Explores the impact of machine learning in understanding human diseases, focusing on historical significance, natural products discovery, and challenges in designer drugs.
Explores protein mass spectrometry, proteomics techniques, sample preparation, separation methods, quantitative workflows, bioinformatics, and applications in biology.
Covers protein mass spectrometry, proteomics fundamentals, ionization sources, analyzers, detectors, mass accuracy, resolution, and various ionization methods.
