GEN May 1, 2018
Daniel Faggella

Big Data Plus Machine Learning Equals Scientific Advancement

The biggest obstacle to seamless electronic health records (EHRs) is the lack of synchronicity between the medical profession and the companies that develop EHR systems.

  • More is better when it comes to Big Data and machine learning. This is particularly true in the fields of medicine and pharma. A report by Accenture estimates that by the year 2026, Big Data in conjunction with machine learning in medicine and pharma will be generating value at a prodigious rate: $150 billion/year.

    This figure reflects how the tools of artificial intelligence (AI) are expected to help doctors, patients, insurers, and overseers reach better decisions, optimize innovations, and improve research and clinical trial...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Big Data, Biotechnology, Precision Medicine, Technology
Google digs deeper into healthcare AI: 5 notes
JP Morgan Annual Healthcare Conference 2025: What are the key talking points likely to be?
How AI Has And Will Continue To Transform Healthcare
AI Translates Nature into New Medicines | StartUp Health Insights: Week of Nov 26, 2024
Building AI trust: The key role of explainability

Share This Article