Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

BrainIAC is a foundation AI model for brain MRIs that spots dementia risk, tumors, and aging better than old tech by analyzing scans like a human expert.

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable ...

Struggling to memorise and stay consistent? From hagwons and night self-study to study cafés, ranking culture, and group chanting, these five Korean study habits sharpen focus, boost memory, and build ...

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

Somerville, Mass.-based Mass General Brigham has developed a new AI foundation model that can extract disease risk signals from routine brain MRIs. The model was trained on nearly 49,000 brain MRI ...

Head and neck cancer (HNC) is one of the most common malignancies worldwide, with high morbidity and mortality rates.

Mass General Brigham investigators have developed a robust new artificial intelligence (AI) foundation model that is capable of analyzing brain MRI ...