SpectralWorks Announces American and Canadian Distributor
News Oct 19, 2009
SpectralWorks Limited has entered into a distribution agreement with FarHawk Marketing Services to distribute their software products including AnalyzerPro® and RemoteAnalyzer® as well as their bespoke software solutions for life sciences.
John Moncur, Director of SpectralWorks, says “We are very pleased to be associated with the FarHawk Marketing Services and Tim Hawkins brings over 30 years experience in the analytical instrument industry, with ventures in chromatography, spectroscopy, hardware, software, and product management.”
Farhawk Marketing Services is a North American distributor of mass spectrometry products, with offices in Ontario, Canada and New York State, USA. Tim Hawkins, principal owner of FarHawk Marketing Services commented: “We believe that SpectralWorks products such as the AnalyzerPro mass spectrometry data mining software and the RemoteAnalyzer open access laboratory software will contribute immensely to improving productivity in busy mass spec labs across Canada.”
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