life sciences
AI Framework DIMON Cracks Complex Equations at Supercomputer Speed—No HPC Required
Researchers at Johns Hopkins University have created a new AI framework that can quickly predict solutions to partial differential equations (PDEs) in scientific and engineering research. Diffeomorphic Mapping Operator ...Full Article
AI Trust Remains an Issue in the Life Sciences
The rise of AI – machine and deep learning – in life sciences has stirred the same excitement and skepticism as in other fields of scientific research. AI is ...Full Article
Microsoft, Novartis Team on AI-based Therapies
Swiss pharmaceutical giant Novartis is teaming with Microsoft on a medical AI effort aimed at developing new data-driven techniques for drug discovery and development of specific therapies. The multi-year ...Full Article
An Rx for Healthcare: AI in Systems Medicine Sponsored Content by Dell EMC | Intel
In a workshop at Cardiff University in Wales, 15 expert speakers showcased some of the ways that machine learning applications and computational methods are driving advances in systems medicine. ...Full Article
GPU-based Deep Learning Enhances Drug Discovery Says Startup
Sifting through the avalanche of life sciences (LS) data for insight is an interesting and important challenge. Many approaches are used with varying degrees of success. Recently, improved hardware ...Full Article
Object-based Storage and Cloud in the Life Sciences Sponsored Content by EMC
Life sciences organizations must routinely manage and provide access to very large datasets. The problem is the volumes of data just keep going up. This is placing new demands ...Full Article
Infrastructure Issues when Taking Genomic Information into Clinical Applications Sponsored Content by EMC
For years, many aspects of life sciences work required the fast analysis of large datasets. And to accomplish this, most organizations installed high performance computer and storage infrastructures. However, ...Full Article
UK Using Cognitive Computing in Personalized Medicine Push
As the pharmaceutical industry moves from the era of “blockbuster” drug discovery (developing a single drug that targets large numbers of people with a particular disease) to the era ...Full Article
