Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...

A new algorithm can identify the most predictive data points that a tipping point is near. Whether you're trying to predict a climate catastrophe or mental health crisis, mathematics tells us to look ...

Whether you’re trying to predict a climate catastrophe or mental health crisis, mathematics tells us to look for fluctuations. Changes in data, from wildlife population to anxiety levels, can be an ...

LaV's creators claim it's the first practical algorithm that can replace current-day encryption as the industry inches closer to creating a large-scale quantum computer. When you purchase through ...

Researchers using an innovative astrodynamics algorithm have uncovered over 100 asteroids that had gone undetected in archived images of the sky. Asteroids are rocky objects left over from the ...

Moving data science into production has quite a few similarities to deploying an application. But there are key differences you shouldn’t overlook. Agile programming is the most-used methodology that ...

Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. You'll gain a ...