An experimental study shows that already small-scale quantum computers can boost the performance of machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer ...

This consists of 15 biochemical tests, including serum phosphate. Our aim was to understand if abnormalities in serum phosphate could be predicted, using a machine learning algorithm (MLA) by other ...

Precise forecasting of water quality and river dis-charge is fundamental for sustainable water resource steward-ship, environmental protection, and public well-being. Conventional predictive ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

Kumar, V. and Gupta, A. (2021) Predicting Groundwater Quality Using Machine Learning Algorithms A Case Study in India. Environmental Monitoring and Assessment, 193, 78.

CHAI released a draft framework for assuring healthcare AI meets agreed-upon quality standards. The public will have 60 days to comment.

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.