Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).

A small study in Israel developed a machine learning model that achieved moderate to high accuracy in predicting romantic attraction and rejection in a simulated dating app scenario. The researchers ...

Many properties of the world's most advanced materials are beyond the reach of quantitative modeling. Understanding them also ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Tokyo, one of the world's most densely populated megacities, sits on a highly active seismic zone where the threat of major ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to cleaning ingredients (handling missing values, standardization) Model ...

New machine learning models developed by University of South Australia (UniSA) researchers could help clinicians identify when patients can successfully stop long-term antidepressant use.

Key TakeawaysResearchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered proteins with ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

An AI model just cracked the top 10 in a global prediction contest, signaling how machines are reshaping the future of ...

AI applications are a promising solution for PAD that may translate into earlier detection, customized risk assessment, and improved outcomes.