Sign up for our newsletter and get the latest big data news and analysis.

Why Technology is the Next Frontier in Mental Health

In this special guest feature, Kouris Kalligas, CEO and co-founder at Therachat, highlights how different data technologies, such as artificial intelligence, machine learning, digital journaling, data analytics and data visualization are being integrated into our everyday lives via smartphones and modernizing how mental health services are delivered.

Is Customized Healthcare a Near Term Reality?

In this special guest feature, Abdul Hamid Halabi, the global business development lead for healthcare and life sciences at NVIDIA, discusses how personalized or precision medicine is becoming a reality with the help of a machine learning method called deep learning.

A New Weapon in the Fight Against Opioid Addiction: Behavioral Analytics

In this special guest feature, David Hom, Chief Evangelist at SCIO Health Analytics®, supports his belief that sophisticated behavioral analytics is the key to uncovering patients who are likely to be or become addicted to prescription opioids.

Using Machine Learning with Health Data: The Challenges and Pitfalls

In this contributed article, Elad Ferber, CTO and Co-founder of Spry Health, points out that when considering health data, the level of required customization for machine learning algorithms is very high for 3 reasons: the inherent complexity of the human body, the accessibility and relevance of data sources, and integration into the existing healthcare system.

Proscia’s Artificial Intelligence to Transform Pathology Labs and Drive Their Digital Evolution

Proscia Inc., a software solutions provider for digital pathology, announced the introduction of its new concept: Software as a Lab.

3 Reasons How Natural Language Processing Can Help Healthcare Providers

In this special guest feature, Ravi Gopalan, Founder & Chief Technology Officer at Binary Fountain, discusses how healthcare providers can begin to understand and act on the increasing amount of data with patient feedback management solutions using healthcare-specific natural language processing (NLP).

How NLP Can Help Healthcare “Catch Up”

In this special guest feature, Simon Beaulah, Senior Director of Healthcare at Linguamatics, discusses how natural language processing (NLP) has become a crucial tool in healthcare and the life sciences as these sectors struggle to catch up to other industries and transform their big data into actionable data.

Medable Launches Cloud-Based Machine Learning Solution for Healthcare

MEDABLE Inc., a leading application and analytics platform for healthcare, announced Cerebrum, the first cloud-based machine learning solution created specifically for healthcare apps. Cerebrum leverages data gathering smartphones with a first-of-its-kind machine learning engine, resulting in health events becoming more easily predicted, such as warning an elderly relative when he is at greatest risk of a fall, or preventing an asthmatic child from triggering a life threatening episode.

Data Systems Strategies for Today’s Challenges

To address today’s challenges and come up with viable data systems strategies, pharmaceutical companies are looking outside the industry to leverage scientific and technical innovation in other markets.

Commercial Analytics and It’s Defining Role In Pharma Marketing

Pharma companies are working hard to build effective patient access programs and implement an effective commercial strategy around it. Expiring patents and competitive pressure is a real challenge and companies need to explore opportunities with the help of the vast amounts of data they own. Big Data and Analytics capabilities are helping companies define that strategy and execute a plan, which will help them succeed. Our friends over at Prescriber360 put together the infographic below containing facts and figures to emphasize the need of a well-planned analytics strategy.