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Why Pharma Is Rethinking Its Data Integration Strategy

Article   Aug 21, 2018 | by Nimita Limaye, CEO, Nymro Clinical Consulting Services and Rohan Limaye, UMass Amherst

Why Pharma Is Rethinking Its Data Integration Strategy – the Criticality of Data Integration


Three Ways to Turn Life Science Suppliers into Partners


A growing number of life science businesses are turning to greater supply chain collaboration for benefits like accelerated time to market, improved quality, reduced risk and more rapid and widespread innovation. But while 68% of executives in this industry say active and meaningful engagement with suppliers is essential to success, far too many, over a third, struggle to implement it.


How Can Machine Learning Improve Surgery?


Machine learning modeling is one of the most eagerly adopted technologies across healthcare. An important technology in this area is robot-assisted surgery, where the hope is that AI’s rapid evolution will soon allow machine learning models to enhance current surgical practice. This article reviews the current and close future applications of machine learning in burn surgery and microsurgery.


Advanced Data Analytics in Pharma: Going Beyond Patterns to Understand the “Why”


New developments in pharmaceuticals have made new drugs and treatments available, enhancing options and quality of life for patients. Advanced data analytics solutions mean treatments are more effective and affordable, and less intrusive. However, these evolutions will mean major changes in how companies interact with patients and caregivers, and this will necessitate new capabilities for operations and supply chain.



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