An AI model applied to pathology slides accurately predicts immunotherapy response in patients with metastatic non-small cell ...

A new study published in the Journal of Neurology1 detailed the development of 2 machine learning–based tools that were able ...

Finally, during late spring and summer 2023, seagrass expanded rapidly. By July 2023, it covered more than 20% of the lagoon – levels not observed in more than a decade. Coverag ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

Forbes’ AI 50 list spotlights the most promising privately held companies applying artificial intelligence to solve ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

Artificial Intelligence (AI) has pervaded more and more businesses across different sectors. Data shows 88% of organizations ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Abstract: Negative emotions are linked to the onset of neurodegenerative diseases and dementia, yet they are often difficult to detect through observation. Physiological signals from wearable devices ...

Abstract: This paper explores human activity recognition (HAR) using machine learning models to classify activities based on sensor data with high precision. The study leverages the UCI HAR dataset, ...