Linda Fiaschi took her B.Sc., M.Sc. in Electronic Engineering with Biomedical Specialization at the University of Pisa, Italy, before going onto do her PhD in Computer Science (Bioinformatics) at the University of Nottingham.
Electronic health records, large routine health data management and analysis, perinatal epidemiology, pregnancy longitudinal data, medical data mining, programming, Bioinformatics, diseases association studies, genetic data analysis, medical signal processing,
Google Scholar: https://scholar.google.com/citations?user=ucE-TBQAAAAJ&hl=en&oi=ao
Dr Fiaschi is tutor on the module 'Data Organisation and Management in Epidemiology' (DOME) delivered on the Master in Public Health degree. She supervises MPH dissertations, BMedSci projects, PhD… read more
Linda Fiaschi is currently working on the GBS3 Trial (https://www.gbs3trial.ac.uk/home.aspx ), leading the routine data acquisition, management and linkage of several different electronic health… read more
DHALWANI, N.N., SZATKOWSKI, L., COLEMAN, T., FIASCHI, L. and TATA, L.J., 2018. Stillbirth among women prescribed nicotine replacement therapy in pregnancy: Analysis of a large UK pregnancy cohort Nicotine & Tobacco Research. Accepted Manuscript Online: 31 January 2018, BANNISTER J, SZATKOWSKI L, SHARKEY D, TAN S, FIASCHI L and BAN L, 2018. Early Life Incidence of Gastrointestinal and Respiratory Infections in Children with Gastroschisis: A Cohort Study. Journal of pediatric gastroenterology and nutrition.
FIASCHI, LINDA, HOUSLEY, GEMMA, NELSON-PIERCY, CATHERINE, GIBSON, JACK, RAJI, AYOKUNNU, DEB, SHILPA and TATA, LAILA J, 2018. Assessment of discharge treatment prescribed to women admitted to hospital for hyperemesis gravidarum. International journal of clinical practice. e13261
Dr Fiaschi is tutor on the module 'Data Organisation and Management in Epidemiology' (DOME) delivered on the Master in Public Health degree. She supervises MPH dissertations, BMedSci projects, PhD students and she is personal tutor for medical students. She also obtained the Fellowship status with Advance HE.
Linda Fiaschi is currently working on the GBS3 Trial (https://www.gbs3trial.ac.uk/home.aspx ), leading the routine data acquisition, management and linkage of several different electronic health datasets involved in the trial.
This is a multi-centre prospective two-group parallel cluster randomised controlled superiority trial with internal pilot, feasibility evaluation, qualitative study and parallel economic modelling. The GBS3 trial will test whether routine testing of women for Group B Streptococcus (GBS) colonisation either in late pregnancy or during labour reduces the occurrence of early-onset neonatal sepsis, compared to the current risk factor based strategy.
This trial, the first adequately powered RCT of GBS screening in the world, is commissioned by the NIHR, following a research prioritisation process led by the Department of Health and Social Care, to address an important absence of evidence required by the UK National Screening Committee (NSC).
PROTECT-CH trial (https://www.protect-trial.net/): a UK-wide clinical trial to identify treatments that can protect care home residents from developing COVID-19.
Linda Fiaschi's past research project involved the assessment of risk factors, complications, drug safety and management of nausea, vomiting and hyperemesis in pregnancy. This was a Rosetrees Trust funded project which made use of some of the largest primary and secondary care datasets in the UK.
Other previous research projects involved looking at the computerisation of general practices in the United Kingdom. This Wellcome Trust funded project is known as Assessment of drug safety and the impact of illness in pregnancy using routinely collected primary care data:
- The project proposes to build a large nationally-representative database of pregnancy information using a unique household identifier, linking the records of mothers to their children.
- Databases are used to assess the impact of chronic and infectious illnesses and associated drug treatments on pregnancy, and as an early warning system for new drugs.
- Resource will be used to find out the impacts, in terms of obstetric complications, adverse pregnancy outcomes and adverse childhood outcomes, of gestational exposures to commonly used medications.
Read more about Assessment of drug safety and the impact of illness in pregnancy using routinely collected primary care data
FP6 Marie Curie Fellowship (2006-2009 at University of Nottingham, UK): Novel Guidelines for the Analysis of Single Nucleotide Polymorphisms in Disease association Studies
FP6-IST Marie Curie Industry Host Fellowship (2004-2005 at Philips in Aachen, Germany): Criteria for personalized analysis of biomedical signals during ambulatory monitoring