A powerful new software platform is set to transform biomedical research by allowing scientists to conduct complex and customized data analyses without advanced programming skills. The web-based ...

Researchers at Rochester Institute of Technology developed new artificial intelligence techniques to extract and visualize information from standard-of-care biomedical data, providing a means for ...

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

This summer OpenAI released Code Interpreter, a plug-in for the popular ChatGPT tool that allows it to take in datasets, write and run Python code, and “create charts, edit files, perform math, etc.“ ...

In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...

Artificial intelligence is taking the world by storm, and its potential use cases are seemingly endless within the federal government, where agencies are looking for new ways to apply this rapidly ...

The Biomedical Engineering MS Concentration in Data Science provides an opportunity to develop a general foundation in data science and the opportunity to build skills in subfields of the discipline.

The Biomedical and Health Informatics PhD program prepares individuals to develop and apply informatics theories and tools to solve complex problems across the life sciences and health ecosystem. The ...

The Playbook Workflow Builder is a user-friendly platform that enables biomedical researchers to conduct complex data analyses without needing advanced programming skills, with the goal of ...