Limitations of use of machine learning/deep learning in drug development
Many branches of the industry are joining the hype around using deep neural networks or complex machine learning approaches, eg gradient boosting machines, random forests. However, I am sceptical that these “black box” algorithms will make major contributions to drug development, since the problems in clinical trials seems conceptually different from, eg image or speech … Continue reading Limitations of use of machine learning/deep learning in drug development
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