Anant Madabhushi, the F. Alex Nason Professor II of biomedical engineering, gave a keynote lecture on precision medicine at the Digital Pathology conference at the SPIE Medical Imaging Symposium in Orlando, Florida, Feb. 13.

He delivered his lecture, titled “Prognostications and predictions: implications for precision medicine,” to a standing-room-only audience.

He discussed the use of computational imaging and machine learning approaches for predicting treatment response and outcome for different cancers using radiographic and tissue imaging data.

He closed the lecture by contrasting the capabilities of techniques based on deep learning for object detection and classification versus those using emerging handcrafted features approaches for improved predictive modeling of tissue appearance.