AI and Machine Learning
AI is the new electricity. It will transform every aspect of our lives. The achievement of AlphaGo and AlphaFold are just two notable examples. A branch of AI, machine learning, has also transformed the way how mammograms, pathology slides are examined in clinical practice. Various deep neural network algorithms, Boltzmann machines, and generative models have also been applied to extract meaningful insights in complex medical and biological datasets, or to create de-novo genomic sequences for gene therapy applications (Fig. 1). Combining synthetic biology with bioinformatics and machine learning enables us to identify ideal targetable disease signatures, explore a vast circuit design space, and reliably predict circuit performance. We envision that by combining the best of the three domains, we will have the capacity to create breakthrough impacts in genetic engineering.