Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

For decades, the process of drug discovery has been a prolonged, costly, and unpredictable endeavor — an effort that ...

Successful implementation requires modern healthcare infrastructure, including reliable electricity, high-speed internet ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...

GE HealthCare has won FDA Premarket Authorization (PMA) for its Pristina Recon DL technology for 3D mammography image reconstruction. GE HealthCare says it’s the first mammography technology that ...

The recent surge in demand for timely and accurate health information has highlighted the need for more advanced data analysis tools. To reduce the incidence of preventable medical errors, ...

Abstract: Distributed path planning for multiple unmanned aerial vehicles (UAVs) plays a significant role in data collection systems. However, insufficient collaboration among multiple UAVs and ...

Atrium Health has yet to publicly share data on the racial and ethnic makeup of the first class of students at the new medical school in Charlotte. Mecklenburg County commissioners chair Mark Jerrell ...

Objective: The aim of the present study proposed a deep learning framework for different influenza epidemic states based on Baidu index and the influenza-like-illness rate (ILI%). Methods: Official ...