machine learning

Machine Learning Models for the Development of Antibodies

Increasing rates of opioid-related overdose have been identified globally. Treatment for opioid use disorders (OUD) includes medications for opioid use disorder (MOUD) alongside behavioral support. In this study we use statistical analysis and machine learning to show that the Breaking Free Online program may reduce opioid use and improve biopsychosocial functioning in individuals with OUD. Link to paper

Christopher Yau has been awarded a 5-year Turing AI Acceleration Fellowship. The Turing AI Acceleration Fellowships are part of the government’s AI sector deal investment in Turing AI fellowships, recommended by the independent 2017 UK AI Review, whose report ‘Growing the artificial intelligence industry in the UK,’ was co-authored by Reguis Professor of Computer Science at Southampton, Dame Wendy Hall, and Jérôme Pesenti, now Vice President of AI at Facebook.

AI for Cancer

The CONSORT-AI and SPIRIT-AI Steering Groups (including Christopher Yau) have published their guidelines for conducting and reporting on clinical trials for AI interventions. Setting guidelines to report the use of AI in clinical trials

A new postdoc opportunity with myself and Dr Mike Inouye is available based in Cambridge: Health Data Research UK (HDRUK) Multi-omics Consortium

Congratulations to Kaspar Martens who has had two papers accepted into AISTATS 2020. Papers to be published soon.

A paper by Kaspar Martens and group alumni Kieran Campbell Covariate GPLVM has been accepted for presentation at the International Conference on Machine Learning.

A novel convolutional filter-based approach for learning mutation signature representations.

A novel Bayesian nonparametric regression approach for high-dimensionality multi-modal data integration.