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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.

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.