In this episode of Next Gen in 10🎙️, Sabrina chats with Dollina Dodani, a PhD candidate in Bioinformatics at UBC. Under the supervision of Dr. Aline Talhouk, Dollina is exploring how the vaginal microbiome 🧫 could be used to improve early screening and detection of endometrial cancer. She shares how she’s using machine learning and transfer learning to build a “General Vaginal Microbiome Classifier” — a computational tool that could transform how we diagnose gynecological diseases. From decoding complex data 📊 to uncovering microbial clues 🔍, this episode dives into the intersection of biology, AI, and women’s health.

For more information on the Gynecologic Cancer Initiative, please visit https://gynecancerinitiative.ca/ or email us at [email protected]

Where to learn more about us:
Twitter – @GCI_Cluster
Instagram – @gynecancerinitiative
Facebook – facebook.com/gynecancerinitiative
TikTok – @gci_gosh