Francesca Crowe

Francesca Crowe is an Associate Professor in Applied Health Sciences at Aston University, with a robust research profile spanning cardiovascular health, pregnancy complications, and the application of artificial intelligence in clinical decision-making. Her work primarily focuses on systematic reviews, meta-analyses, and large-scale epidemiological studies using primary care electronic health records.

Dr. Crowe's research interests center on understanding the relationships between pregnancy-related complications and long-term health outcomes, particularly cardiovascular disease, type 2 diabetes, and hypertension in women. She has pioneered work in developing risk prediction models for postpartum cardiovascular disease and defining phenotypes of disease severity across multiple health conditions. Her recent work explores healthcare professionals' perspectives on AI implementation for managing patients with multiple long-term conditions.

Analysis of her publication record reveals a strong emphasis on methodological rigor, with frequent use of umbrella reviews, systematic reviews, and retrospective cohort studies. Her work demonstrates significant impact in women's health, with particular attention to the intersection of reproductive health and chronic disease development.

Dr. Crowe has received considerable attention for her research, with multiple publications picked up by news outlets and widely read on academic platforms like Mendeley. Her 2024 umbrella review on pregnancy complications and type 2 diabetes has been particularly influential, with 65 Mendeley readers and 9 citations.

As an active researcher, Dr. Crowe serves as Principal Investigator and Co-Investigator on multiple significant projects funded by NIHR, UK Research and Innovation, and industry partners like BAYER. Her current projects focus on improving care for patients with diabetes and kidney disease, reducing residual risk in diabetic renal disease, data innovation in public health, and addressing gambling-related harms through equitable approaches.