Reading time: 2 minutes The algorithm development was led by physics undergraduate Jeffrey G. Yepez. The algorithm development, led by physics undergraduate Jeffrey G. Yepez, helps scientists figure ...

A new patient-specific algorithm uses two EEG channels and cepstrum analysis to predict epileptic seizures with high accuracy ...

Researchers have found a new approach to incorporating the larger web of relevant data for predictive modeling for individual and community health outcomes. In the U.S., the place where one was born, ...

NEW YORK--(BUSINESS WIRE)--Citi has launched a new suite of intelligent execution algorithms for global listed derivatives. These algorithms have been specifically engineered for the futures markets ...

Categorizing patients with cancer by their disease stage can be an important tool when conducting administrative claims-based studies. As claims databases frequently do not capture this information, ...

Clinicians share a common goal of doing what is best for our patients, and this obligation extends to critically evaluating the tools we adopt into our practice. Clinical algorithms, which we define ...

Financial burden caused by cancer treatment is associated with material loss, distress, and poorer outcomes. Financial resources exist to support patients but identification of need is difficult. We ...

Clinical trials are critical to drug development. However, they’re often slowed by inefficiencies, lengthy timelines, high costs and challenges in patient recruitment and data analysis. Artificial ...

Every few years, drug development goes through a moment where a new technology promises to change everything. Artificial intelligence is having that moment now. Unlike some previous waves of hype, ...

As software and algorithms become an increasingly pervasive part of our lives, there’s growing interest and concern on how they are affecting society, the economy, and politics. Yet, most social ...