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Quantifying the Variability in the Assessment of Reproductive Hormone levels.

Nov 20, 2023

ABOUT THE CONTRIBUTORS

  • Ali Abbara

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom; Department of Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom.

    Sophie Adams

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom.

    Maria Phylactou

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom; Department of Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom.

    Chioma Izzi-Engbeaya

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom; Department of Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom.

    Edouard G Mills

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom; Department of Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom.

    Layla Thurston

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom; Department of Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom.

    Kanyada Koysombat

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom; Department of Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom.

    Simon Hanassab

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom; Department of Computing, Imperial College London, London, United Kingdom; UKRI Centre for Doctoral Training in Artificial Intelligence (AI) for Healthcare, Imperial College London, London, United Kingdom.

    Thomas Heinis

    Department of Computing, Imperial College London, London, United Kingdom.

    Tricia M-M Tan

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom; Department of Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom; North West London Pathology, London, United Kingdom.

    Krasimira Tsaneva-Atanasova

    Department of Mathematics and Statistics, and Living Systems Institute, College of Engineering, Mathematics and Physical Sciences, University of Exeter, United Kingdom; EPSRC Hub for Quantitative Modelling in Healthcare, University of Exeter, Exeter, United Kingdom.

    Alexander N Comninos

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom; Department of Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom.

    Margaritis Voliotis

    Department of Mathematics and Statistics, and Living Systems Institute, College of Engineering, Mathematics and Physical Sciences, University of Exeter, United Kingdom; EPSRC Hub for Quantitative Modelling in Healthcare, University of Exeter, Exeter, United Kingdom.

    Waljit S Dhillo

    Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Hospital, London, United Kingdom; Department of Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom. Electronic address: w.dhillo@imperial.ac.uk.

REFERENCES & ADDITIONAL READING

PubMed

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