What are the Limitations of Machine Learning in Biotechnology?

Despite its potential, machine learning has limitations in biotechnology. The accuracy of ML models largely depends on the quality and quantity of data, which can be a challenge in biological research. Additionally, the complexity of biological systems means that models may fail to capture all the nuances, leading to inaccurate predictions. Furthermore, the interpretability of ML models can be an issue, as they often act as "black boxes," making it difficult to understand how decisions are made.