CE-IVDR compliance deadline comes into effect, Diagnostics.ai launches the industry's first fully-transparent machine ...

A novel explainable machine learning model accurately differentiates essential tremor from cortical myoclonus using wearable ...

We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases ...

This MSc course gives you the opportunity to learn computer and data science skills, as well as introducing you to functional approaches to applied machine learning. This course has places available ...

CyberPowerPC India has introduced a new “Play Guarantee” campaign to create a transparent and gamer-first experience for ...

A recent Small review highlights advances in multiplex nanosensors for food safety, emphasizing real-time detection of contaminants through nanotechnology, machine learning, and IoT integration.

Abstract: The transformative potential of integrating Blockchain, Internet of Things and Machine Learning technologies in agriculture, enhances transparency, efficiency, and sustainability. Blockchain ...

Abstract: Over the past decades, numerous practical applications of machine learning techniques have shown the potential of AI-driven and data-driven approaches in a large number of computing fields.

By leveraging machine learning, we can provide a tool that helps policymakers and clinicians make more informed choices, ultimately improving the impact of genomic screening programs." Nina Gold ...

Researcher Arun Vivek Supramanian explores how big data and machine learning are revolutionizing medical analytics, improving diagnosis accuracy, treatment personalization, and operational efficiency.