1 Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China 2 Department of Maternal, Child and Adolescent Health, School of Public Health, Shenyang Medical ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...

Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...

1 Computer Science and Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 Business Analytics, International American University, California, USA. 3 ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...

Abstract: The movie recommendation system utilises an AI-powered method that improves collaborative filtering by employing the K-Nearest Neighbours (K-NN) algorithm. This system provides personalised ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

The ability to rapidly regress the kinetic parameters from cyclic voltammograms is important for many laboratory automation endeavors. Inspired by how expert electrochemists can rapidly interpret ...