The 11th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2022)

Abstract: Rapid development of machine learning and artificial intelligence in recent years has led to the development of fast, sensitive and accurate biosensors in the field of experimental physiology and pathology. Some of the new and innovative technologies can be successfully used to detect and identify discrete structural and functional changes in nuclear chromatin. It is possible that certain artificial intelligence algorithms can be trained to recognize early changes associated with programmed cell death, oxidative stress or some other aspects of DNA damage. Approaches based on random forest, support vector machine, logistic regression and principal component analysis may also be used to detect and quantify certain aspects of cellular senescence. Hereby we present our recent research on the application of machine learning in experimental physiology and pathophysiology. We particularly focus on computational approaches based on fractal analysis, gray level co-occurrence matrix analysis and discrete wavelet transform. We present the recent findings indicating that these innovative computational strategies can be applied for measurement of changes in chromatin distribution after induction of cell damage by exposure to different chemical agents.
Keywords: Artificial intelligence, Machine learning, Physiology, Pathophysiology, Chromatin

Acknowledgements:
This research was supported by the Science Fund of the Republic of Serbia, grant No. 7739645 “Automated sensing system based on fractal, textural and wavelet computational methods for detection of low-level cellular damage”, SensoFracTW.

Biography: Prof. Igor Pantić is an experienced researcher ranked among the top 2% of the most influential world scientists by Stanford University in 2021. He holds the rank of Associate Professor at the University of Belgrade, Faculty of Medicine (UBFM), and is currently employed at the Department of Medical Physiology. From 2017, he is also an Affiliated professor of the University of Haifa, Israel and from 2022 a Visiting Associate Professor at the Ben-Gurion University of the Negev, Faculty of Health Sciences, Department of Physiology and Cell Biology. Prof. Pantić is a data scientist with interest in the fields of machine learning and artificial intelligence and their applications in medicine. He is the Head of the Laboratory for cellular physiology at the UBFM and the author of numerous research articles in prestigious international scientific journals in the fields of molecular medicine, computational biology and neurosciences.