Titlebook: Innovations in Nephrology; Breakthrough Technol Geraldo Bezerra da Silva Junior,Masaomi Nangaku Book 2022 The Editor(s) (if applicable) and

充满人

Book 2022erous advances that are currently integrated in our daily life, including artificial intelligence (A.I.), internet of things (IoT), genetic engineering, 3D-printing and robotics. The health care sector is one of the most impacted by these technologies of the so-called digital era. From the simple ad

枫树

缺陷

Innovations in Maintenance Dialysis Therapy,fits for health systems. This chapter intends to present an overview of innovations in hemodialysis and peritoneal dialysis and briefly discusses future perspectives in the field, such as portable and implantable devices as well as a revolutionary yet theoretical renal replacement therapy model.

漂泊

Dialysis for Business and Society: From a Shareholder to a Stakeholder Perspective in Dialysis Uniterapy itself, the mindset evolution in the management of dialysis units was certainly one of its most important innovations. In this chapter, we will discuss this change–through frameworks ranging from the shareholder to the stakeholder–and propose a theoretical model of the stakeholder mindset as applied to dialysis units.

饮料

Artificial Intelligence in Nephrology,den. Although the existing research and applied works have made certain contributions to more accurate prediction and better understanding of histologic pathology, there is a lot more work to be done and problems to solve..In this perspective, we will discuss the development of medical AI relevant to the practice of nephrology.

粘土

Kidney-on-a-Chip,t of nephron have been developed, issues remain in the selection of chip material, medium for co-culture, and cell sources. Kidney-on-a-chip technologies have the potential to replace in vivo experiments for disease modeling, drug screening, and ADME profile analysis during drug development.

Grandstand

Novel Drugs for Kidney Diseases Treatment,e been investigated, aiming to assess new possible therapies for different kidney diseases, such as DKD and non-diabetic kidney disease, CKD-related anemia, polycystic kidney disease (PKD), after kidney transplantation and renovascular hypertension.

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Prosaic

PathoSpotter: Computational Intelligence Applied to Nephropathology, images. In this context, this chapter aims at discussing some advances in computational nephropathology, contextualizing them in the scope of the PathoSpotter project. We also address current achievements and challenges, as well as dig in future prospects to the field.

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Mobile Health in Nephrology,s, including self-care behavior, self-management of symptoms and problems, interdialytic weight gain, and management of drugs. In this chapter we discuss the basic aspects of apps developed for CKD and present some examples of apps available on the virtual stores.