Sohyon Lee retweeted
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 🥰
Out now @ScienceMagazine: @BenHalePhD, @BerendSnijder & colleagues report that the internal architecture of T cells at the moment they are activated can influence their fate in response to antigen.
🔗science.org/doi/10.1126/scie…
Sohyon Lee retweeted
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. bit.ly/scDINO
Here’s what we did: 1/8
Sohyon Lee retweeted
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! bit.ly/3sRLEpd
Sohyon Lee retweeted
First solid tumour #Pharmacoscopy results now on #bioRxiv. We show how #SingleCell image-based profiling of surgical patient material identifies repurposable neuroactive drugs for the deadly brain cancer #Glioblastoma.Great work led by @ssoeylee! #preprint bit.ly/3MnTKiA – at Zurich, Switzerland
Sohyon Lee retweeted
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:biol.ethz.ch/en/news-and-eve…
Sohyon Lee retweeted
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. bit.ly/3BVLOl0
