Reverse engineering the human body and biology can help save lives by deciphering protein interactions and developing causal networks to understand disease pathways. Machine learning can combine data from over 50 databases on drugs, proteins, clinical trials, and more to generate networks that model human physiology and predict drug responses, biomarkers, and adverse events. This system has already helped develop new treatments and biomarkers while aiding pharmaceutical companies, and its continued use promises more personalized medicine tailored to individual pathologies and biology in the future.