In the context of cancer research, ML APIs can be leveraged in several ways:
Early Detection: ML models can analyze medical images like X-rays and MRIs to detect early signs of cancer. Predictive Modeling: These APIs can predict the likelihood of cancer recurrence based on patient data and treatment history. Personalized Treatment: ML algorithms can recommend personalized treatment plans by analyzing genetic data and historical treatment outcomes.
