Potential R+D

Wrocław University of Science and Technology (Wrocław Tech), founded in August 1945, is today one of the most dynamic academic and research centers in Poland. To date, PWr researchers have participated in 33 FP5 projects, 50 FP6 projects, 56 FP7 projects, and 30 Horizon 2020 projects, and continue their activities under the Horizon Europe programme, as well as within the LIFE, COSME, and COST initiatives, and numerous national research grants.​

In recognition of its consistent implementation of the principles of the European Charter for Researchers, the University was awarded the prestigious “HR Excellence in Research” logo in 2016.

R&D Infrastructure

  • Clinical trial design – randomization, control group allocation, adaptive trial designs
  • Clinical data analysis – statistical testing, regression modeling, survival analysis
  • Quality control and validation of results – hypothesis testing methodologies, multiple comparison adjustment, external validation
  • Regulatory aspects of analysis – compliance with guidelines such as Good Clinical Practice (GCP)​
  • Biostatistics in translational medicine – integration of preclinical, clinical, and population data​
  • Modeling of biological and clinical processes – e.g., disease dynamics, pharmacokinetic (PK) and pharmacodynamic (PD) models​
  • Optimization – clinical trial design optimization, sample size determination, patient allocation strategies​
  • Complex systems analysis – e.g., biological network modeling (genes, proteins, metabolites)​
  • Medical imaging – image reconstruction, signal enhancement algorithms
  • Machine learning and deep learning – patient stratification, disease progression prediction, medical image analysis​
  • Large-scale data analysis (big data) – integration and analysis of omics data (genomics, proteomics, metabolomics), electronic health records​
  • Predictive models and clinical decision support systems – therapy personalization, adverse event prediction​
  • Metabolomic, lipidomic, and proteomic analyses – compound profiling in biological fluids and tissues, biomarker identification, and assessment of therapeutic impact on patient metabolism​
  • Quantitative and qualitative LC-MS/MS analyses using high-resolution Q-ToF mass spectrometers (Synapt G2 Si, Xevo G3) – identification and characterization of metabolites, biomarkers, and endogenous and exogenous compounds in biological samples​
  • Pharmacokinetic studies and drug quantification using an ultra-sensitive triple quadrupole mass spectrometer (Xevo TQ Absolute XR) – trace-level quantification of drugs and metabolites, critical for bioavailability and bioequivalence studies​
  • Volatile organic compound (VOC) analysis – quantitative analysis using GC×GC-MS/MS systems, enabling advanced characterization of volatile metabolite profiles and breath and environmental markers​


Additionally, we operate an accredited laboratory (ISO 17025) that is also applying for Good Laboratory Practice (GLP) accreditation and offers analyses such as:​

  • Multi-element analysis of invasive and non-invasive biological matrices (e.g., hair, blood, tissues) using HPLC ICP MS, ICP MS, ICP OES, and AAS methods; evaluation of factors differentiating elemental composition and development of reference values for nutritional and toxicological studies​
  • Speciation analysis of trace elements in biological samples​
  • Assessment of human exposure to toxic elements originating from food, water, and the environment​
  • Mineral profiling (mineralogram) and genetics – mineral analysis of hair and blood covering approximately 30 elements; results combined with patient single nucleotide polymorphism (SNP) profiles may be used to identify chemical–genetic correlations related to cancer and cardiovascular disease risk​
  • Biocompatibility analysis of biomaterials – quantitative assessment of metal ion release from implants and dental materials under simulated physiological conditions, supporting preclinical studies of novel materials​
  • Development and validation of potassium- and micronutrient-enriched products as an adjunct to conventional supplementation – functional foods supporting clinical interventions​
  • Design of biologically active compounds (enzyme inhibitors, substrates)​
  • Organic compound synthesis​
  • Immunochemical studies​
  • In vitro assays (cell-based studies)​
  • Recombinant protein expression​
  • Acquisition of IgY antibodies​
  • Antimicrobial activity testing
  • Preoperative models – design and production of models supporting surgical planning in complex and atypical cases​
  • Personalized implants – development of patient-specific solutions (orthopedics, traumatology, maxillofacial surgery)​
  • Bioprinting – development of technologies enabling the creation of structures that replicate the properties of biological tissues, paving the way for new educational applications and preclinical research​
  • Drug delivery systems – design and evaluation of solutions enabling controlled delivery of active substances for targeted therapy
  • Development of dedicated medical solutions, including materials, implants, stabilizers, prostheses, orthoses, biofunctionalized biomaterials, and stent coatings (nanomaterials, photodynamic therapy)​
  • Mechanical and physicochemical characterization and imaging of tissues and biomaterials​
  • Numerical analysis of tissue remodeling and its interactions with implants​
  • Motion analysis and assessment of rehabilitation progress​
  • Medical image analysis and intraoperative navigation​
  • Development and validation of algorithms for real-time patient monitoring​
  • Modeling of physiological processes and investigation of mechanisms regulating cerebral blood flow​
  • Development of analytical methods for clinical diagnostics and prognosis​
  • Modeling and analysis of protein and peptide sequences and structures, including phylogenetic analysis​
  • Biomedical optics and development of advanced quantitative bioimaging techniques (holotomography, spectral microscopy, OCT)​
  • Optical phenotyping and differentiation of biological objects (cells, tissues) based on analysis of their interactions with light​
  • Investigation of physiological and pathophysiological processes, including blood–biomaterial interactions in extracorporeal circulation and hemorheology​
  • Microfluidics and computational modeling of flow systems​
  • Development of innovative antimicrobial photodynamic therapies and anti-adhesive coatings​
  • Computational modeling and quantum chemistry (DFT/ab initio), molecular docking, and binding free energy calculations (FEP/TI)​
  • Large-scale molecular dynamics simulations (classical and coarse-grained) of proteins, drug–protein complexes, and lipid membranes​
  • Machine learning and AI in molecular design and evaluation (QSAR/ADMET models, generative models for drug optimization)​
  • Experimental biophysics of lipid membranes (monolayers, liposomes) – studies of interactions, membrane fluidity, mechanical properties, and potential toxicity​
  • Predictive, preventive, and personalized medicine (PPPM), including thermographic diagnostics and personalized clinical interventions​
  • Development of clinical algorithms for infectious disease diagnostics​
  • Pathogen genomics (bacteria and viruses) and gut microbiome sequencing data analysis​
  • Ex vivo animal eye studies and in vivo human eye studies, including statistical processing of signals and medical images (optometry, ophthalmology), optical coherence tomography, ocular biometry, corneal biomechanics, corneal topography/tomography, glaucoma diagnostic support methods, modern vision correction techniques, and myopia

Preparation and digitization of medical data, including:​

  • Removal of artifacts and noise from multimodal datasets (MRI, CT, PET and others) using adaptive filtering techniques and deep learning​
  • Structuring and digitization of metadata (standardization of DICOM and HL7 FHIR formats), including automatic attribute mapping, consistency validation, and completion of missing information​

Event detection and identification of atypical values (anomaly detection), including:​

  • Implementation of algorithms detecting deviations from typical patterns in real time (e.g., changes in ECG signals, fluctuations of vital parameters) using statistical methods, neural networks, and hybrid approaches​
  • Monitoring the nature of variability of patient parameters — analysis of distribution, trends, and seasonality of biometric data to enable early detection of clinical incidents or measurement errors​

Image analysis and segmentation to support patient eligibility assessment, including:​

  • Automatic segmentation of organs and pathological regions using convolutional networks and transformers in multimodal images, accelerating patient qualification for clinical trials​
  • Detection and tracking of disease-related changes through comparison of temporal patterns and integration of results with other clinical data​

Support for clinical documentation and processes using large language models, including:​

  • Generation and verification of electronic health records (EHR), extraction of relevant information from reports, physicians’ notes, and scientific literature​
  • Automatic adaptation of clinical guidelines and study protocols to the specifics of a given center, based on the latest publications and standards​

Data integration, quality monitoring, and data security, including:​

  • Development of ETL (Extract, Transform, Load) with continuous data quality monitoring, anomaly detection during data transfer, and consistency validation​
  • Ensuring compliance with General Data Protection Regulation and ISO 27001 regulations, encryption of data in transit and at rest, and access rights management​


Development and evaluation of AI models for histopathological image analysis
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Development of scientific software and services for biomedical data sharing​

  • Computational modeling of the respiratory system​
  • Analysis of biosignals such as spirometry, FOT, ECG, EEG, PPG, HRV, EDA/GSR, ACC​
  • Measurement of human vital signals using wearable devices​
  • Assessment of respiratory system properties using spirometry and the Forced Oscillation Technique (FOT)​
  • Support of diagnostics, monitoring, and therapy using artificial intelligence
  • Research on biomarkers of cancer and civilization diseases​
  • Analysis of molecular mechanisms in preclinical models​
  • Validation of new targeted therapies​
  • Research in personalized medicine​
  • Single-cell multi-omics studies; transcriptomic analyses, immunological profiling, and investigation of cellular heterogeneity in clinical samples​
  • Immunoenzymatic, cytotoxicity, and cell proliferation assays​
  • Environmental studies (impact of microplastics, air pollution, and food contaminants on metabolic and genetic effects)​
  • Research in cardiogenetics (cardiac arrhythmias), including predisposition to life-threatening arrhythmias​
  • Multiparametric analysis of proteins (including antibodies) and nucleic acids​
  • Quantitative gene expression analysis, genotyping, and mutation detection​
  • Genetic markers testing in patients​
  • Development of organoid models for rare genetic diseases​
  • Interest in research on gene therapy and stem cell therapy

Clinical Infrastructure

  • 20 hospital wards​
  • Leading / unique specialties: Pediatrics, Infectious Diseases, Neurology, Internal Medicine, Gastroenterology​
  • 497 beds​
  • Over 25,000 hospitalized patients and over 17,000 outpatient visits annually

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  • 23 hospital wards​
  • Leading / unique specialties: Robotic Surgery, Oncologic Surgery, Vascular Surgery, Otolaryngology, Cardiology​
  • 650 beds​
  • Over 71,000 hospitalized patients and over 119,000 outpatient visits annually​
  • 270 clinical trials conducted

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  • 9 hospital wards and a Dialysis Unit​
  • Leading specialties: Anesthesiology and Intensive Care, General Surgery, Internal Medicine, Emergency Medicine, Neurology, Orthopedics and Traumatology, Pediatrics, Obstetrics and Gynecology, Family Medicine​
  • 306 beds​
  • Over 32,000 hospitalized patients and over 140,000 outpatient visits annually​
  • 11 clinical trials completed, 3 ongoing​

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