A deep-learning serial CT biomarker improves survival prediction in immunotherapy-treated NSCLC and outperforms RECIST. Find ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

This publication adds to a growing body of external evidence validating the technical rigor, performance, and real-world relevance of BostonGene's AI-driven approach. By evaluating algorithmic and ...

This article is authored by Prithvi Raj Banerjee, founder, MindGym Initiative and author of Mindful Thinking.

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

These findings are detailed in Integration of Artificial Intelligence in Food Processing Technologies, a detailed review that ...

You will be redirected to our submission process. Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Researchers introduced AdditiveGDL, a generative deep learning method that predicts local thermal distributions across metal ...