So how exactly do startups handle the development of these matching algorithms and what can the average entrepreneur learn from these examples?

Researchers from the National Institutes of Health (NIH) have developed an artificial intelligence (AI) algorithm to help speed up the process of matching potential volunteers to relevant clinical ...

The multi-year agreement allows Genialis to leverage Tempus’ multimodal dataset to develop new RNA-based algorithms across cancer types.

Regenstrief Institute announced this week that some of its researchers have developed an eight-point framework designed to assess the validity and accuracy of algorithms to match patient medical ...

Researchers at Washington State University (WSU) in the US have developed an algorithm tailored to improve the accuracy of wearable health devices.

Researchers develop fastest possible flow algorithm Date: June 30, 2024 Source: ETH Zurich Summary: Computer scientists have written a network flow algorithm that computes almost as fast as is ...

Researchers with Mount Sinai Hospital and Yale University say they’re the first to identify specific blood biomarkers that can accurately identify long Covid—allowing ...

Biased algorithms are a key issue in AI, but researchers aim to address this through "fairness" algorithms.

Mathematicians have long sought to develop algorithms that can compare any two graphs. In practice, many algorithms always seem to work efficiently. But in theory, there is no guarantee.