One trend CB Insights analysts are watching is how AI is helping patients engage with health systems before the diagnostic ...

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET ... forecasting, and anomaly detection. You can also consume both TensorFlow and ONNX models within ML.NET which makes ...

The eyes, often called the windows to the soul, have become a powerful tool for unlocking transformative health insights.

Abstract: Parkinson’s disease (PD) is a chronic neurological ... To that end, various machine learning (ML) and deep learning (DL) approaches have been explored for early detection. Meanwhile, ...

The Endemic Disease follow-up needs to include the following. Once the animal health and welfare review is complete, the next step is to submit a claim using the online platform and the summary from ...

In Canada, the risk of getting Ebola disease is very low. The viruses that can cause Ebola disease are naturally found in certain animals in Africa. Some animals become ill when infected, like monkeys ...

The project will reduce trans-boundary animal diseases (TAD), food safety and zoonotic disease risks and strengthen livestock value chains and COVID-19 responses through investments in infrastructure, ...

This project uses a hybrid YOLOv8-based SUNet model for real-time detection of coffee leaf diseases. It accurately classifies diseases like Brown Eye, Leaf Rust, Leaf Miner, and Red Spider Mite, ...

A guide for anyone deployed to areas where there is risk from infectious disease from human, animal, insect or parasite sources, including zoonoses. These controls can also apply to harmful ...