What Are the Challenges of Implementing Machine Learning in Cancer Research?
Despite the potential benefits, there are several challenges in implementing machine learning in cancer research. One major challenge is the need for large, high-quality datasets to train the algorithms. Data privacy concerns and the complexity of integrating data from different sources also pose significant hurdles. Additionally, the "black box" nature of some machine learning models, where the decision-making process is not easily interpretable, can limit their clinical adoption.
