Machine Learning for Pathology - Lecture 19 - MIT Deep Learning in the Life Sciences (Spring 2021)

MIT 6.874/6.802/20.390/20.490/HST.506 Spring 2021 Prof. Manolis Kellis Deep Learning in the Life Sciences / Computational Systems Biology Guest Lecturers: Anant Madabhushi and Bree Aldridge Playlist: https://youtube.com/playlist?list=PLypiXJdtIca5sxV7aE3-PS9fYX3vUdIOX Latest slides and course today: http://compbio.mit.edu/6874 Spring 2021 slides and materials: http://mit6874.github.io/ 0:00 Computational pathology for precision medicine 7:04 Diagnostic and predictive tools 15:09 Deep learning in compational pathology 21:06 Trustworthiness of deep learning 32:00 Utility of deep learning in segmentation 35:27 Hand crafted features 43:18 Take away 47:07 Combination therapies for tuberculosis 54:00 Drug induced morphological changes 1:02:58 Morphological evaluation and understanding 1:13:06 Checkerboard approach 1:15:21 Diagonal measurement of n-way drug interactions 1:25:04 Acknowledgements