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Big(ger) Data is Better

In this contributed article, Fiona McNeill, Global Product Marketing Manager at SAS, describes how Big Data is changing lives. “The data isn’t different than what organizations had before, albeit some new sources are now accessible to many. The challenge is that there is a lot more of it, and it’s incoming at a greater pace. The enormous amount of data can make it time-consuming to compute a calculation or pull a report. Big data requires more horsepower and optimized analytics computing.”

Artificial Intelligence is Innovating Your Healthcare Needs in 2018

In this contributed article, freelance human Avery Phillips takes a look at how artificial intelligence (AI) is making significant inroads into healthcare innovation as we move into 2018. One of the biggest benefits is that healthcare providers can use this technology to help promote better lifestyle choices to their patients and others.

Dedicated Precision Medicine Solution is Key to Value-Based Success

In this special guest feature, Terry Macaleer, President at Orion Health U.S., discusses how precision medicine is an emerging approach to identifying precisely those treatments that will work for a given patient, based upon terabytes of the patient’s—and countless other patients’—genomic and other “-omic” data. He also highlights how the winning precision medicine solution will be provided by an agnostic health IT vendor, not an EMR vendor who isn’t open to third-party solutions working in conjunction with their EMR offerings.

CLEW Medical Unveils Its AI Predictive Platform, Leveraging Untapped Patient Data to Provide Actionable Tracking for Patients at Risk

CLEW Medical, formerly known as Intensix, is launching its AI predictive-analytics platform to prevent life threatening complications in all care settings, using real-time data and machine learning technology. Already proven in the ICU, CLEW’s platform provides medical staff and healthcare administrators with actionable clinical, operational and financial insights to streamline medical care.

Enabling Data-Driven Care Decisions with a 360-degree Patient View

In this special guest feature, Eric Sullivan, Senior Vice President, Innovation & Data Strategies at Inovalon, describes how data-driven platforms and patient-specific analytic insights drive meaningful impact in clinical and quality outcomes, utilization efficiency and financial performance for payers, providers, ACOs, pharma/life sciences, device manufacturers and patients.

BioSymetrics Launches Augusta™ to Revolutionize AI in Biomedicine

BioSymetrics, Inc., a technology company that aims to transform data analytics for the biomedical industry, announced the launch of its pre-processing and analytics platform, Augusta. Augusta is a proprietary technology that allows standardized processing and integration of multiple, diverse raw data types, facilitating rapid deployment of AI projects in precision medicine, drug discovery, and health data applications.

TriNetX Unveils Natural Language Processing to Improve Protocol Design and Accelerate Identification of Patients for Clinical Trials

TriNetX, the global health research network for healthcare organizations, biopharmaceutical companies, and Contract Research Organizations (CROs), announced the general availability of its Natural Language Processing (NLP) service.

Artificial Intelligence and the Move Towards Preventive Healthcare

In this special guest feature, Waqaas Al-Siddiq, Founder and CEO of Biotricity, discusses how AI’s ability to crunch Big Data will play a key role in the healthcare industry’s shift toward preventative care. A physicians’ ability to find the relevant data they need to make a diagnosis will be augmented by new AI enhanced technologies.

Infervision Launches AI Platform to Help Radiologists Diagnose Stroke Faster Using CT Brain Scans

Infervision, a tech company using deep learning and artificial intelligence to assist and improve medical image analysis, is introducing the first and only AI platform to help radiologists detect and diagnose stroke faster than ever, leading to patients getting lifesaving treatment when time is of the essence.

Intermedix Data Scientists Published for Health Care Machine Learning Research

Two of Intermedix’s leading data scientists, Danielle Baghernejad and Lihong Li, have been published in Biomedical Journal of Scientific & Technical Research and Advances in Biotechnology & Microbiology respectively for their pioneering research in machine learning.