New Algorithms Could Transform Drug Trials by Predicting Side Effects
The algorithms have the potential to improve patient outcomes and reduce the need for new trials to reassess missed side effects during the first clinical …
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.
The algorithms have the potential to improve patient outcomes and reduce the need for new trials to reassess missed side effects during the first clinical …
The impact of clean, well-managed healthcare data on patient outcomes is more significant than you might
Realizing the full promise of digital twins may require integrating systems and data across entire organizational ecosystems.
Many industries are looking to 5G to help move data at lightning speeds from edge devices and networks to more centralized decision-making
The life sciences industry can optimize data insights to improve pharmacovigilance processes using AI, ML, and Natural Language
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