Covers modeling and analyzing complex biological networks, focusing on metabolism and signaling, using techniques like flux balance analysis and kinetic modeling.
Explores the impact of machine learning in understanding human diseases, focusing on historical significance, natural products discovery, and challenges in designer drugs.
Explores personalized medicine, genetic variability, and drug response, emphasizing tailoring treatments based on individual genetic and metabolic profiles.