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Lei Clifton

Lei Clifton PhD

Dr

Lead Medical Statistician

Official Fellow in AI & Machine Learning, Reuben College

Biography

Lei is affiliated with the "AI for Healthcare'' CHI Lab led by Prof David Clifton, and currently leads a group of 3-4 researchers in the Nuffield Department of Population Health. She also leads analytical work in the Pandemic Science Institute on effective pandemic preparedness and response. Lei is a senior advisor of the NIHR Research Support Service team, which provides free advice on research design to researchers.

Lei was awarded a PhD in Statistical Machine Learning in 2007 from UMIST (now the University of Manchester), and subsequently worked as a post-doctoral researcher and then a medical statistician in the University of Oxford. She enjoys painting watercolours and playing violin, both amateurishly, in her spare time.

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Other Information

Statistical and machine learning expertise in large-scale clinical records.

Most Recent Publications

A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates

A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates

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A collaborative large language model for drug analysis

A collaborative large language model for drug analysis

Altmetric score is

Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling under Data-View Heterogeneity

Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling under Data-View Heterogeneity

Altmetric score is

Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model

Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model

Altmetric score is

Beyond correlations: the necessity and the challenges of causal AI

Beyond correlations: the necessity and the challenges of causal AI

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Research Interests

Lei's research interests are in the field of medical statistics and AI, for large-scale observational studies and electronic health records.

Most Recent Publications

A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates

A multimodal automated deep learning-based model for predicting biochemical recurrence of prostate cancer following prostatectomy from baseline MRI, Presurgical clinical covariates

Altmetric score is

A collaborative large language model for drug analysis

A collaborative large language model for drug analysis

Altmetric score is

Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling under Data-View Heterogeneity

Learning Across the Divide: Personalised Federated Learning for Robust Clinical Modelling under Data-View Heterogeneity

Altmetric score is

Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model

Dynamic Beat-to-Beat Measurements of Blood Pressure Using Multimodal Physiological Signals and a Hybrid CNN-LSTM Model

Altmetric score is

Beyond correlations: the necessity and the challenges of causal AI

Beyond correlations: the necessity and the challenges of causal AI

Altmetric score is
View all