

Quantum computing has spurred the development of new breakthroughs in life sciences from using machine learning methods to diagnose illnesses sooner to identifying materials to make more efficient devices.
Quantum computing has spurred the development of new breakthroughs in life sciences from using machine learning methods to diagnose illnesses sooner to identifying materials to make more efficient devices.
Critical care hasn’t had many breakthroughs in recent years and in order to change that, I believe we need to put more of an emphasis on integrating technology—specifically artificial intelligence (AI) —into the field.
The greatest challenge faced is an understanding of the intent of the written regulations and applying them correctly.
Physicians are looking for better ways to treat patients with congestive heart failure. This includes the integration of remote monitoring and novel technologies.
The adoption of this manufacturing process in healthcare saw a tremendous uptick in 2020.
How artificial intelligence and automation play an important role in future-proofing networks.
For pharmaceutical and medical device manufacturers, computerized systems validation is vital. The following are three areas businesses must fine tune to ensure computerized labeling systems meet the stipulations of the new GxP regulations.
The wireless network serves as the backbone supporting patient care in every department of a healthcare facility. It is crucial to optimize and future-proof WiFi networks.
The exemption reduces the regulatory burden on the medical device industry—including the time and costs involved in preparing, submitting and responding to requests for additional information.
A return to normalcy requires us to address the limits of current testing approaches and broadly deploy reliable screening tools that facilitate early detection and encourage more focused testing of those at high-risk of spreading the coronavirus.