Drug repurposing can be approached in several ways:
Computational Methods: Bioinformatics and machine learning algorithms can be used to predict potential new uses for existing drugs by analyzing large datasets of molecular and clinical information. Experimental Methods: High-throughput screening can identify off-target effects of existing drugs that may be beneficial for cancer treatment. Clinical Observations: Anecdotal evidence and real-world clinical data can sometimes reveal unexpected benefits of drugs in cancer patients.
