The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Pairs Trading Strategy with Machine Learning (KNN) This project implements a pairs trading strategy integrated with machine learning using the K-Nearest Neighbors (KNN) algorithm. Developed as part of ...

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 ...

🐦 Tweet Classification with Machine Learning This project focuses on classifying tweets using various supervised machine learning algorithms. It leverages natural language processing (NLP) techniques ...

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 ...

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

In a new article, researchers have studied the impact of a popular machine-learning pricing algorithm on the U.S. housing market. The study found that overall, the algorithm benefited the market.