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OnePlus Nord 2 5G - test - Nowe technologie w INTERIA.PL

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Benefitfocus Platform for Health Plans Delivers Significant ROI over Three-Year Period


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CHARLESTON, S.C., April 16, 2021 /PRNewswire/  A commissioned Total Economic Impact study conducted by Forrester Consulting on behalf of Benefitfocus (NASDAQ: BNFT) concluded that the Benefitplace single platform solution improves data quality and automates processes across the ecosystem, allowing health plans to reduce costs by millions of dollars and improve operating flexibility to adapt to unexpected market trends and changing customer demands. Benefitfocus is an industry-leading benefits technology platform that simplifies benefits administration for health plans, employers and brokers.
 
The findings come from a commissioned study conducted by Forrester Consulting, one of the most influential research and advisory firms in the world, on behalf of Benefitfocus and published in March 2021, examining the benefits that health plans may realize by deploying Benefitplace, Benefitfocus single platform solution. To better ....

Total Economic Impact , Forrester Consulting , Net Promoter Scores , Model Framework , One Place , மொத்தம் பொருளாதார தாக்கம் , ஃபாரெஸ்டர் ஆலோசனை , நிகர ப்ரமோடர் மதிப்பெண்கள் , மாதிரி கட்டமைப்பு , ஒன்று இடம் ,

Identifying cells to better understand healthy and diseased behavior


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IMAGE: Georgia Tech researchers use a graphical model framework to uncover a better way to identify cells and understand neural activities in the brain.
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Credit: Christopher Moore, Georgia Tech
In researching the causes and potential treatments for degenerative conditions such as Alzheimer s or Parkinson s disease, neuroscientists frequently struggle to accurately identify cells needed to understand brain activity that gives rise to behavior changes such as declining memory or impaired balance and tremors.
A multidisciplinary team of Georgia Institute of Technology neuroscience researchers, borrowing from existing tools such as graphical models, have uncovered a better way to identify cells and understand the mechanisms of the diseases, potentially leading to better understanding, diagnosis, and treatment. ....

United States , Georgia Institute Of Technology , Yueyi Li , Dhavals Patel , Yun Zhang , Shivesh Chaudhary , Brain Science At Harvard University , Georgia Tech School Of Chemical , Department Of Organismic , National Institutes Of Health , National Science Foundation , Georgia Institute , National Institutes , National Science , Love Family Professor , Biomolecular Engineering , Georgia Tech , Cell Relationships , Evolutionary Biology , Brain Science , Sol Ah Lee , Model Framework , Automated Annotation , Cell Identities , Dense Cellular Images , Cell Biology ,