collecting a large volume of expectations from PubMed and DrugBank database to embedding the entity as the vector representation. The results showed that 41 repurposable drugs were predicted ...

Image processing is the process of converting an image to a digital format and then performing various operations on it to gather useful information. Artificial Intelligence (AI) and Machine Learning ...

Prerequisites An understanding of the fundamentals of machine learning and image processing. Students will be expected to read papers that utilize advanced machine learning and image processing ...

Various Machine Learning models such as Linear Regression, Logistic Regression, Random Forests and Deep Learning will be introduced to fit and classify biomedical data. Unsupervised learning ...

The background illustrates a transition from a histopathology image to AI-detected cells ... This issue highlights advances in applications of machine learning for diagnosing disease and for ...

This focus area includes courses in theory, architectures, implementations, and specific applications. Machine learning extracts information from data based on supervised and unsupervised learning ...

Here are 10 applications of machine learning in business that are being used to solve problems and deliver tangible business benefits: ...

Recent developments in Machine Learning (ML) and Artificial Intelligence (AI) have revolutionized how we approach science and engineering. ML and AI have accelerated the discovery of new materials for ...