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How AI Is Helping Speed Drug Development

In this contributed article, Gunjan Bhardwaj, Founder and CEO of the Innoplexus, discusses how AI significantly can speed up drug development time, from synthesis to approval. The convergence of healthcare and technology is creating a lot of buzz, especially as the healthcare policy debates are in a gridlock amongst U.S. lawmakers. Fortunately, technology companies and healthcare experts are working together to innovate at breakneck speeds, regardless of policy challenges.

Zebra Medical Vision to Make AI in Healthcare Accessible & Affordable for All

Zebra Medical Vision, the leading deep learning imaging analytics company, is announcing AI1: a new suite that offers all its current and future algorithms to healthcare providers globally for $1 USD per scan. This is another step in the company’s quest to provide high quality, affordable care to the world’s population.

Medial EarlySign Machine Learning Algorithm Predicts Risk for Prediabetics Becoming Diabetic Within 1 year

Medial EarlySign, a developer of machine learning tools for data-driven medicine, announced the results of its clinical data study on identifying and stratifying prediabetic patients at high risk for progressing to diabetes within one year.

AMA Starts a Health Data Evolution for a New Era of Patient Care

A new collaborative initiative founded by the American Medical Association (AMA) announced it is working to unleash a new era of better, more effective patient care by introducing a data evolution for improving, organizing and sharing health care information.

Why Hospitals Need Big Data to Improve Patient Experience

In this special guest feature, Senem Guney, PhD, CPXP, Founder and Chief Experience Officer at NarrativeDx, discusses why hospitals need big data to improve patient experience. Hospital administrators seeking to provide excellent patient experiences need to understand responding to patients as a big data problem and arm themselves with the necessary technology solutions.

Proscia to Transform the Clinical Use of Digital Pathology in Commercial and Hospital Labs

Proscia Inc., a data solutions provider for digital pathology, announced the launch of a new product optimized for digital clinical workflows in anatomic pathology labs. Built from its award-winning software platform, Proscia’s new offering leverages machine learning and artificial intelligence (AI) techniques, leading the move towards precision medicine and computational pathology.

Oxford Research Validates EarlySign’s AI Platform for Identifying Risk of Colorectal Cancer

Medial EarlySign, a developer of machine learning tools for data-driven medicine, announced the results of new research with Oxford University. The study provides further validation for Medial EarlySign’s ColonFlagTM algorithm platform to identify individuals at risk of having colorectal cancer and support other approaches to early detection, including screening and active case finding.

Why Healthcare May Be the Hottest Industry Sector for Data Analysts in 2018

In this contributed article, freelance human Avery Phillips discusses how if you’re a data analyst in search of a secure industry on which to hang your hat, rather than heading to Silicon Valley to join (or begin) a startup, you might consider pursuing work with a local hospital or public health clinic.

Catching the Gorilla: Applying Machine Learning to Electronic Health Records

In this special guest feature, Ori Geva, Co-Founder and CEO of Medial EarlySign, discusses how the ue of machine learning can help create new opportunities for earlier intervention and delivery of improved, personalized care by allowing physicians and health systems to increase their scope of attention.

Sibyl Launches To Increase Utilization And Cut Impact of Costly Patient No-Shows

The founders of macro-eyes, a machine learning company that simplifies personalized patient care, announced the introduction of Sibyl, a predictive scheduling solution that cuts the financial and operational damage from patient No-Shows without relying on patient behavior change.