2022 Annual Meeting

Session: Big Data and Machine Learning to Advance Medicine

Chair

Karthik Shekhar, Broad Institute of MIT and Harvard

Co-Chair

Varghese Kurian, University Fo Delaware

Presentations

08:00 AM

(284a) Data-Driven QSAR Modeling for the Iterative Identification of Chemical Motifs from Limited Data
Hyun-Seob Song, Chul Min Park, Soojin Jang, Jae Sun Kim, Hyung Chul Ryu, Hasoo Seong

08:19 AM

(284b) Single Sequence Prediction of Protein Structure and Impacts on Computational Protein Design
Ratul Chowdhury

08:38 AM

(284c) Hierarchical Graph-Based Representation Drives Prediction of Stapled Peptide Drug-like Properties
Marshall Case, Camille Bilodeau, Greg Thurber

08:57 AM

(284d) Data-Driven Approach for the Prediction of MHC Class II Epitopes Using Oscillations of Physicochemical Properties
Christopher Kieslich, Hyeju Song

09:16 AM

(284e) Automated Detection of Apoptotic Bodies in Label-Free Time-Lapse High-Throughput Microscopy Using Deep Convolutional Neural Networks
Kwan-Ling Wu, Navin Varadarajan, Badrinath Roysam, Prashant Menon, Kate Reichel, Shravani Deo, Melisa Martinez-Paniagua

09:35 AM

(284f) Single-Cell Transcriptomic Analysis of Neural Development
Karthik Shekhar

09:54 AM

(284g) Structure-Guided Functional Phylogenetic Trees of Human Channel Proteins and Kinases for Drug Discovery
Ratul Chowdhury

10:13 AM

(284h) Machine Learning Enabled Cancer and Immune Cells Segmentation on Clinical Images
Shachi Mittal, Vidit Shah, Felicia Poynter