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Calcium Signalling and Disease : Molecular Pathology of Calcium
This topic is a new entry in the area of cellular calcium signaling: yet, it now spans the entire area, with discoveries that cover both genetic and acquired pathologies, even offering glimpses in the direction of therapy.Cellular calcium homeostasis, and thus calcium signalling, is mainly regulated by membrane intrinsic proteins and calcium sensor proteins. Both classes may be involved in pathological processes that affect both human and animals, ranging from common and important diseases (e.g. migraine, diabetes, epilepsia, manic depression, infertility, various types of cancer, Alzheimer’s disease, muscular dystrophy) to rare genetic conditions (e.g., a number of genetic heart conditions, autoimmune retinopathies, night blindness, hereditary amyloid polyneuropathy, malignant hyperthermia, cerebellar ataxia, atherothrombotic disease).
Machine learning for biomedical application
Biomedicine is a multidisciplinary branch of medical science that consists of many scientific disciplines, e.g., biology, biotechnology, bioinformatics, and genetics; moreover, it covers various medical specialties. In recent years, this field of science has developed rapidly. This means that a large amount of data has been generated, due to (among other reasons) the processing, analysis, and recognition of a wide range of biomedical signals and images obtained through increasingly advanced medical imaging devices. The analysis of these data requires the use of advanced IT methods, which include those related to the use of artificial intelligence, and in particular machine learning. It is a summary of the Special Issue “Machine Learning for Biomedical Application”, briefly outlining selected applications of machine learning in the processing, analysis, and recognition of biomedical data, mostly regarding biosignals and medical images.
