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Personalised Medicine in Endometrial Factor Evaluation: Transcriptomics and Machine Learning Predictors

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Duration: 0:27:36 | Added: 24 Nov 2017
Filmed at the CPM's event 'Personalised Medicine in Practice: Advances in Reproductive Science' on 7th March 2017.

Dr. Patricia Diaz Gimeno is graduated in Biological Science focused on Genetics (2006) with Excellence Award (2007) and a Doctor in Biomedicine by the Department of Pediatrics, Obstetrics and Gynaecology at Valencia University (2011). She achieved her PhD by researching on endometrial receptivity transcriptomics signature as biomarker and its applicability to evaluate human endometrial receptivity in the clinical practice. Dr. Patricia has also worked intensively for the translation of endometrial transcriptomics as a diagnostic method. She reached a deep specialisation in high throughput technologies (microarrays and NGS) and its related functional genomics analysis after her postdoctorate at Príncipe Felipe Research Centre in the Genomics and Bioinformatics department (2011-2013).

Since 2013 she has set up the Bioinformatics Lab at FIVI and has improved the knowledge of Window Of Implantation patient stratification using transcriptomics as gold standard and machine learning predictors. In addition, she has applied a systems genomics perspective for researching the molecular basis of menstrual cycle and endometrial factor subfertilities.

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