Tools like Google Trends, Twitter (X), and other social media platforms surfaced as dominant data sources. Researchers ...

This article in the AI in Medicine series addresses the use of AI and machine-learning tools to identify and track disease outbreaks and monitor mitigation strategies.

Machine learning as good as humans' in cancer surveillance, study shows Date: April 21, 2016 Source: Indiana University Summary: Machine learning has come of age in public health reporting ...

Scientists explore the utility of machine learning methods in the field of neurodegenerative disease diagnosis, prognosis, and treatment effect prediction.

Stanford University researchers developed a machine learning-based method capable of diagnosing multiple diseases using B cell and T cell receptor sequences. The model, called Machine learning for ...

There are very few systems in place to keep watch for emerging variants of infectious diseases, apart from the established COVID and influenza surveillance programmes.

Face2Gene’s system uses a machine-learning algorithm, meaning it learns from every new face it scans. The more data it acquires through its use, scientists hope, the more accurate the diagnoses.

They have found that existing algorithms and open source machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports.