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

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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Fig1 Navale F1000Research2020 8.gif|240px]]</div>
<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Tab1 Montoya FrontPharm2020 11.jpg|240px]]</div>
'''"[[Journal:Development of an informatics system for accelerating biomedical research|Development of an informatics system for accelerating biomedical research]]"'''
'''"[[Journal:Cannabis contaminants limit pharmacological use of cannabidiol|Cannabis contaminants limit pharmacological use of cannabidiol]]"'''


The Biomedical Research Informatics Computing System (BRICS) was developed to support multiple disease-focused research programs. Seven service modules are integrated together to provide a collaborative and extensible web-based environment. The modules—Data Dictionary, Account Management, Query Tool, Protocol and Form Research Management System, Meta Study, Data Repository, and Globally Unique Identifier—facilitate the management of research protocols, including the submission, processing, curation, access, and storage of clinical, imaging, and derived [[genomics]] data within the associated data repositories. Multiple instances of BRICS are deployed to support various biomedical research communities focused on accelerating discoveries for rare diseases, traumatic brain injuries, Parkinson’s disease, inherited eye diseases, and symptom science research. No personally identifiable [[information]] is stored within the data repositories. Digital object identifiers (DOIs) are associated with the research studies. ('''[[Journal:Development of an informatics system for accelerating biomedical research|Full article...]]''')<br />
For nearly a century, [[wikipedia:Cannabis|cannabis]] has been stigmatized and [[wikipedia:Legality of cannabis|criminalized]] across the globe, but in recent years, there has been a growing interest in cannabis due to the therapeutic potential of [[wikipedia:Cannabinoid#Phytocannabinoids|phytocannabinoids]]. With this emerging interest in cannabis, concerns have arisen about the possible [[wikipedia:Contamination|contaminations]] of [[wikipedia:Hemp|hemp]] with [[wikipedia:Pesticide|pesticides]], [[wikipedia:Heavy metals|heavy metals]], microbial [[wikipedia:Pathogen|pathogens]], and [[wikipedia:Carcinogen|carcinogenic]] compounds during the [[wikipedia:Cannabis cultivation|cultivation]], manufacturing, and packaging processes. This is of particular concern for those turning to cannabis for [[wikipedia:Cannabis (drug)|medicinal purposes]], especially those with compromised immune systems. This review aims to provide types of contaminants and examples of cannabis contamination using case studies that elucidate the medical consequences consumers risk when using adulterated cannabis products. ('''[[Journal:Cannabis contaminants limit pharmacological use of cannabidiol|Full article...]]''')<br />
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Revision as of 17:57, 21 September 2021

Tab1 Montoya FrontPharm2020 11.jpg

"Cannabis contaminants limit pharmacological use of cannabidiol"

For nearly a century, cannabis has been stigmatized and criminalized across the globe, but in recent years, there has been a growing interest in cannabis due to the therapeutic potential of phytocannabinoids. With this emerging interest in cannabis, concerns have arisen about the possible contaminations of hemp with pesticides, heavy metals, microbial pathogens, and carcinogenic compounds during the cultivation, manufacturing, and packaging processes. This is of particular concern for those turning to cannabis for medicinal purposes, especially those with compromised immune systems. This review aims to provide types of contaminants and examples of cannabis contamination using case studies that elucidate the medical consequences consumers risk when using adulterated cannabis products. (Full article...)

Recently featured:

Development of an informatics system for accelerating biomedical research
Mini-review of laboratory operations in biobanking: Building biobanking resources for translational research
Extending an open-source tool to measure data quality: Case report on Observational Health Data Science and Informatics (OHDSI)