Identifying the progression stages of Alzheimer’s disease (AD) can be considered as an imbalanced multi-class classification problem in machine learning. It is challenging due to the class imbalance ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

GREmLN focuses on the “molecular logic” that defines how genes interact and influence each other. This illustration highlights how the model uniquely captures gene interaction and the influence of ...

Federated Learning has emerged as a decentralized method for training machine learning models using distributed data sources. It ensures privacy by allowing clients to collaboratively learn a shared ...