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drug discovery

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By: MarkLogic     Published Date: Mar 29, 2018
It’s your golden opportunity: Rapidly integrate and harmonize data silos. Enhance drug discovery. Achieve faster time to insight. Get to market faster — all with less cost than you think. Explore how Life Sciences organizations can accelerate Real World Evidence (RWE) in a comprehensive and cost efficient manner. Download this white paper to learn about challenges, solutions and most importantly — how to equip your organization for success.
Tags : manufacturers, organizations, integration, optimization, data, quality
     MarkLogic
By: Netezza IBM US     Published Date: May 09, 2012
With the amount of complex biological data increasing exponentially, the need intensifies for more insightful analysis on developmental drugs, their effects on humans and inter-drug relationships.
Tags : pharmaceutical, drug, ibm, analytics
     Netezza IBM US
By: IBM Watson Health     Published Date: Feb 28, 2017
IBM Watson Health aims to transform the drug development process for life sciences – from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
Tags : ibm, watson, watson health, drug discovery
     IBM Watson Health
By: IBM     Published Date: Dec 15, 2016
BM Watson Health aims to transform the drug development process for life sciences – from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
Tags : ibm, watson, watson health, drug discovery
     IBM
By: Inside HPC Media LLC     Published Date: Sep 24, 2019
Artificial Intelligence (AI) is rapidly becoming an essential business and research tool, providing valuable new insights into corporate data and delivering those insights with high velocity and accuracy. Enterprises, universities, and government organizations are investing tremendous resources to develop a wide array of future-focused Deep Learning (DL) and Machine Learning (ML) solutions such as: • Autonomous vehicles that circulate unassisted in our cities • Real-time fraud detection that protects shopping and internet transactions • Natural language translators that remove language barriers • Augmented reality that delivers a far richer entertainment experience • Accelerated drug discovery • Fully enabled personalized medicine and remote health diagnostics
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     Inside HPC Media LLC
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