Support of applicants for the SNSF Professorial Fellowship / SNSF Starting Grant in the field of "Quantitative Biomedicine"
Bernd Bodenmiller on strategy& Insider Podcast on Harnessing AI for next generation cancer diagnostics
The Polymenidou group and collaborators detect TDP-43 seeding activity in the olfactory mucosa of FTD patients
The Menze group develops diffusion-based hierarchical multi-label object detection to analyze panoramic dental X-Rays
The Menze group develops a self-pruning graph neural network for predicting inflammatory disease activity in Multiple Sclerosis from Brain MR Images
DQBM and the Institute for Implementation Science in Healthcare (IfIS) launch BME337: "Introduction to Digital Health"
The Kümmerli group shows that negative interactions and virulence differences drive polymicrobial infection dynamics
The Polymenidou group shows that loss of TDP-43 oligomerization or RNA binding elicits distinct protein aggregation patterns
Read Michael Krauthammer's conversation with Schweizerische Ärztezeitung on AI in medicine (in German)
The Bodenmiller group identifies prognostic single-cell populations in breast cancer lymph node metastases
The Bodenmiller lab and collaborators receive 2 mCHF for the CCCZ Lighthouse Project "IMMUNO-CAR ZURICH"
The Menze group publishes Focused Decoder: a novel Detection Transformer for 3D anatomical structure detection
Michael Krauthammer co-manages the establishment of the LOOP Zurich's new BioMedical Informatics Platform
The Krauthammer lab and collaborators publish PRIDICT: An attention-based bidirectional recurrent neural network to predict prime editing efficiency and product purity
The Bodenmiller group publishes a single-cell map of T cell exhaustion-associated immune environments in breast cancer
The Polymenidou group and collaborators systematically evaluate human-derived anti-poly-GA antibodies in C9orf72 disease models
The Bodenmiller group develops a strategy that estimates tissue spatial segregation to optimise multiplexed imaging experimental design
The Kümmerli group shows that collective decision-making in P. aeruginosa involves transient segregation of quorum-sensing activities across cells
Michael Krauthammer and collaborators publish a perspective paper on the use and ethics of Digital Twins in medicine
The Kümmerli group shows that loss-of-function and regulon modulation drives diversification in quorum sensing activity patterns in P. aeruginosa
Magdalini Polymenidou granted a Target ALS and Alzheimer’s Drug Discovery Foundation Award for Biomarker Research
The Krauthammer lab is part of the newly funded DIZH innovation structure "Zurich Applied Digital Health Center"
The Joller group publishes a review on the interplay between regulatory T cells and peripheral tissues
The Menze group develops a convolutional neural network for residual motion correction in fast whole-brain MRI
The Kümmerli group shows that enforced specialization fosters mutual cheating, but not division of labour, in P. aeruginosa
The Menze group develops a deep neural network to reconstruct the 3D standing spine posture from 2D Radiographs
The Polymenidou group publishes a protocol for the identification of RNA–RBP interactions in subcellular compartments by CLIP-Seq
Watch Bernd Bodenmiller's video on innovative research at the Comprehensive Cancer Center Zurich (german only)
The Kümmerli group and collaborators publish a high-throughput method to elucidate siderophores from natural Pseudomonas
The Bodenmiller group develops a 3D IMC approach for multiplexed 3D tissue analysis at single-cell resolution
The Menze group publishes a geometry-aware neural solver for fast Bayesian calibration of brain tumor models
The Krauthammer group and collaborators publish a perspective paper on analyzing patient trajectories with AI
The Polymenidou group shows that patient-derived pathological TDP-43 triggers de novo aggregation of physiological TDP-43 in host cells
Johanna Wagner (Alumnus Bodenmiller group) wins the 2021 Ida de Pottère-Leupold and Dr. iur. Erik de Pottère Cancer Research Award
The Kümmerli group identifies a dual role for siderophores in driving invasion dynamics in bacterial communities
The Polymenidou group publishes a 'Spotlight' on benefits of distributing protein aggregates among microglial networks
The Menze group publishes a deep learning-based approach to segment the claustrum in human brain MRI scans
The Kümmerli group uses single-cell imaging to show that S. aureus is highly competitive against P. aeruginosa on surfaces
The Krauthammer group publishes BE-DICT: An attention-based deep learning algorithm to predict base editing outcomes
The Krauthammer group publishes AttentionDDI: Siamese attention-based deep learning method for drug-drug interaction predictions
The Menze group and collaborators publish VerSe: A vertebrae labelling and segmentation benchmark for multi-detector CT images
Bjoern Menze and Ender Konukoglu (ETHZ) organise 'MIDL 2022 - Medical Imaging with Deep Learning' in Zurich
The Kümmerli group publishes their work on drivers of siderophore-mediated social interactions in natural bacterial communities
The Polymenidou group shows that synaptic FUS accumulation triggers early misregulation of synaptic RNAs in an ALS mouse model
Watch Michael Krauthammer's Inaugural Lecture 'Wie Daten und künstliche Intelligenz die Medizin von morgen prägen'
The Bodenmiller group shows that mapping the breast cancer signaling network improves drug sensitivity prediction
Watch Michael Krauthammer's 'Clinics meets Bioinformatics' Keynote on AI Support in the Clinic
The Bodenmiller group publishes their collaborative work on dysregulation of T cell homeostasis and function in severe COVID-19
The Krauthammer group publishes their collaborative work on AI support for ethical decision-making around resuscitation
The Krauthammer group publishes their collaborative work on oncolytic virotherapy-mediated anti-tumor response
The Tumor Profiler Consortium publishes their study on integrated, multi-omic, functional tumor profiling for clinical decision support
The Bodenmiller group publishes the cytomapper package, a tool to visualise highly multiplexed imaging data in R
The Polymenidou group publishes their collaborative work on direct binding of importins to arginine-rich dipeptide repeat proteins
The Kümmerli group publishes their collaborative work on population invasion through exploitation of Pseudomonas aeruginosa public goods
The Menze group publishes DeepVesselNet, a deep learning approach to perform vessel segmentation, centerline prediction, and bifurcation detection tasks
The Menze group publishes a Deep Learning-enabled tool for segmentation of organs in whole-body mouse scans
The Kümmerli group shows the potential of combining antivirulence drugs with antibiotics against an opportunistic human pathogen
The Bodenmiller group receives SNF support to study primary immune response & memory in COVID-19 patients
The Bodenmiller group publishes their collaborative work on CD4+ T Helper Cell response heterogeneity
The Kümmerli group shows how biotic and abiotic factors affect competitive dynamics between co-infecting human pathogens
The Krauthammer group publishes their work on deep learning-based multimodal fusion techniques to reduce annotation burden
The Krauthammer Group publishes their work on machine learning models for assessing the quality of online health information.
The Kümmerli group publishes their collaborative work on iron-driven phytopathogen control by natural rhizosphere microbiomes
The Krauthammer group publishes a data anonymization reference classification merging legal and technical considerations
Michael Krauthammer shares his vision on using AI to generate medical evidence from real world health data in UZH magazine
The Bodenmiller group publishes their review on profiling cell signaling networks at single-cell resolution
The Bodenmiller group, in collaboration with the Krishnaswamy group, publishes a method to uncover axes of variation among single-cell cancer specimens
The Kümmerli group shows that homogeneous rather than specialised bacterial behavioral repertoires prevail in natural Pseudomonas communities
The Kümmerli group publishes their review on bacterial siderophores in community and host interactions
The Kümmerli group publishes their work on genetic constraints of siderophore cooperation exploitation in Burkholderia cenocepacia
Magdalini Polymenidou appointed Associate Professor for Biomedicine, in particular Molecular Pathogenesis of Neurodegeneration
The Krauthammer group publishes their work on neural network-based models versus logistic regression for predicting readmission
The Bodenmiller group publishes a human kinome- and phosphatome-wide screen revealing overexpression-induced effects on cancer-related signaling
The Kümmerli group publishes their work on the impact of Pseudomonas aeruginosa social interactions on host colonization
The Bodenmiller group finds that breast cancer ecosystems are linked to poor prognosis and immunosuppression.