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 decod...
All content for GOSH Podcast is the property of Gynecologic Cancer Initiative and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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 decod...
Next Gen in 10: Exploring Preventive Care for BRCA Mutation Carriers
GOSH Podcast
12 minutes
2 months ago
Next Gen in 10: Exploring Preventive Care for BRCA Mutation Carriers
🎙️ New on the GOSH Podcast! ✨ In our very first Next Gen in 10 episode, we’re spotlighting Sabrina, an MSc candidate at in the WACH UBC program. Her research focuses on preventive care for BRCA mutation carriers—a group at higher risk for breast and ovarian cancer. Under the mentorship of Dr. Gillian Hanley, Sabrina is exploring preventative interventions that can help reduce cancer risk and improve outcomes for hereditary high-risk groups. Tune in to hear about the next generation of researc...
GOSH Podcast
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 decod...