Sharmila Subramaniam

University of California, San Francisco

Sharmila Subramaniam's research contributions span multiple fields, including gastroenterology, endoscopy, and medical informatics. Recent studies demonstrate advancements in the detection and management of Barrett's neoplasia, gastrointestinal bleeding, and inflammatory bowel disease. The development and validation of artificial neural networks models for detecting cancerous lesions has shown significant promise, while blue light imaging for classification and virtual chromoendoscopy have improved diagnostic accuracy. Subramaniam's work also explores novel technologies, such as self-assembling peptides for hemostasis, non-thermal resection tools, and image description algorithms, which aim to enhance clinical practice and patient outcomes. These findings hold relevance for the healthcare community, offering insights into innovative solutions for early detection, treatment, and quality improvement in endoscopy services.