In a recently accepted manuscript titled “Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data”, scientists from Insilico Medicine, Inc located at the Emerging Technology Centers at Johns Hopkins University in collaboration with Datalytic Solutions and Mind Research Network presented a novel approach applying deep neural networks (DNNs) to predict pharmacologic properties of many drugs.
Accenture (NYSE: ACN) has launched Predictive Health Intelligence, a comprehensive set of analytics solutions to help global life sciences companies determine the precise combination of treatments and services that can lead to better patient, provider, and economic outcomes.
When Stanislav Dusko Ehrlich – a world expert in microbiology and a pioneer of metagenomics – and his team set out to create their next generation biotech research platform, they needed a technology solution to support their stringent capacity and performance requirements for big data analytics.
Scientific research in the life sciences is often akin to searching for needles in haystacks. Finding the one protein, chemical, or genome that behaves or responds in the way the scientist is looking for is the key to the discovery process. For decades, high performance computing (HPC) systems have accelerated this process, often by helping to identify and eliminate in feasible targets sooner.
“Datameer is all about providing a self-service, end-to-end experience for big data analytics on Hadoop. From data integration to analytics to visualization, we are wizard-led, point-and-click. Most recently we announced our Smart Analytics module, which allows business users to use data mining algorithms through a drag and drop UI. These new capabilities complement what data scientists are doing and enable business analysts to take advantage of advanced algorithms without involving IT.”
Leading researchers in data science and genomics are recommending strategies to help genomic scientists better manage, share, analyze and archive massive research and clinical data sets in an effort to ensure that the big data explosion results in better health outcomes and faster research discoveries.
Challenge to be first in a series to crowdsource Alzheimer’s data for new disease insights .
The IP & Science Business of Thomson Reuters has announced a strategic initiative with NuMedii. The companies will leverage high-quality data, knowledge and predictive technologies to identify therapeutic candidates with the greatest probability for clinical success.
Can Big Data be used to foster serendipity? That’s the premise of an award-winning paper in the 2013 Semantic Web Challenge. Entitled “Fostering Serendipity through Big Linked Data” the paper was written by Muhammad Saleem, Maulik R. Kamdar, Aftab Iqbal, Shanmukha Sampath, Helena F. Deus and Axel-Cyrille Ngonga Ngomo. The amount of bio-medical data available […]
In this video, Steve Forbes hosts Sir Andrew Witty from GlaxoSmithKline in a discussion on how data and data sharing is having a profound impact on people’s health around the world. Traditionally, big pharma kept their data and results under lock and key. Now, with a global population impatient to find answers and cures, the industry is working together to affect change.