Patient-based drug discovery's latest news
New publication in Journal of Visualized Experiments
Weiss A, Sommer P, Wilbertz JH. Phenotypic Profiling of Human Stem Cell-Derived Midbrain Dopaminergic Neurons. J Vis Exp. 2023 Jul 7;(197). doi: 10.3791/65570. PMID: 37486112...
A new publication of the environMENTAL consortium in Nature Medicine
A new publication of the environMENTAL consortium on effects of urban living environments on mental health in adults has been just in the prestigious journal Nature Medicine The...
Call for participants in the environMENTAL Project Consensus Conference
We are recruiting participants for a consensus conference about research on the link between the environment and #mentalhealth as part of the environMENTAL EU Project. Are you...
The “Young Investigators” prize was awarded to Ksilink’s PhD student!
Our PhD student Vivien Batoumeni had the pleasure and honor to be awarded with the "Young Investigators" prize at Printemps de la cardiologie congress organized by Réseau Avenir...
Ksilink takes part in the EIC pathfinder consortium IMPACT
We are very proud to contribute with our expertise in phenotypic and functional profiling of cardiac muscle disorders as a partner of another European consortium of excellence....
Meet us at BIO in Boston from June 5th to 8th, 2023!
Ksilink is attending this year's BIO Convention 2023 from June 5th to 8th 2023 with 3 delegates. We will take part in the French delegation of over 100 biotech companies and...
New publication: The JUMP Cell Painting dataset, studying the morphological impact of 136,000 chemical and genetic perturbations goes public
Since 2019, Ksilink has been part of the JUMP-Cell Painting Consortium, a collaboration between 10 pharmaceutical companies, six supporting technology companies, and two...
Meet us at Santa Fe Keystone Symposia on Feb. 13th & 14th, 2023!
Discover how Ksilink, myriamed and their spin-off Myrtil Biotechnologies implement deep learning to enhance high-content screening and deep-tissue phenotyping to identify...
New publication: Machine learning-aided analysis of human dopaminergic neurons
Link to publication: https://www.cell.com/stem-cell-reports/fulltext/S2213-6711(22)00423-4 In our most recent work in collaboration with colleagues from Life & Brain and the...