A research study is being trialed in the NHS using Artificial Intelligence (AI) hoping to reduce the amount of time in diagnosing lung cancer by half.
7 Mar 2022
KMMS has been successful in securing funding from the National Institute for Health and Care Research to support medical students expand their experience in research.
On Wednesday 6 March 2024 the Kent and Medway Women’s Health Innovation Summit is being held at Kent and Medway Medical School in Canterbury.
Academics are focusing on reducing health inequities for trans people with intellectual disabilities and trans autistic people.
Alan Mount, a senior academic in the School of Allied and Public Health Professions, is appointed Chair of Education and Standards Committee for College of Operating Department Practitioners.
KMMS runs Dr SAMS (Suicide Awareness in Medical Students) initiative with suicide awareness and prevention charity Olly’s Future to equip medical students with suicide prevention skills.
The natural mineral, known as a nano-nutrient matrix (NNM), was created and developed originally to treat anti-inflammatory skin conditions, such as psoriasis and eczema.
The School of Allied and Public Health Professions at Canterbury Christ Church University has joined with NHS England to develop a new standards and framework to support Allied Health professionals.
KMMS Professor Sukhwinder Shergill, with colleagues from Canterbury Christ Church University and other universities, has been awarded £1.7m to study the connection between sleep and mental health.
Researchers at the University have received funding from the National Institute for Health and Care Research (NIHR) to investigate how best to support people who experience psychosis.
A novel programme for the self-management of type 2 diabetes has been recognised with a nomination in the national Quality in Care (QiC) Diabetes awards.
KMMS has been awarded seven Integrated Academic Training (IAT) Fellowships as part of the National Institute of Health Research IAT Competition 2024/5.
A new study is hoping to reduce the time taken to diagnose lung cancer by using artificial intelligence (AI) software to detect abnormalities on chest X-rays.