Computer aided diagnostics and therapy
The dynamic industrial development that began in the 20th century and the change in the age structure of the society brought a large increase in the incidence of so-called civilisation diseases, currently responsible for over 80% of deaths. Integration of technical sciences with medicine and biology has in recent years contributed to a significant improvement in both diagnostics and planning and monitoring of the effects of therapy and the emergence of new research platforms allowing for an even greater understanding of the causes and evolution of diseases.
Computer-assisted diagnostics and therapy based on multimodal data using image navigation in 3D and 4D series of abdominal parenchymal organs are the subjects of SUT research teams too, and the developed breast biopsy support system has been successfully used in NIO procedures. The development of innovative optoelectronic sensor structures for applications in the rehabilitation of motor disability (with the Cardiac Surgery Foundation in Zabrze PAKS) is another example of successful cooperation between clinicians and SUT scientists. Moreover, along with the Silesian Uni Med and PAKS clinics, telemonitoring and surveillance systems are being developed, understood as remote registration and monitoring of patient activity as well as supervision of safety at the place of residence, and prediction of health status (including nutritional status) of cardiac patients. The developed methods are also used in the hybrid support systems for sports rehabilitation (carried out with experts from the Academy of Physical Education in Katowice).
SUT scientists are also involved in the work on a non-invasive optoelectronic system for the diagnosis of neoplastic changes in human tissues in cooperation with scientists from Uni of Florida and French research institutes. Medical imaging includes postoperative images and biopsies of thick-needle tissue sections too. Developed together with pathologists from the International Immuno-Oncology Working Group, Brussels, McGill Uni and Fudan Uni, the innovative system of automated assessment of the sTIL immune response index based on such images will successfully support therapy planning, especially for breast cancer.
Scientists from SUT compiled bioinformatic tools for automated identification of tumour area and its heterogeneity based on metabolomics profiles obtained with mass spectrometry imaging techniques, and developed machine learning methods also allow the identification of cell subpopulations in transcriptomic studies of single cells (in collaboration with Yale Uni) or mass cytometry. The translational research conducted by researchers from SUT, which includes the modelling and prediction of cellular response to radio- and chemotherapy (along with CEA, France and PHE, UK) and the search for biomarkers of radio-sensitivity, are an essential element supporting modern personalized medicine in cancer. Research on diagnostic tests in the early stage of cancer (along with NIO and Gdańsk Uni Med) is an example of an effective combination of mathematical modelling methods, artificial intelligence algorithms and advanced knowledge in molecular biology.
Ewa Pietka is a Professor of Biomedical Engineering at the Faculty of Biomedical Engineering, Silesian University of Technology. Her academic achievements include: Standardization of digital radiography images in Picture Archiving and Communication System at UCLA , Development of computer-aided diagnostic in pediatric radiology and pulmonology in collaboration with UCLA, University of Southern California, and University of Geneva, Computer assisted photodynamic diagnosis and therapy in collaboration with the Medical University of Silesia, Image-guided systems in minimally invasive abdominal surgery, Image-guided breast biopsy system, with neoplastic lesions display, location of the biopsy needle and its tip - in collaboration with the Centre of Oncology, Branch in Gliwice, Objective measurement of the pain intensity during physiotherapeutic procedures - carried out within the framework of the Polish-German Cooperation in the area of "Digitization of Economy" with the University of Lübeck and industrial consortium partners: APA Sp z o.o., PL and the Institute of Experimental Psychophysiology GmbH, DE.
Ewa Majchrzak is a Professor at the Institute of Computational Mechanics and Engineering acting as the director of the Institute. Scientific activity of professor Ewa Majchrzak is involved in numerical modeling of physical processes, primarily heat and mass transfer problems. A large number of her publications and accomplished research projects concern the applications of heat transfer modeling in the domains of biological tissue subjected to the external or internal heat sources.