Explores evaluation protocols in machine learning, including recall, precision, accuracy, and specificity, with real-world examples like COVID-19 testing.
Explores the EXSCALATE4COV project, focusing on computational drug discovery for COVID-19 treatments and the collaboration between academia and industry.
Explores the sensitivity of MRI and ways to enhance it through magnetic field adjustments and different field strengths for various imaging applications.
Explores the distinction between association and causation in statistical analysis, highlighting the limitations of association in inferring causation.
