We help you find the perfect fit.

Swiss Ai Research Overview Platform

28 Research Topics
Reset all filters
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Filter
Reset all filters
Select all Unselect all
Close Show projects Back
Show all filters
71 Application Fields
Reset all filters
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Filter
Reset all filters
Select all Unselect all
Close Show projects Back
Show all filters
34 Institutions
Reset all filters
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Select all Unselect all
Close
Filter
Reset all filters
Select all Unselect all
Close Show projects Back
Show all filters
OrganEYEzer # High-throughput sorting of large and small organoids powered by deep learning for drug discovery, tissue engineering, and disease modeling

Lay summary

OrganEYEzer # High-throughput sorting of large and small organoids powered by deep learning for drug discovery, tissue engineering, and disease modeling

Abstract

Organoids have been an area of increasing interest and relevance across a wide range of fields such as cancer research, drug discovery, and toxicology. With OrganEYEzer, IOB and CSEM propose an innovative solution combining microfluidic and deep learning to sort and classify organoids automatically.

Last updated:22.10.2023

Thomas Valentin