| Title: | Towards personalised medicine in surgery - the role of genomics in regulating postoperative complications. |
| Lead Institution: | Copenhagen University Hospital, University of Copenhagen |
| Principal investigator: | Dr Martin Sillesen |
Application 60861
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About
Complications following surgical procedures strike upwards of 15% of the 234 million patients operated annually worldwide. Upwards of 4% of patients die as a direct result of the complication, and survivors are often severely affected by these events. Furthermore, complications increase the cost of treatment by upwards of 130%, and is thus a significant economic burden on society. Accurate risk prediction prior to surgery have the potential to reduce morbidity, as well as provide substantial health-care related savings. Current prediction models are, however, not able to take into account precision medicine effects such at personal genomic profile With this project, we seek to use artificial intelligence algorithms to assess the how personal genomics affects the risk of postoperative complications. We primarily seek to train algorithms on data from the UK biobank in order to teach the model how genetics can influence disease. Subsequently, we seek to transfer these trained models to a the surgical setting, to investigate whether they can assist in more accurate risk prediction.2 Publications
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 9550 | Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients | Espen Jimenez-Solem (+34) | 2021 | Scientific Reports |
| 11571 | Genetic risk factors for postoperative atrial fibrillation - a nationwide genome-wide association study (GWAS) | Mathias A. Christensen (+2) | 2023 | Frontiers in Cardiovascular Medicine |
Enabling scientific discoveries that improve human health