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Laboratory
1. Snijder Lab - Kreis 10
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· 2 reviews
Otto-Stern-Weg 3, 8093 Zürich, Switzerland
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4worldlovers: 
The list doesn't stop there, but it's the essence of what we do, and we love it. Nothing beats the thrill of discovery, and as a bonus we sometimes discover things that contribute to human wellbeing.
Our lab specializes in automated microscopy, which allows us to take many pictures of cells doing their thing in different conditions. We use image analysis and machine learning to make sense of the results.
We integrate our results with different OMICS datasets, such as gene and protein expression, and lipid abundance data, to reveal the molecular systems at work.
Big data analysis is key to identify the critical signals and build predictive quantitative models. Sometimes available methods fall short and we end up developing new statistical methods.
All models we build should tell us something that we did not know before. This can send us into unexpected directions, such as enabling us to predict the responses of patient samples to different signals.
Together with a great team of people at the Center for Molecular Medicine, allcyte, the Medical University of Vienna, and the University Hospital of Zurich we are working hard on bringing the power of automated microscopy to the clinic. We call the technology Pharmacoscopy.
Our first pharmacoscopy clinical trial appeared in 2017 in The Lancet Haematology! We find that Pharmacoscopy can help identify effective treatments for patients suffering aggressive haematological malignancies. It is associated by a great commentary from Prof. Dr. JP Bourquin: "A precision medicine approach to haematological malignancies".
Our first pharmacoscopy paper was published in 2017 in Nature Chemical Biology, on quantifying the immunomodulatory action of drugs in blood cells of individual donors.
Using Pharmacoscopy we can test hundreds of drugs on small blood or tissue samples from individual people, and actually see what each drug does to each individual donor cell, be it healthy or cancerous.
We believe Pharmacoscopy may identify those drugs that help patients battle their cancers. For leukemias, lymphomas, and myelomas we are collecting the data to test this hypothesis.
The single-cell resolution allows to compare drug killing of cancer cells with that of healthy donor cells, and to measure the drug-effects on immune-mediated cancer cell killing, ensuring we identify potent treatments.
Pharmacoscopy uses the same markers that clinicians use to diagnose different cancers, and it is compatible with blood samples, bone-marrow biopsies, and excised lymph nodes, making the technology widely applicable.
The list doesn't stop there, but it's the essence of what we do, and we love it. Nothing beats the thrill of discovery, and as a bonus we sometimes discover things that contribute to human wellbeing.
Our lab specializes in automated microscopy, which allows us to take many pictures of cells doing their thing in different conditions. We use image analysis and machine learning to make sense of the results.
We integrate our results with different OMICS datasets, such as gene and protein expression, and lipid abundance data, to reveal the molecular systems at work.
Big data analysis is key to identify the critical signals and build predictive quantitative models. Sometimes available methods fall short and we end up developing new statistical methods.
All models we build should tell us something that we did not know before. This can send us into unexpected directions, such as enabling us to predict the responses of patient samples to different signals.
Together with a great team of people at the Center for Molecular Medicine, allcyte, the Medical University of Vienna, and the University Hospital of Zurich we are working hard on bringing the power of automated microscopy to the clinic. We call the technology Pharmacoscopy.
Our first pharmacoscopy clinical trial appeared in 2017 in The Lancet Haematology! We find that Pharmacoscopy can help identify effective treatments for patients suffering aggressive haematological malignancies. It is associated by a great commentary from Prof. Dr. JP Bourquin: "A precision medicine approach to haematological malignancies".
Our first pharmacoscopy paper was published in 2017 in Nature Chemical Biology, on quantifying the immunomodulatory action of drugs in blood cells of individual donors.
Using Pharmacoscopy we can test hundreds of drugs on small blood or tissue samples from individual people, and actually see what each drug does to each individual donor cell, be it healthy or cancerous.
We believe Pharmacoscopy may identify those drugs that help patients battle their cancers. For leukemias, lymphomas, and myelomas we are collecting the data to test this hypothesis.
The single-cell resolution allows to compare drug killing of cancer cells with that of healthy donor cells, and to measure the drug-effects on immune-mediated cancer cell killing, ensuring we identify potent treatments.
Pharmacoscopy uses the same markers that clinicians use to diagnose different cancers, and it is compatible with blood samples, bone-marrow biopsies, and excised lymph nodes, making the technology widely applicable.
