DQBM's roundup of 2020
We are UZH's Department of Quantitative Biomedicine (DQBM)
Founded in 2019, the DQBM's mission is to foster research and education at the interface of biomedical research, bio-technology, and computational biology, to develop the foundations of next-generation precision medicine. Ultimately, our goal is to advance precision medicine for the benefit of patients.
We aim to strengthen quantitative biomedicine in Zurich
To achieve this, we take on the challenge of bridging the gap between basic research, data science and translational / clinical research groups. Specifically, we aim to strengthen quantitative biomedicine in Zurich by combining basic research and the development of novel quantitative methods for the molecular analysis of patient samples, with translational research and the development of medical informatics (Figure 1).
Ambitious goals require excellent science
To fulfil our mission, we rely on excellent science done by outstanding scientists. Below, we highlight the academic achievements of DQBM's members in 2020.
The following professorships were established at DQBM in 2020:
- Bjoern Menze was appointed Full Professor for Biomedical Image Analysis and Machine Learning, funded by the Helmut Horten Foundation, as of 01.09.2020.
- Bernd Bodenmiller was appointed Dual Professor for Quantitative Biomedicine at UZH and ETHZ, as of 01.10.2020.
Grants and Fellowships
2020 was a successful fundraising year for DQBM's scientists. Notably:
- Bernd Bodenmiller received an SNSFproject grant to study COVID-19 immunity, in collaboration with Prof. Onur Boyman.
- Bernd Bodenmiller was supported as consortium member of the collaborative research initiative SKINTEGRITY.
- Bernd Bodenmiller received project funding from the Cancer Research Center Zurich, in collaboration with Prof. Holger Moch.
- Bernd Bodenmiller received funding as consortium member of the Hochschulmedizin Zürich Flagship project ImmunoPhage.
- Michael Krauthammer is project partner on two Innosuisse grants for clinical data science projects.
- Michael Krauthammer received funding from The LOOP Zurich.
- Michael Krauthammer will contribute his AI expertise as consortium partner of the University Research Priority Program (URPP) "Human Reproduction Reloaded".
- Magdalini Polymenidou received a competitive EU Consortium Grant from the EU Joint Programme - Neurodegenerative Disease Research (JPND) as coordinator of the ImageTDP43 consortium.
- Magdalini Polymenidou received an Innosuisse grant to evaluate the efficacy of a drug candidate for ALS.
- Magdalini Polymenidou received an SNSF project grant to explore the molecular basis of disease heterogeneity in TDP-43 proteinopathies.
- Magdalini Polymenidou received an NIH grant to study the development of immunotherapy targeting pathological TDP-43 in ALS and FTLD.
DQBM's junior scientists also did a fantastic job in securing research funds:
- Nicolas Damond (Bodenmiller lab) was awarded a JDRF FY20 postdoctoral fellowship.
- Nils Eling (Bodenmiller lab) received a Marie Skłodowska-Curie Actions Postdoctoral Fellowship to analyse heterogeneity formation in breast cancer organoids.
- Nicolas Perez (Krauthammer lab) received an UZH Entrepreneur Fellowship.
- Zsolt Balázs (Krauthammer lab) received an UZH Forschungskredit for the project “Cell-free DNA as a predictive biomarker in preeclampsia”.
- Pierre De Rossi (Polymenidou lab) was awarded the Career Development Award from Synapsis Foundation, which supports advanced postdoctoral researchers at Swiss Universities and Research Institutions seeking to establish themselves as independent researchers in the field of neurodegenerative disorders.
- Vera Wiersma (Polymenidou lab) received a FEBS Long-Term Fellowship.
Awards and Prizes
The Following DQBM members were honored for their scientific excellence:
- Magdalini Polymenidou was awarded the Franco Regli Prize 2018/2019 (2nd Prize ex æquo) for her work: 'TDP-43 extracted from frontotemporal lobar degeneration subject brains displays distinct aggregate assemblies and neurotoxic effects reflecting disease progression rates' (link).
- Johanna Wagner-Albrecht (Bodenmiller lab) was awarded the Annual Award 2020 from UZH's Faculty of Science for her PhD thesis: 'Single-Cell Proteomic Characterization of the Tumor and Immune Ecosystem of Human Breast Cancer with Focus on Metastatic Potential'.
The following bright minds completed their PhD thesis in 2020:
- Katharina Hembach (Polymenidou lab): 'Computational analyses of high-throughput sequencing data to understand RNA metabolism defects associated with ALS'.
- Sonu Sahadevan (Polymenidou lab): 'Understanding the role of FUS in synaptic RNA homeostasis and its misregulation in neurodegenerative diseases'.
Furthermore, the following MSc students graduated in 2020 with a DQBM MSc thesis:
- Michelle Daniel (Bodenmiller lab): 'Towards characterisation of β cell heterogeneity: coupling human pancreatic islet culture and imaging mass cytometry'.
- Tobias Hoch (Bodenmiller lab): 'Characterization of chemokine expression in metastatic melanoma using simultaneous multiplexed mRNA and protein imaging by Mass Cytometry'.
- Johanna Furrer (Polymenidou lab): 'Developing new cellular models to explore TDP-43-associated pathologies'.
- Laura de Vos (Polymenidou lab): 'Development of new cellular models to study TDP-43 associated proteinopathies'.
Cytomapper: an R/bioconductor package for visualisation of highly multiplexed imaging data.
Eling N, Damond N, Hoch T, Bodenmiller B.
Bioinformatics. 2020 Dec 26:btaa1061.
A quantitative analysis of the interplay of environment, neighborhood, and cell state in 3D spheroids.
Zanotelli VR, Leutenegger M, Lun XK, Georgi F, de Souza N, Bodenmiller B.
Mol Syst Biol. 2020 Dec;16(12):e9798.
Mechanistic Model of Signaling Dynamics Across an Epithelial Mesenchymal Transition.
Wade JD, Lun XK, Zivanovic N, Voit EO, Bodenmiller B.
Front Physiol. 2020 Nov 30;11:579117.
LifeTime and improving European healthcare through cell-based interceptive medicine.
Rajewsky N, Almouzni G, Gorski SA, Aerts S, Amit I, Bertero MG, Bock C, Bredenoord AL, Cavalli G, Chiocca S, Clevers H, De Strooper B, Eggert A, Ellenberg J, Fernández XM, Figlerowicz M, Gasser SM, Hubner N, Kjems J, Knoblich JA, Krabbe G, Lichter P, Linnarsson S, Marine JC, Marioni JC, Marti-Renom MA, Netea MG, Nickel D, Nollmann M, Novak HR, Parkinson H, Piccolo S, Pinheiro I, Pombo A, Popp C, Reik W, Roman-Roman S, Rosenstiel P, Schultze JL, Stegle O, Tanay A, Testa G, Thanos D, Theis FJ, Torres-Padilla ME, Valencia A, Vallot C, van Oudenaarden A, Vidal M, Voet T; LifeTime Community Working Groups.
Nature. 2020 Nov;587(7834):377-386.
High-Dimensional T Helper Cell Profiling Reveals a Broad Diversity of Stably Committed Effector States and Uncovers Interlineage Relationships.
Tortola L, Jacobs A, Pohlmeier L, Obermair FJ, Ampenberger F, Bodenmiller B, Kopf M.
Immunity. 2020 Sep 15;53(3):597-613.e6.
Profiling Cell Signaling Networks at Single-cell Resolution.
Lun XK, Bodenmiller B.
Mol Cell Proteomics. 2020 May;19(5):744-756.
Uncovering axes of variation among single-cell cancer specimens.
Chen WS, Zivanovic N, van Dijk D, Wolf G, Bodenmiller B, Krishnaswamy S.
Nat Methods. 2020 Mar;17(3):302-310.
The single-cell pathology landscape of breast cancer.
Jackson HW, Fischer JR, Zanotelli VRT, Ali HR, Mechera R, Soysal SD, Moch H, Muenst S, Varga Z, Weber WP, Bodenmiller B.
Nature. 2020 Feb;578(7796):615-620.
Stabilized Reconstruction of Signaling Networks from Single-Cell Cue-Response Data.
Kumar S, Lun XK, Bodenmiller B, Rodríguez Martínez M, Koeppl H.
Sci Rep. 2020 Jan 27;10(1):1233.
Differential immunomodulatory Effect of PARP Inhibition in BRCA1 deficient and competent tumor cells.
Alvarado-Cruz I, Mahmoud M, Khan M, Zhao S, Oeck S, Meas R, Clairmont K, Quintana V, Zhu Y, Porciuncula A, Wyatt H, Ma S, Shyr Y, Kong Y, LoRusso PM, Laverty D, Nagel ZD, Schalper KA,Krauthammer M, Sweasy JB.
Biochem Pharmacol. 2020 Dec 4:114359.
The Association of MUC16 Mutation with Tumor Mutation Burden and Its Prognostic Implications in Cutaneous Melanoma.
Wang X, Yu X, Krauthammer M, Hugo W, Duan C, Kanetsky PA, Teer JK, Thompson ZJ, Kalos D, Tsai KY, Smalley KSM, Sondak VK, Chen YA, Conejo-Garcia JR.
Cancer Epidemiol Biomarkers Prev. 2020 Sep;29(9):1792-1799.
The Gene Expression Profile of Uropathogenic Escherichia coli in Women with Uncomplicated Urinary Tract Infections Is Recapitulated in the Mouse Model.
Frick-Cheng AE, Sintsova A, Smith SN, Krauthammer M, Eaton KA, Mobley HLT.
mBio. 2020 Aug 11;11(4):e01412-20.
AutoDiscern: rating the quality of online health information with hierarchical encoder attention-based neural networks.
Kinkead L, Allam A, Krauthammer M.
BMC Med Inform Decis Mak. 2020 Jun 9;20(1):104.
Lost in Anonymization - A Data Anonymization Reference Classification Merging Legal and Technical Considerations.
Vokinger KN, Stekhoven DJ, Krauthammer M.
J Law Med Ethics. 2020 Mar;48(1):228-231.
Loss of a pyoverdine secondary receptor in Pseudomonas aeruginosa results in a fitter strain suitable for population invasion.
González J, Salvador M, Özkaya, Ö, Spick M, Reid K, Costa C, Bailey MJ, Avignone Rossa C, Kümmerli R & Jiménez JI.
ISME J 2020 Dec 15.
Microbial Mutualism: Will You Still Need Me, Will You Still Feed Me?
Figueiredo ART, Kümmerli R.
Curr Biol. 2020 Sep 21;30(18):R1041-R1043.
Antagonistic interactions subdue inter-species green-beard cooperation in bacteria.
Sathe S, Kümmerli R.
J Evol Biol. 2020 Sep;33(9):1245-1255.
Strain Background, Species Frequency, and Environmental Conditions Are Important in Determining Pseudomonas aeruginosa and Staphylococcus aureus Population Dynamics and Species Coexistence.
Niggli S, Kümmerli R.
Appl Environ Microbiol. 2020 Sep 1;86(18):e00962-20.
Combining antibiotics with antivirulence compounds can have synergistic effects and reverse selection for antibiotic resistance in Pseudomonas aeruginosa.
Rezzoagli C, Archetti M, Mignot I, Baumgartner M, Kümmerli R.
PLoS Biol. 2020 Aug 18;18(8):e3000805.
Competition for iron drives phytopathogen control by natural rhizosphere microbiomes.
Gu S, Wei Z, Shao Z, Friman VP, Cao K, Yang T, Kramer J, Wang X, Li M, Mei X, Xu Y, Shen Q,Kümmerli R, Jousset A.
Nat Microbiol. 2020 Aug;5(8):1002-1010.
Bacterial siderophores in community and host interactions.
Kramer J, Özkaya Ö, Kümmerli R.
Nat Rev Microbiol. 2020 Mar;18(3):152-163.
Harnessing bacterial interactions to manage infections: a review on the opportunistic pathogen Pseudomonas aeruginosa as a case example.
Rezzoagli C, Granato ET, Kümmerli R.
J Med Microbiol. 2020 Feb;69(2):147-161.
Positive linkage between bacterial social traits reveals that homogeneous rather than specialised behavioral repertoires prevail in natural Pseudomonas communities.
Kramer J, López Carrasco MÁ, Kümmerli R.
FEMS Microbiol Ecol. 2020 Jan 1;96(1):fiz185.
DeepVesselNet: Vessel Segmentation, Centerline Prediction, and Bifurcation Detection in 3-D Angiographic Volumes.
Tetteh G, Efremov V, Forkert ND, Schneider M, Kirschke J, Weber B, Zimmer C, Piraud M, Menze BH.
Front Neurosci. 2020 Dec 8;14:592352.
Deep learning-enabled multi-organ segmentation in whole-body mouse scans.
Schoppe O, Pan C, Coronel J, Mai H, Rong Z, Todorov MI, Müskes A, Navarro F, Li H, Ertürk A, Menze BH.
Nat Commun. 2020 Nov 6;11(1):5626.
Silent 3D MR sequence for quantitative and multicontrast T1 and proton density imaging.
Liu X, Gómez PA, Solana AB, Wiesinger F, Menzel MI, Menze BH.
Phys Med Biol. 2020 Sep 16;65(18):185010.
Spatial Distribution of Focal Lesions in Whole-Body MRI and Influence of MRI Protocol on Staging in Patients with Smoldering Multiple Myeloma According to the New SLiM-CRAB-Criteria.
Wennmann M, Hielscher T, Kintzelé L, Menze BH, Langs G, Merz M, Sauer S, Kauczor HU, Schlemmer HP, Delorme S, Goldschmidt H, Weinhold N, Hillengass J, Weber MA.
Cancers 2020 Sep 7;12(9):2537.
Nuclear import receptors directly bind to arginine-rich dipeptide repeat proteins and suppress their pathological interactions
Hutten S, Usluer S, Bourgeois B, Simonetti F, Odeh HM, Fare CM, Czuppa M, Hruska-Plochan M, Hofweber M, Polymenidou M, Shorter J, Edbauer D, Madi T & Dormann D.
Cell Rep. 2020 Dec 22;33(12):108538.
Phase Separation and Neurodegenerative Diseases: A Disturbance in the Force.
Zbinden A, Pérez-Berlanga M, De Rossi P, Polymenidou M.
Dev Cell. 2020 Oct 12;55(1):45-68.
A Gut Feeling about C9ORF72.
Trends Immunol. 2020 Sep;41(9):755-757.
We are thrilled about, and grateful for, all our members' achievements, opportunities and successes in this particularly challenging year. Moreover, we are looking forward to an exciting year ahead: In Autumn 2021, the wet labs will move into the new building on Campus Irchel (UZI5) and the DQBM will organise its first joint Block Course within the biomedicine curriculum. Furthermore, we will proclaim our founding with a celebratory DQBM Founding Symposium on 29.11.2021 and, of course, we will be doing more excellent science. Please stay tuned!
- The Bodenmiller group identifies prognostic single-cell populations in breast cancer lymph node metastases
- The Menze group publishes a deep learning approach to predict collateral flow in stroke patients
- 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 Menze group and collaborators publish the liver tumor segmentation benchmark
- The Bodenmiller group develops a strategy that estimates tissue spatial segregation to optimise multiplexed imaging experimental design
- DQBM's roundup of 2022
- The Polymenidou group's research is featured in EU GrantsAccess' Science Stories
- The Polymenidou group and collaborators systematically evaluate human-derived anti-poly-GA antibodies in C9orf72 disease models
- 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 Menze group publishes a new way of solving the inverse problem for brain tumor modeling
- The Kümmerli group shows that loss-of-function and regulon modulation drives diversification in quorum sensing activity patterns in P. aeruginosa
- The Menze group improves deep learning based super-resolution of 4D-flow MRI data
- 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 Kümmerli group shows coordination of siderophore gene expression in clonal P. aeruginosa cells
- The Bodenmiller group's research is featured in EU GrantsAccess' Science Stories
- 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 Bodenmiller group characterises chemokine expression and function in melanoma
- Magdalini Polymenidou receives an ERC Consolidator Grant
- 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
- Zsolt Balázs (Krauthammer group) wins the Pfizer Research Prize 2022
- 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
- DQBM's roundup of 2021
- Michael Krauthammer's team is part of the new Innosuisse Flagship Project 'Smart Hospital'
- Prof. Dr. Nicole Joller and her team join the DQBM
- Rolf Kümmerli appointed Associate Professor for Evolution of Human Microbiomes and Pathogens
- The Krauthammer group and collaborators publish a perspective paper on analyzing patient trajectories with AI
- The Polymenidou group is awarded an SNSF Sinergia Grant together with collaborators at UZH and ETHZ
- "Bridging the Gap to Patients"
- 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
- Johanna Furrer (Polymenidou group) wins the Faculty of Science's Semester Prize
- 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
- DQBM's wet lab groups are moving into UZI5
- 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 Kümmerli group shows that ecology drives evolution of social strategies in P. aeruginosa
- The Polymenidou group and collaborators show that LAG3 does not modulate α-synucleinopathies
- 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
- Watch the #NCCRWomen feature on Magdalini Polymenidou
- 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
- Watch Michael Krauthammer's NGW talk on AI in Medicine
- The Menze group publishes their review on deep learning for medical image analysis
- 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 Bodenmiller group publishes their collaborative work on innate immune responses in COVID-19
- The Polymenidou group publishes their collaborative work on direct binding of importins to arginine-rich dipeptide repeat proteins
- The Bodenmiller group publishes their work on spatial phenotypic variability in 3D spheroids
- 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 Polymenidou group publishes their review on liquid-liquid phase separation in neurodegeneration
- The Polymenidou group receives competitive EU Consortium Grant
- Bernd Bodenmiller appointed as Dual Professor for Quantitative Biomedicine at UZH and ETH Zurich
- 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
- Prof. Dr. Bjoern Menze and his team join the DQBM
- The Kümmerli group shows how biotic and abiotic factors affect competitive dynamics between co-infecting human pathogens
- The Kümmerli group shows that competition overrides inter-species cooperation in bacteria
- 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
- Magdalini Polymenidou awarded Franco Regli Prize 2018/2019
- The Krauthammer group publishes a data anonymization reference classification merging legal and technical considerations
- Johanna Wagner-Albrecht (Bodenmiller group) wins the 2020 Faculty of Science's Annual Thesis Award
- 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 publishes their work linking imaging mass cytometry to breast cancer genomics
- The Kümmerli group publishes their review on harnessing bacterial interactions to manage infections
- The Bodenmiller group publishes their work on the single-cell pathology landscape of breast cancer
- The Bodenmiller group, in collaboration with the Krishnaswamy group, publishes a method to uncover axes of variation among single-cell cancer specimens
- DQBM's roundup of 2019
- Bernd Bodenmiller awarded ERC Consolidator Grant
- Julien Weber (Polymenidou group) wins Best Lab Manager Award 2019
- 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
- Bernd Bodenmiller selected for the Analytical Scientist's 2019 Power List Top 100
- 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.
- The Polymenidou group publishes their work on RNA binding of FUS
- The Polymenidou group publishes their work on TDP-43 strains
- Bernd Bodenmiller receives Friedrich Miescher Award
- The Department of Quantitative Biomedicine has been founded!