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Queen recognises student's leadership skills

Description
BSMS student and Royal Navy Captain, Julie Thain-Smith has been awarded the Queens' Commendation for Valuable Service in the latest
Url
/about/news/2015/07-30-queen-recognises-students-leadership-skills.aspx

F. BSMS RGEC Request for Amendment Form (2022)

Description
F. BSMS RGEC Request for Amendment Form (2022)
Url
/_word-docs/rgec/f.-bsms-rgec-request-for-amendment-form-2022.doc

BSMS RGEC Request for Amendment Form (2022)

Description
BSMS RGEC Request for Amendment Form (2022)
Url
/_word-docs/rgec/bsms-rgec-request-for-amendment-form-2022.doc

Dying at home

Description
A conversation with writer Fiona Mason, end of life doula Li Mills and palliative care consultant Dr Simone Ali, hosted by
Url
/about/events/2021/05-13-dying-at-home.aspx

Patient notes could offer solution to the 'missing' Coronavirus diagnoses

Description
GP's notes currently unavailable to medical researchers could provide clues to help manage major health crises – like COVID-19.
Url
/about/news/2020/05-26-patient-notes-could-offer-solution-to-the-missing-coronavirus-diagnoses.aspx

Astrophysics and AI may offer key to early dementia diagnosis

Description
Crucial early diagnosis of dementia in general practice could improve thanks to a computer model designed by BSMS and the University
Url
/about/news/2019/12-16-astrophysics-and-ai-may-offer-key-to-early-dementia-diagnosis.aspx

BSMS RGEC Request for Amendment Form (March 2017)

Description
BSMS RGEC Request for Amendment Form (March 2017)
Url
/_word-docs/working-with-human-tissue/bsms-rgec-request-for-amendment-form-march-2017.doc

Health Data Science

Description
Health data science can be used to improve healthcare and health outcomes by contributing to the development of risk prediction or
Url
/research/primary-care-and-public-health/research/health-data-science/health-data-science.aspx

National datasets

Description
An A-Z list of national datasets.
Url
/research/primary-care-and-public-health/research/health-data-science/arc-data-science-hub/national-datasets.aspx

Dr Qi Ying Lean

Description
Dr Qi Ying Lean is a Research Fellow at Brighton and Sussex Medical School (BSMS).
Url
/about/contact-us/staff/dr-qi-ying-lean.aspx
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