Program

BMIgap: a new tool to quantify obesity-related brain variations

Reproducible digital twins for personalized liver function assessment

Iterative registration as a general framework for aligning multiplexed imaging data

Multi-omics data integration by probabilistic graphical models

Benchmarking collaborative filtering approaches to drug repurposing

Proteomic Meta-Study Harmonization, Mechanotyping and Drug Repurposing Candidate Prediction with ProHarMeD

Meta-analysis of fecal metaproteomic datasets reveals robust human and microbial signatures for inflammatory

bowel disease

Towards case-specific prediction and optimization of BH3-mimetic treatments

PriOmics: omics data integration via mixed-graphical modelling and grouping priors

A Multi-Compartment Disease Map Approach to NAFLD

Computational modelling of immune response in chronic myeloid leukemia patients suggests potential for treatment

reduction prior to cessation

Integration of network biology and pharmacophore modelling to repurpose drugs targeting tumor associated macrophages

Identification of genome-wide expression differences between patient-matched intra- and extracranial melanoma metastasis pairs using Hidden Markov Models

High-resolution multiplex spinning disk confocal immunofluorescence of tumor tissues as a tool to simultaneously extract spatial morphological and protein

expression information at the subcellular level

Identification of cancer cells from de novo SNVs calls in single-cell RNA datasets

Senescence systems medicine for individualized lymphoma therapy

From protein-protein to isoform-isoform interactions: the toolkit to map alternative splicing to interactome

Comparative multi-omics analysis in peripheral blood identifies unique and shared core molecular signatures across different chronic inflammatory diseases

A live attenuated vaccine confers superior mucosal and systemic immunity to SARS-CoV-2 variants in hamsters

Genetics of phytosterol metabolism and its effects on atherosclerosis formation

Tumor networks in brain metastases

Predicting the time to relapse for individual patients with glioblastoma for optimising the second-line of treatment

Tracking the evolutionary dynamics under chemotherapy in small cell lung cancer (SCLC)

Towards spatial multiomics in archival pathology specimens

Longitudinal variability in splicing patterns of the blood transcriptome in a population cohort

1

Efficient integration of censored, ordinal, and nonlinear-monotone data in parameter estimation for ODE models

Domagoj Doresic,

University Bonn

2

Optimal Transport based directed cell-cell communication network disease clustering

James Shiniti Nagai,

RWTH Hospital University

Aachen

3

Using multi-task learning to identify genetic risk signatures simultaneously predictive of alcohol misuse and brain function

Roman Schefzik,

ZI Mannheim

4

Differential network analysis in cancer research: application of jointly estimated Gaussian Graphical Models (GGM) for comparison of healthy pancreas and PDAC tumor tissue networks

Karly Conrads,

University Medical Center Göttingen

5

Basal MET Phosphorylation is an Indicator of Hepatocyte Dysregulation in Liver Disease

Svenja Kemmer,

University of Freiburg

6

Dissecting genotype-phenotype relationships in acute myeloid leukemias by cohort-scale multi-layered single-cell approaches

Sarah Gräßle,

HU Berlin, BIH, Charité

7

Germline Variation in Pediatric Cancer Patients Suggests Subentity Specific Predisposition Genes

Carolin Prexler,

TUM Munich, TU Dresden

8

Cell type-specific multi-omics analysis of cocaine use disorder in the human caudate nucleus

Eric Zillich,

CIMH Mannheim

9

Unraveling molecular dependencies of key co-alterations in Small Cell Lung Cancer

Niloufar Mosaddeghzadeh,

University of Cologne

10

Enhancing Neoantigen Expression in Small Cell Lung Cancer via Inhibition of Nonsense-Mediated Decay

Lucia A. Torres Fernández,

University of Cologne

11

Newest Advances on the FeatureCloud Platform for Federated Learning in Biomedicine

Niklas Probul,

University of Hamburg

12

Deciphering the Structural Patterns of Transcription Factors with Deep Learning

Cigdem Hazal Timucin,

University Medical Center Göttingen

13

Bucket Fuser: Statistical Signal Extraction for 1D 1H NMR Metabolomic Data

Helena Zacharias,

University Medical Center Göttingen

14

Collaborative Modelling and Simulation of Multiscale Disease Processes using Morpheus

Lutz Brusch,

TU Dresden

15

Personalized prediction of mortality risks in chronic kidney disease patients

Bence Oláh,

TU Braunschweig, Hannover Medical School

16

Coarse-grained models of cellular metabolism and growth

Ralf Steuer,

Humboldt-University of Berlin

17

The Spatial transcriptomic landscape of the spleen knockout mouse

Archana Bhardwaj,

University of Kiel and University Medical Center Schleswig-Holstein

18

Identifying differences between paired patient-specific melanoma brain and extra-cranial metastases applying melanoma-specific gene regulatory networks

Konrad Grützmann,

TU Dresden

19

Structural-functional connectomics following iTBS treatment for major depressive disorder

Asude Tura,

University Medical

Center Göttingen

20

Chronic kidney disease progression by disease etiology and sex using eGFR slope analysis: the GCKD study

Ulla Schultheiß,

Uniklinik Freiburg