Nuclear power plant upstart Oklo (NYSE: OKLO) is off to a slow start in 2026. Its shares are down more than 18% year to date compared to a decline of about 3% for the S&P 500. There are several ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...

This is a simple jupyter notebook for stock price prediction. As a model I've used the linear, ridge and lasso model. Analysis, a development of insights and a training of a prediction model for ...

Background: Preeclampsia is a severe hypertensive disorder with rising global prevalence. While machine learning (ML) models for predicting preeclampsia are increasingly published, existing evidence ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

Conclusions: Machine learning has been shown to effectively predict venous thromboembolism in patients. However, the high risk of bias identified in a majority of the included studies (18 out of 27), ...

This paper presents a machine learning–based nowcasting framework for estimating quarterly non-oil GDP growth in the Gulf Cooperation Council (GCC) countries. Leveraging machine learning models ...

Abstract: Ensuring the accuracy of stock price predictions is crucial for maintaining financial stability and making informed decisions. The prompt identification of stock market trends and the ...