Researchers are exploring the use of machine learning to design nanoparticles for precision cancer drug delivery. This approach is being investigated for its potential to improve diagnosis and treatment of various types of cancer, including bladder cancer, and to overcome therapeutic resistance. The integration of machine learning with other technologies, such as physics-based modeling and stimuli-responsive biomaterials, is also being studied for its potential to enhance cancer treatment.