الصفحة 1
الصفحة 1
Ocular Transporters in Ophthalmic Diseases and Drug Delivery
This exceptionally important new work represents recent discoveries and advancements in the study of ocular transporters and their roles in ocular physiology, pathology, and drug delivery. Transporters are found on the membranes of cells and play a key role in transmitting signals between cells. In Ocular Transporters in Ophthalmic Diseases and Drug Delivery, a panel of distinguished authors discusses all the latest developments in the study of ocular transporters. Focusing on the molecular characteristics, localization, and substrate specificities in various compartments of the eye, this volume discusses how transporters regulate the clarity of the cornea and lens, the movements of fluids across the ciliary epithelium, and the transport of nutrients across the retinal pigment epithelium. It also provides an in-depth look at how mutations or dysfunction of specific transporters can contribute to various disorders in the eye, including blindness, and provides readers with potential targets and strategies to allow safe passage of therapeutic drugs into the eye.
Handbook of nutrition and ophthalmology
The Handbook of Nutrition in Ophthalmology is the first general text on nutrition and eye health created for physicians, nutritionists, and researchers. Dr. Richard D. Semba provides important links between the epidemic of obesity and implications it has for eye disease and blindness. The volume addresses three broad themes throughout. The first is that a healthy diet as a major lifelong habit will likely have an impact on reducing a substantial portion of visual impairment and blindness. The second is that a historical perspective is essential to understanding current challenges in ophthalmology, medicine, and public health. The third theme is that many nutrients play a role in oxidative stress and inflammation, and this theory has emerged as a major underlying hypothesis in the pathogenesis of eye diseases.
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.
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).
