Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

To combat viruses, bacteria and other pathogens, synthetic biology offers new technological approaches whose performance is being validated in experiments. Researchers applied data integration and ...

Researchers explain that these insights have important implications, if validated in further research, as challenges with early detection of dilated cardiomyopathy complicate myasthenia gravis ...

Yuval Kluger, who works in the broad fields of bioinformatics, machine learning, and applied mathematics to develop new approaches for analyzing large biological data sets, was recently appointed the ...

This seminar series is developed and sponsored by the UAB Department of Biomedical Informatics and Data Science (DBIDS). It educates individuals on research innovations in biomedical informatics. The ...

Bioinformaticians have been utilizing machine learning for years. However, the introduction of powerful and easily accessible generative AI tools is a new horizon. Learning how to use these tools to ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.