Difference between revisions of "Template:Article of the week"

From LIMSWiki
Jump to navigationJump to search
m (Updated article of the week text.)
(Updated article of the week text)
 
(477 intermediate revisions by the same user not shown)
Line 1: Line 1:
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Martin Memorial Medical Center 001.JPG|200px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig2 Berezin PLoSCompBio23 19-12.png|240px]]</div>
An '''[[ambulatory surgery center]]''' ('''ASC''') is a health care facility where surgical procedures not requiring [[Hospital|hospitalization]] are performed, with an expected duration of services less than 24 hours following admission. Such surgery is commonly less complicated than that requiring hospitalization. Avoiding hospitalization can result in cost savings to the party responsible for paying for the patient's health care. The ASC may also be known as an outpatient surgery center, same day surgery center, or surgicenter.
'''"[[Journal:Ten simple rules for managing laboratory information|Ten simple rules for managing laboratory information]]"'''


An ASC specializes in providing surgical procedures, including certain pain management and diagnostic (e.g., colonoscopy) services in an outpatient setting. In simple terms, ASC-qualified procedures can be considered procedures that are more intensive than those done in the average doctor's office but not so intensive as to require a hospital stay. ('''[[Ambulatory surgery center|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 />
<br />
 
''Recently featured'': [[Data center]], [[Carrier cloud]], [[Forest informatics]]
''Recently featured'':
{{flowlist |
* [[Journal:Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology|Hierarchical AI enables global interpretation of culture plates in the era of digital microbiology]]
* [[Journal:Critical analysis of the impact of AI on the patient–physician relationship: A multi-stakeholder qualitative study|Critical analysis of the impact of AI on the patient–physician relationship: A multi-stakeholder qualitative study]]
* [[Journal:Judgements of research co-created by generative AI: Experimental evidence|Judgements of research co-created by generative AI: Experimental evidence]]
}}

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...)

Recently featured:

Retrieved from "https://www.limswiki.org/index.php?title=Template:Article_of_the_week&oldid=64398"