The challenges in diagnosing and treating Endometriosis patients
The challenges in diagnosing and treating Endometriosis patients
March is Endometriosis Awareness Month and Scailyte is proud to celebrate the achievements of leaders in this field. We’re honoured to have interviewed Dr. Sara Imboden, Senior Consultant of the Gynecological Clinic at Inselspital, who also serves as the responsible physician for the certified specialized Endometriosis clinic of Inselspital.
Dr. Imboden is an active Endometriosis researcher covering a range of clinical topics, from symptomatology to surgical interventions in the context of various gynaecological diseases. She obtained her medical degree in Bern, Switzerland, and completed her residency in surgery and gynaecology in Thun and Bern. She also obtained a research fellowship from the Karolinska Institute in Stockholm, Sweden, in 2017.
We’re thrilled to share our interview with Dr. Imboden, in which she describes dealing with Endometriosis from a clinician’s perspective. Check out the video to learn more about her work and the importance of raising awareness for this chronic condition.
#endometriosisawarenessmonth #endometriosis #research #womenhealth #scailyte #EndoWarrior #1in10
About Scailyte
Scailyte is an ETH Zürich spin-off with a best-in-class artificial intelligence platform for the discovery of complex disease patterns from single-cell data. Our solution provides unprecedented insight into the disease and patients’ biology and enables the discovery of new clinically-relevant biomarker signatures by uncovering human’s hidden “single-cell” secrets.
Scailyte’s proprietary best-in-class data analysis platform ScaiVision™ associates multimodal single-cell datasets (RNA-/TCR-/BCR-seq, proteomics, etc.) with clinical endpoints, such as disease diagnosis, progression, severity, treatment response, and toxicity response to identify ultra-sensitive biomarker signatures and cell functionality states. The performance and clinically-relevant applications of Scailyte’s platform ScaiVision have been demonstrated in well established CAR-T cell therapies and various clinical projects in Oncology and Immunology.
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