A research team has developed a new chemotherapeutic agent, LiPyDau, which shows remarkable efficacy against multiple tumor ...

A research team led by the Medical University of Vienna, the HUN-REN Research Centre for Natural Sciences and the Eötvös Loránd University in Budapest has developed a groundbreaking new ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Build a portfolio that earns the right to use a powerful general model where it matters and proves the case for small models where they win.

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...

Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression ...

Abstract: In this work, we used multiple machine learning regression models to forecast changes in sea level and temperature by doing a thorough examination of historical environmental data. The ...