Giorgia Carra, PhD

Affiliations primaires:

• Service des maladies infectieuses du CHUV
• Biomedical Data Science Center (BDSC) du CHUV
• Université de Lausanne (UNIL)

Dr. Carra is an expert in applied artificial intelligence for healthcare. She graduated in Biomedical Engineering at the Polythecnic of Turin, Italy. Afterwards, she pursued her interest in digital innovation with a PhD in Artificial Intelligence (AI) for decision support and treatment optimization at KU Leuven University, Belgium. Her PhD thesis in the field of AI in the intensive care unit (ICU) won the 2022 Belgian SIZ prize for best research in the field. During her PhD, Dr. Carra developed a keen interest in the translation of AI-research solutions at the bedside, which she is still following with passion and enthusiasm.

Currently, she works as Senior Data Scientist at CHUV in a joined position between the Department of Infectious Diseases and the Biomedical Data Science Center, the objective of this multidisciplinary collaboration is to advance the digitalization process of healthcare and disease understanding through AI-driven cutting hedge research.

• Development and External Validation of a Machine Learning Model for the Early Prediction of Doses of Harmful Intracranial Pressure in Patients with Severe Traumatic Brain Injury. Carra G., Guiza F., Piper I., Citerio G., Maas A., Depreitere B., Meyfroidt G. Journal of Neurotrauma. 2023. PMID: 35950615. Voir l'article

• Postoperative Cerebral Oxygen Saturation in Children After Congenital Cardiac Surgery and Long-Term Total Intelligence Quotient: A Prospective Observational Study. Carra G., Flechet M., Jacobs A., Verstraete S., Vlasselaers D., Desmet L., Van Cleemput H., Wouters P., Vanhorebeek I., Van den Berghe G., Guiza F., Meyfroidt G. Critical Care Medicine. 2021. PMID: 33591016.  Voir l'article

• Prediction model for intracranial hypertension demonstrates robust performance during external validation on the CENTER-TBI dataset. Carra G., Guiza F., Depreitere B., Meyfroidt G. Intensive Care Medicine. 2020. PMID: 33001234.  Voir l'article

• Prediction of short-term health outcomes in preterm neonates from heart-rate variability and blood pressure using boosted decision trees. Semenova O., Carra G., Lightbody G., Boylan G., Dempsey E., Temko A. Comput Methods Programs Biomed. 2019. PMID: 31421605.  Voir l'article

• Data-driven ICU management: Using Big Data and algorithms to improve outcomes.Carra G., Salluh J. IF., da Silva Ramos F. J., Meyfroidt G. Journal of Critical Care. 2020. PMID: 32977139.  Voir l'article

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