The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Nowadays vast swathes of data are being generated in biological laboratories across the globe. These might emanate from genetic sequencing, metabolome analysis or similar. Advances such as these have ...

There seems to be a modern day gold rush as companies explore how to use machine learning in clinical decision support software. Unfortunately for libertarians, FDA will regulate some of that software ...

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have ...

Machine learning (ML) models have been increasingly used in clinical oncology for cancer diagnosis, outcome predictions, and informing oncological therapy planning. The early identification and prompt ...

Using machine learning and a large volume of data on genes and existing drugs, researchers identified a combination of ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

In the quest for sustainable and efficient water treatment solutions, a new study titled "Enhanced Machine Learning Prediction of Biochar Adsorption for Dyes: Parameter Optimization and Experimental ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...