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 ...

Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...

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

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

Current Genomics is now accepting submissions. This journal publishes high-impact research across genome science, including ...

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 ...

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 ...

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