Research projects at the IMB

By using of theoretical methods and computer-assisted procedures the IMB carry out and support the planning, preparation, analysis and interpretation of basic research / clinical reserach projects.

current projects (selection in alphabetical order):

  • ACRIBIS — Advancing Cardiovascular Risk Identification with Structured Clinical Documentation and Biosignal Derived Phenotypes Synthesis (BMFTR)

  • AMR modeling — Modeling of antimicrobial resistance (AMR) based on surveillance data of acute care hospitals in Saxony (SMS)

  • AMPEL – Scaling of Clinical AI Support (Freistaat Sachsen)

  • BayesPriorSim — Simulation study on prior sensitivity in Bayesian variance component and heritability estimation for hierarchical breeding designs

  • CCmodel — Impact of exposure frequency on disease burden of the common cold - a mathematical modeling perspective
  • DMA/NCT — Core Unit for Data Management and Analytics (NCT/DKFZ)
  • Dynamics of AML — Mechanisms of leukemic stem cell interaction in AML: insights from complementary mathematical modeling approaches
  • Dynamics of hematopoiesis after stem cell transplantation

  • EyeMatics — „Behandlung“ von Augenerkrankungen mit interoperabler medizinischer Informatik (BMFTR)

  • FAIR4Rare — Begleitende Evaluation des Aufbauprozesses eines offenen Nationalen Registers für Seltene Erkrankungen (Innovationsausschuss beim Gemeinsamen Bundesausschuss)

  • GeMTeX — Automatische Erschließung medizinischer Texte für die Forschung und Entwicklung einer großen Textsammlung deutschsprachiger, medizinischer Texte aus der Patientenversorgung (BMFTR)

  • HSCorg — Spatial organisation of haematopoietic stem cells in the bone marrow

  • INTERPOLAR — Interventional Polypharmacy - drug interActions - Risks (Medizininformatik-Initiative, BMFTR)

  • KIMed network — Artificial Intelligence in Medicine - Infrastructures and Applications (EFRE)
  • log-lin-models — Iterative scaling methods for log-linear models expressed using curved exponential families
  • Mathematical modeling of illness and treatment dynamics with chronic myeloid leukemia (CML) (TU Dresden, Core funding)
  • MiHUB — Medical Informatics Hub (BMFTR)
  • MII-MIRACUM — Arbeitsgemeinschaften des Nationalen Steuerungsgremiums (Medizininformatik-Initiative, BMFTR)
  • MinimaL — Machine-Learning-basierte Algorithmen zur Detektion von Resterkrankung bei Patient*innen mit akuter myeloischer Leukämie (Wilhelm Sander-Stiftung)
  • MutRad — Molekulare Strahlensignaturen für den Strahlenschutz (BMFTR)
  • Networking MII-JRG — Networkingproject of the MII-Junior Research Groups (Medizininformatik-Initiative, BMFTR)
  • NUM^OHDSI Connect — strengthens the internationalization of medical research by building a transatlantic network between the German Network of University Medicine (NUM) and the international OHDSI community. The goal is to sustainably integrate German research structures into global data and research networks.
  • NUM4Rare — Registerinfrastruktur für Seltene Erkrankungen: Verknüpfung von krankheitsspezifischen Registern, klinischen Daten und PROMs von Patient*innen mit Seltenen Erkrankungen (BMFTR)
  • PEDNET-LC — Paediatric network for the care and research of post-acute consequences of COVID-19, similar post-acute infection and vaccination syndromes and ME/CFS in children and adolescents
  • PM4Onco — Personalized Medicine for Oncology (BMFTR)
  • RISK PRINCIPE — RISK Prediction for Risk-stratified INfection Control and PrEvention (BMFTR)
  • SCaDS.AI — "Center for Scalable Data Analytics and Artificial Intelligence" (BMFTR)
  • Somnolink — Connected sleep data and decision support along the patient path for better care of Obstructive Sleep Apnea (BMFTR)
  • spat-cog — Spatial cognition in the context of neurodegenerative diseases
  • SPIZ — Sektorenübergreifende Versorgung von Patient*innen mit hämatologischen Erkrankungen nach innovativer Zelltherapie (Mittel des Innovationsausschusses beim Gemeinsamen Bundesausschuss)
  • TKI-Stop — Predicting the risk of relapse after discontinuation of therapy for chronic myeloid leukaemia (CML)
  • trialGPT — an assistance system to foster the design of clinical trials
  • TTE-models — Specific consideration of delays in parametric time-to-event (survival) models

finished projects (selection):

  • ABIDE_MI —  "Aligning Biobanking and DIC Efficiently" (BMBF)
  • 4D analysis of haematopoietic stem cell-niche-interactions in vivo, in vitro, in silico (HFSP)
  • Analyse komplexer, bildbasierter Datenstrukturen in den Lebenswissenschaften (TU Dresden, Support-the-best)
  • Analysis within structural variations by means of NGS (TU Dresden, Core funding)
  • Analysis of cell migration patterns in the zebrafish embryo (TU Dresden, Core funding)
  • BIDA-SE - Einsatzmöglichkei­ten und klinischer Nutzen von Big Data Anwendungen im Kontext seltener Erkrankungen (BMG)
  • CHOICE — Characterization of the osteo-hematopoietic niche during malignant evolution (DKTK)
  • Clonality of hematopoietic reconstitution: old versus young grafts in elderly recipients - lessons from mouse (Jackstädt Stiftung)
  • CML-Immune — Dynamic modelling of the immune response in patients with TKI-treated CML 

  • Computational Virology (TU Dresden, Core funding)

  • Control-T — Mathematical modeling of homeostasis and oncogenesis in mature T cells (DFG, Research group FOR1961)
  • CORD-MI — „Zusammenarbeit für Menschen mit Seltenen Erkrankungen“ (Medizininformatik-Initiative, BMBF)
  • DigiONE — Digital Infrastructure for Oncology in Europe (EU)
  • DISPENSE - Dresdner InformationS Prognosetool bEttenauslastung iN SachsEn (Freistaat Sachsen)
  • EuroSyStem — European Consortium for Systematic Stem Cell Biology (EU FP 7)
  • ERANET-PLL — Implementation of (epi)genetic and metabolic networks in the targeting of T-cell prolymphocytic leukemia (BMBF, EU)
  • GliOmics — Integrative analysis of glioma omics data (TU Dresden (Core funding), National Center for Tumor Diseases (NCT) Dresden, Else Kröner Graduate School)
  • HaematoOPT — Model-based optimization and individualization of treatment strategies in hematology (BMBF, e:Med Demonstratoren)
  • HaematoSys — Systems Biology of Haematopoetic Systems and related Neoplasias (BMBF)
  • Hybrid-QI — Hybride Qualitätsindikatoren mittels Machine Learning-Methoden (Mittel des Innovationsausschusses beim Gemeinsamen Bundesausschuss)
  • InDiBal — The influence of distribution characteristics and data balancing on classification bias in highly unbalanced data sets
  • Junior Associations MelBrainSys — Model-based prediction and experimental validation of novel therapeutic interventions for melanoma brain metastases (BMFTR)
  • Junior Research Group CDS2USE — „Prospektiv-nutzergerechte Gestaltung klinischer Entscheidungsunterstützungssysteme im Kontext personalisierter Medizin“ (Medizininformatik-Initiative, BMFTR)
  • Mathematical modeling of the differentiation of iPS-cells (TU Dresden, Core funding)
  • Mathematical Modelling of Stem Cell / Niche Interactions (TU Dresden, Core funding)
  • Mathematical modeling of individual clone dynamics for genetically modified stem cells within the hematopoetic system (DFG, Priority programme SPP1230/2)
  • MeDDrive-Grant  — Vorhersage der Rückfallwahrscheinlichkeit bei Patienten mit akuter myeloischer Leukämie (AML) mithilfe von Computersimulationen und Deep Learning (Medizinische Fakultät der TU Dresden, Haushaltsfinanziert)
  • MEDiC — Modellstudiengang Medizin (Bund, Freistaat Sachsen)
  • MelanOmics — Integrative analysis of omics data of melanoma metastases (National Center for Tumor Diseases (NCT) Dresden)
  • MelBrainNet — Identification and validation of proteins and signaling pathways associated with therapy resistance of melanoma brain metastases (Translational Research Grant in Precision Oncology, NCT)
  • MessAge — Medical systems biology of ageing haematopoiesis: clonality, age-associated alterations, and related diseases (BMBF, e:Bio)
  • MiHUBx — ein digitales Ökosystem zur Stärkung von medizinischer Forschung (BMFTR)
  • MIRACUM (medical informatics initiative, BMBF)

  • Model-based analysis of spatio-temporal heterogeneity of mouse embrynic stem cells with respect to its functional role in regulating pluripotency (DFG, Priority programme SPP1356/2)

  • Modeling the reconstitution dynamics of hematopoiesis after stem cell transplantation using neutral multicolor barcode marking for high-resolution cell tracking (DFG)

  • PANOS – ParkinsonNetzwerk Ostsachsen - Digitalisierte, sektorübergreifende integrierte Versorgung von Parkinsonpatienten in Ostsachsen (BMG)

  • prediCt — Mathematical modelling of TKI effects and immune response to predict patient-specific treatment dynamics in CML (BMBF, EU)

  • PROSPER — Plattform for Operation Scheduling and Prediction using machine learning (Freistaat Sachsen)

  • Quantitative Analysen und Modellierung zur Klonalität der Entstehung und des Rezidivs akuter und chronischer Leukämien im Maussystem durch Einzelzell-Barcoding (Deutsche Krebshilfe e.V.)
  • RL4AML — Reinforcement Learning for treatment and prediction in AML patient progression

  • SATURN — Smartes Arztportal für Betroffene mit unklarer Erkrankung (BMG)

  • SyTASC — Systems-based Therapy of AML Stem Cells (Deutsche Krebshilfe e.V.)
  • Teleschlafmedizin (EFRE)
  • TKI-Reduct — Mathematical modelling of TKI dose reduction

  • Transmembrane receptors in focal adhesions — Identification of therapy resistance mechanisms and their deactivation in combination with radiochemotherapy (Deutsche Krebshilfe e.V.)

  • VBTKR — Value Based Total Knee Replacement (Mittel des Innovationsfonds zur Förderung von Versorgungsforschung, G-BA)

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Anne Pelz
Last modified: May 14, 2026