The life sciences industry can optimize data insights to improve pharmacovigilance processes using AI, ML, and Natural Language
How the healthcare industry uses real-time analytics, including to monitor patients, save lives, and enable staff location-management in medical facilities. Predictive medicine applications are also explored.
Forward-thinking medical device companies are digitally transforming their operations, using data to provide new services and enhance the product
AI applications in healthcare are wide-ranging from customized predictive care based on patient data to the automation of administrative processes.
AI is slowly entering the healthcare market, but without proper evaluations and assessment of solutions, many hospitals and clinicians will be burnt by new …
The post-pandemic “new normal” will see a proliferation of IoT-connected biosensors both in their traditional locations and in entirely new locations, such …
In the news this week: SAS offers tools to gauge the risks of reopening, Booz Allen Hamilton selected to support GSA and DoD joint AI center, and
As researchers attempt to future proof clinical trials against massive disruption, their infrastructure needs must embrace the new world of data.
It's crucial that companies be transparent with their employees about what they are monitoring and
AI shows great promise for the early detection of brain tumors, but it will require more data than any single medical center holds to reach its full
IoMT devices will create a sophisticated health-tech ecosystem that will pave the way for new technologies such as medical