The following is a summary of “A novel predictive method for URS and laser lithotripsy using machine learning and explainable ...

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

Chronic pain conditions, long-lasting medical conditions characterized by persistent pain in specific areas of the body, are ...

By using large bio-signal datasets, machine-learning algorithms are able to find clear relationships that apply to most people. To do this, we take a bio-signal and artificially create gaps of a ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

New advances in artificial intelligence have resulted in dozens of popular online therapy chatbots. But can they be as helpful as they claim to be?

"I expected that factors like gender, BMI, race or age would be important for our prediction model ... dietary supplements use, using more machine learning algorithms or relying on objective ...

The first step in reverse engineering is determining whether the algorithm follows a purely random model (such as RNG) or exhibits deterministic characteristics (such as PRNG). Analyzing sequences ...