"These studies demonstrate that by using machine learning and blood tests, we could develop a highly reliable tool that can help predict who will respond well to CAR T cell therapy," said Marcel ...

To fully leverage low-cost unlabeled historical measurement data, this article proposes a Gaussian process (GP)-regularized semi-supervised learning method for DSSE models, aiming at achieving ...

To address this issue, this study aims to develop an alternative method to monitor groundwater levels and estimate specific yields by applying ... Moreover, this study demonstrates the application of ...

Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic ...

A model was developed that utilises a recurrent neural network autoencoder and a synthetic control-based approach to estimate patients’ ICU length ... reduce the excessive use of antibiotics, and ...

SCAAML (Side Channel Attacks Assisted with Machine Learning) is a deep learning framework dedicated to side-channel attacks. It is written in python ... Attacks. Code, dataset and models used in our ...