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 ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

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 ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

In an increasingly tech-driven world, specialization in bioinformatics will set graduate students in Tufts’ biology master’s ...

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 ...