Biomedical Data Science: A Focus on Signaling – Hardcover

This volume comprises 3 parts–Part I introduces the foundations of biomedical data science for imaging and signals. It focuses on establishing sound analytical workflows, including data organisation, meaningful representation of signals and images, and the application of machine learning methods to uncover patterns and insights. Part II reviews advances in AI for biomedical imaging and signal analysis. It highlights modern approaches designed to work effectively with limited or complex data, incorporate existing scientific knowledge, and combine information from multiple data sources. Part III connects methodological development with clinical and practical considerations. It addresses challenges that arise in real-world use, including model transparency, safety, and fairness, aiming to support responsible and effective deployment in healthcare.

The book provides a structured overview of biomedical data science, from foundational concepts to advanced AI techniques and practical application, with a clear focus on imaging and biomedical signalling.