This post discusses the intersection of machine learning and biology, emphasizing how machine learning techniques can be effectively applied to biological data. It highlights advancements in the field, such as predicting protein structures and understanding genetic sequences, which demonstrate the potential for machine learning to transform biological research. The author suggests that embracing machine learning can lead to innovative solutions for complex biological problems, encouraging researchers to utilize these technologies more. However, the comment mentioning a 'new fad' raises a critical perspective on the sustainability of this trend, suggesting that while machine learning's application in biology is promising, there may be challenges in its practical implementation and effectiveness in the long run.