An endometriosis patient’s story
An endometriosis patient’s story
We’re excited to present the fourth and final episode of Scailyte’s Endometriosis Awareness Series, where Cinzia Donato interviews Sreya Desari, an inspiring young woman sharing her personal journey with endometriosis.
Sreya, now 19 years old, has been grappling with heavy periods, severe cramping, and iron deficiency since the age of 11. Initially, her symptoms were dismissed as “normal” for someone experiencing an early period. However, after switching to her current primary care physician, she finally received the treatment and support she needed.
In this interview, we delve into Sreya’s journey, from her initial experiences with endometriosis symptoms to her diagnosis and subsequent treatment options. We explore the impact that endometriosis and its treatment have had on her daily life and career. Sreya shares her insights on the importance of addressing women’s health from a young age and the significance of receiving a definite diagnosis.
Sreya’s story serves as a powerful reminder of the challenges faced by individuals with endometriosis and the importance of early intervention and support. We discuss the need for increased awareness and empowerment of patients, and how we can collectively work towards creating a brighter future for those affected by endometriosis.
Follow us to stay up to date on the latest developments in our mission to advance endometriosis research and improve healthcare outcomes for women.
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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