unique morphological signature within tissue. S
hamai said to feed the AI system the necessary cancer information, "We have written software code to scan network sources and automatically download thousands of biopsy samples and the relevant medical information approved for research."
From The Jerusalem Post
View Full Article
Abstracts Copyright © 2019 SmithBucklin, Washington, DC, USA
No entries found