Sohyon Lee

[Snijder Lab @snijderlab]

Our big story on the importance of "stripy" T cells in antigen response, which started as a MSc Thesis 6 years ago, has finally made its way out in @ScienceMagazine! 🤩

Massive congrats to @BenHale95 & thanks to all collaborators particularly @LabOxenius & @blutspendesrk 🥰

[Snijder Lab @snijderlab]

We are excited to share a fun project developed by @RamonPfaendler and @JHanimann: Using DINO-based self-supervised #VisionTransformers (ssViTs) to study phenotypic #heterogeneity on the #SingleCell level. https://t.co/3CzBCySOIE

Here’s what we did: 1/8

[Sohyon Lee @ssoeylee]

Could we please try to solve vaccine inequity...? https://t.co/N6ZE7jpkAa

[Snijder Lab @snijderlab]

Thrilled to see our work on #MultiplexedImaging with #DeepLearning published in @ScienceAdvances today. Great effort by Yannik Severin, @BenHale89559171, Julien Mena and big thanks to the Zürich #Blutspende! https://t.co/ih6HqhQPG8

[D-BIOL @ ETH Zurich @ETH_DBIOL]

Overcoming drug resistance in #bloodcancer is an urgent clinical challenge. The @snijderlab from @imsb_eth now shows that #DeepLearning of #CellMorphology improves the identification of effective treatments. @BCD_AACR @meduni_wien @exscientiaAI. More:https://t.co/f5yEU3SXuv

[Tim Heinemann @heti_titus]

Very excited to see our manuscript published in @BCD_AACR. Read how AI advances #Pharmacoscopy by learning how to distinguish cancer from healthy cells based on their morphology and thereby recommend therapies that resulted in longer survival of patients. https://t.co/GN4roP1bJR