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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Dialysis machines by irvin calicut.jpg|250px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Berezin PLoSCompBio23 19-12.png|240px]]</div>
An '''[[end-stage renal disease facility]]''' ('''ESRD facility''', '''dialysis facility''', or '''dialysis center''') is a medical facility that operates to assist people with irreversible loss of kidney function (stage five), requiring a regular course of dialysis or a kidney transplant to survive. The facility may operate independently, as part of a [[hospital]]-based unit, or as a self-care unit that furnishes only self-dialysis services.
'''"[[Journal:Ten simple rules for managing laboratory information|Ten simple rules for managing laboratory information]]"'''


The U.S. [[Centers for Medicare and Medicaid Services]] (CMS) describes four types of ESRD facilities, including the renal transplantation center, for ESRD transplant patients; the renal dialysis center, a hospital unit for ESRD dialysis patients; a renal dialysis facility, a direct or stand-alone dialysis unit for ESRD patients; and a self-dialysis unit attached to one of the previous three, providing self-dialysis services. Patients undergoing dialysis at these facilities require two important documentation steps: the patient assessment and the patient plan of care. U.S. Federal regulation requires a comprehensive 13-point assessment, including current health status, laboratory profile, and nutritional status. ('''[[End-stage renal disease facility|Full article...]]''')<br />
[[Information]] is the cornerstone of [[research]], from experimental data/[[metadata]] and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging [[laboratory information management system]]s (LIMS) to transform this large information load into useful scientific findings. The development of [[mathematical model]]s that can predict the properties of biological systems is the holy grail of [[computational biology]]. Such models can be used to test biological hypotheses, guide the development of biomanufactured products, engineer new systems meeting user-defined specifications, and much more ... ('''[[Journal:Ten simple rules for managing laboratory information|Full article...]]''')<br />
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Latest revision as of 18:03, 10 June 2024

Fig2 Berezin PLoSCompBio23 19-12.png

"Ten simple rules for managing laboratory information"

Information is the cornerstone of research, from experimental data/metadata and computational processes to complex inventories of reagents and equipment. These 10 simple rules discuss best practices for leveraging laboratory information management systems (LIMS) to transform this large information load into useful scientific findings. The development of mathematical models that can predict the properties of biological systems is the holy grail of computational biology. Such models can be used to test biological hypotheses, guide the development of biomanufactured products, engineer new systems meeting user-defined specifications, and much more ... (Full article...)

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