The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

For example, a restaurant chain might train a conventional machine learning model using thousands of orders to predict how much of a particular ingredient should be purchased. While the model itself ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Pulmonary hypertension in CKD is frequently underdiagnosed due to nonspecific early symptoms and limited screening practices. A machine learning model using basic clinical data can predict PH risk, ...

In this tutorial, we explore LitServe, a lightweight and powerful serving framework that allows us to deploy machine learning models as APIs with minimal effort. We build and test multiple endpoints ...

A simple Flask application that can serve predictions machine learning model. Reads a pickled sklearn model into memory when the Flask app is started and returns predictions through the /predict ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...

1 Nursing Department, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China 2 Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine Alar Hospital, ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--C3 AI (NYSE: AI), the Enterprise AI application software company, was selected for the Constellation ShortList™ for Artificial Intelligence and Machine Learning ...