Accurate Identification of Cancer Cells in Complex Pre‐Clinical Models Using a Deep‐Learning Neural Network: A Transfection‐Free Approach (Adv. Biology 11/2024)
Year: 2024
Type: article
Abstract: Accurate Identification of Cancer Cells Distinguishing the contribution of different cell types in co-cultures is a major challenge. Marilisa Cortesi, Caroline E. Ford, and co-workers have addressed it through a deep learning-based software tool that distinguishes healthy and cancer cells solely from the shape of the nucleus. This method opens to the possibility of using a wide variety of cell types, including patient-derived ones, in co-cultures. More details can be found in article number 2400034. Image created by Dr. Tim Salita.
Source: Advanced Biology
Institutions: UNSW Sydney, University of Bologna
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4404285534