machine learning algorithms Archives

Adaptive experiments: Machine learning can help scientific discovery

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Cheng Soon Ong develops statistical machine learning methods and applies machine learning-guided design to biology.

Machine learning can help scientists design experiments. Scientific discovery relies on experiments that build our understanding of natural phenomena, and traditionally has been based on trial and error. Depending on the goal, different machine learning strategies can be used for adaptive experiments: active learning, maximising information gain, Bayesian optimisation, bandit approaches, and reinforcement learning. Cheng Soon Ong, machine learning scientist […]

Computational methods of researching cancer treatments

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In this research article: Dr Haibe-Kains’ research focuses on the computational integration of high dimensional molecular data to analyse multiple facets of carcinogenesis.

Artificial Intelligence (AI) and machine learning algorithms have the potential to bring substantial advances in the fields of research exploring complex diseases and trying to identify effective treatments. Dr Benjamin Haibe-Kains, working at The Princess Margaret Cancer Centre in Toronto, has spent over a decade developing machine learning tools and databases that could help scientists gain a better understanding of […]