VPH2020 Virtual Physiological Human – Conference and Award

The VHP2020 Conference, entitled “When models, methods & experiments meet the clinic”, gives an opportunity to present research related to the Virtual Physiological Human and more broadly to Computational Systems Biomedicine. It is a place to promote cooperation between specialists and experts in the industry. Thanks to special thematic rooms, participants can discuss various scientific…

Supercomputer Prometheus supports Sano in the fight against coronavirus

We are pleased to invite you to read the article about the Polish supercomputer called Prometheus: “Prometejskie nadzieje w czasie pandemii“ (Promethean hopes during a pandemic), published in the online magazine “Artificial Intelligence”. Prometheus, located in the Academic Computer Centre “Cyfronet” of the AGH University of Science and Technology in Krakow, supports Sano – Centre…

Everything that a cardiac surgeons and their patients need: from the heart to an artificial heart, from simulation to advisory systems, and from planning tools to surgery tools (Robin Heart)

Abstract The heart is still a challenge – cardiac failures, diagnostics, operations, rehabilitation – are associated with unacceptable risks: statistical for the population and personal risk for each of us. Risk occurs at every stage – from decisions made to the type of therapeutic actions taken by the doctor. Surgery is a specific type of…

Credibility of In Silico Medicine model

Abstract The use of physiology-based, patient-specific computer models is moving from research to the clinical use.  In Silico Medicine technologies are now used to support the medical decision about an individual treatment, as well as to evaluate the safety and efficacy of new medical products. But such mission-critical uses make indispensable to guarantee that the…

Personalized medicine in oncology

Abstract Cancer is one of the main causes of mortality. It is estimated that at some point in life one in three people will be affected by this disease. Although we have evidence of cancer as early as ancient times, we are still unable to provide effective and reliable treatments. In this short talk I…

Automatic classification of antinuclear antibodies in diagnosis of autoimmune diseases

Abstract Identification of antinuclear autoantibodies (ANAs) within HEp-2 cells images is a golden standard in diagnosis of autoimmune diseases. This process involves analysing slides through a microscope and classifying characteristic staining patterns indicating the presence of certain autoantibodies. If done manually, such classification is highly time consuming, prone to errors and requires well trained medical…