A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

Apple M5 Max raises memory bandwidth to 614 GB/s; up 13% over M4 Max, improving large-model loading and data-heavy workflows.

Abstract: Due to numerous breakthroughs in the domains of gas sensors and machine learning (ML) technology, electronic nose (EN) recently became an important instrument for the invasive-free diagnosis ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

A comprehensive healthcare AI application that leverages machine learning to predict diabetes risk based on medical parameters. Built with Flask and scikit-learn, featuring professional architecture ...

Abstract: It is estimated that Male Factors contribute 30-50% of infertility cases globally and there has been an increase in Male Infertility between the year 1990 and the year 2019. This makes the ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...

Background Early childhood development (ECD) lays the foundation for lifelong health, academic success and social well-being, yet over 250 million children in low- and middle-income countries are at ...

Welcome to the Car Price Prediction repository! This project is a machine learning-powered web application that predicts the price of used cars based on essential input features. You can find the ...