ATL Webcast to Address Considerations in Selecting a Laboratory Information Management System (LIMS)
News Feb 07, 2014
Accelerated Technology Laboratories, Inc. (ATL) will host the second in a series of complimentary webcasts on Wednesday, February 19, 2014, to share information on Considerations in Selecting a LIMS. This informative webinar will feature key points to consider in the selection of a LIMS, and offers attendees a complimentary copy of ATL's LIMS Roadmap to Success Guide, which provides helpful suggestions, from LIMS selection through deployment.
Data automation will help organizations maximize resources and strengthen overall performance by streamlining operations. Organizations are increasingly required to improve reporting and audit trails, along with efficiency, to counter a decrease in resources. Implementing a LIMS will enhance data quality and reduce transcription errors with instrument integration, provide for charting of historical data, boost competitive advantage and assist in meeting regulatory compliance (FDA, cGMP, EPA, SQF etc.) goals. Added benefits of investing in a LIMS include standardization across organizational spectrums, an increase in resource utilization efficiency and higher profitability.
Recommended attendees include laboratory owners, directors and managers, and quality managers and directors in the analytical, food & beverage, manufacturing (product/material testing), agriculture, energy, environmental, water/wastewater, life science, pharmaceutical, biotechnology, and public health sectors.
DATE: Wednesday, February 19, 2014
TIME: 1:00PM-1:30PM US Eastern Time
12:00PM - 12:30PM US Central Time
11:00AM - 11:30PM US Mountain Time
10:00AM - 10:30AM US Pacific Time
Algorithm Speeds Up Medical Image Analysis 1000 TimesNews
Medical image registration is a common technique that involves overlaying two images, such as magnetic resonance imaging (MRI) scans, to compare and analyze anatomical differences in great detail. Researchers have described a machine-learning algorithm that can register brain scans and other 3-D images more than 1,000 times more quickly using novel learning techniques.
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.
Towards Personalized Medicine: One Type of Data is Not EnoughNews
To understand the biology of diseased organs researchers use different types of molecular data. One of the biggest computational challenges at the moment is integrating these multiple data types. A new computational method jointly analyses different types of molecular data and disentangles the sources of disease variability to guide personalized treatment.READ MORE