Amir Enshaei

Specialist Scientist, Genomic Services and Development Unit
National Infection Service
Amir Enshaei's has a background in machine learning, predictive modelling, pattern recognition, feature selection and risk stratification in big biological datasets. Following my PhD at Newcastle University (2012) titled ‘Development of Artificial Intelligence Systems as a prediction tool in ovarian cancer’, Enshaei completed 4 years as a post-doctoral scientist in the Leukaemia Research Cytogenetics Group (LRCG). In 2016, Amir was awarded a 4 year Bloodwise /14M Genomics Integrative Biology fellowship. His current research is focusing on integrating large biological datasets and using machine learning?systems in creating a prognostic and predictive tool for Acute Lymphoblastic Leukaemia (ALL). Enshaei believes such tools will enable us to deliver precision medicine for cancer patients.


November 8 2019, 16:30
 - 17:00
A Novel, Integrated And Validated Prognostic Index For Predicting Outcome In Paediatric Acute Lymphoblastic Leukaemia

Live Webinar

Higher Quality Nucleic Acid Extraction from FFPE Tissue & Other Challenging Samples Using the Ionic™ Purification System

hosted by Klint Rose, Chief Scientific Officer, Purigen Biosystems

Wednesday 27th May
16:00 BST