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 considerable interest among researchers. The debate around the use of machine ...

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 ...

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

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 ...

The Bachelor of Science in biomedical sciences curriculum offers two tracks: a professional track that focuses on comprehensive preparation for professional schools, including research, and a data ...

The Leibniz Institute for Food Systems Biology at the Technical University of Munich comprises a unique research profile at the interface of Food Chemistry & Biology, Chemosensors & Technology, and ...