Ruhit Sinha, Michael V. Rocco, Pirouz Daeihagh, Anne E. Staples
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Innovating dialysis through computational modelling of hollow-fibre haemodialysers
Haemodialyser technology has not advanced much in decades, despite its unresolved shortcomings. Sophisticated new computational tools such as high-fidelity surrogate in silico dialyser models could reduce the time and expense of exploring alternative designs, dialysis dose and operating conditions compared with the current gold standard in vitro studies.
期刊介绍：
Nature Reviews Nephrology aims to be the premier source of reviews and commentaries for the scientific communities it serves.
It strives to publish authoritative, accessible articles.
Articles are enhanced with clearly understandable figures, tables, and other display items.
Nature Reviews Nephrology publishes Research Highlights, News & Views, Comments, Reviews, Perspectives, and Consensus Statements.
The content is relevant to nephrologists and basic science researchers.
The broad scope of the journal ensures that the work reaches the widest possible audience.
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