Machine Learning Seminar Series with Dinkar Juyal and Andrew Walker (PathAI)
AI for Digital Pathology
Pathology plays a critical role in the diagnosis of disease and is the basis of all tissue-based biomarkers. In recent years, the advancements of AI in digital pathology have shown immense potential in improving patient outcomes through accurate diagnosis and enabling drug development. This talk introduces AI for digital pathology and covers pathology domain-specific machine learning challenges. We briefly spotlight Multiple Instance Learning (MIL) for pathology and a recent work by PathAI to improve its interpretability. We also explore Test Time Adaptation, a form of domain generalization, in the context of pathology. ML methods like these solve core problems in the field and enable PathAI’s products to succeed in clinical applications.
About the speakers and PathAI
Dinkar Juyal is a Machine Learning Engineer at PathAI. For more than 3 years, his work at PathAI has centered around topics such as weak supervision, interpretability, robustness of ML models, as well as building ML products for pathology. He received his masters's degree in Operations Research from University of California, Berkeley in 2019. His work has been published in multiple ML and medical conferences and journals, including NeurIPS, ICLR and Journal of Hepatology.
Andrew Walker joined PathAI as a Machine Learning Engineer in August. He graduated with a master's in computer science from the UMN Department of Computer Science and Engineering in May 2022. He completed his thesis, titled “Adaptive Domain Generalization for Digital Pathology Images” in Ju Sun’s GLOVEX group, in partnership with PathAI.
PathAI is a leading provider of AI-powered research tools and services for pathology. PathAI's platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine and deep learning. Based in Boston, PathAI works with leading life sciences companies and researchers to advance precision medicine. To learn more, visit pathai.com.