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Speaker Topics
Workshop Speakers (November 7, 2022)
Todd Treagan & Vicky Yao, Rice University
Sergey Koren, NIH
Donna M. Muzny, Baylor College of Medicine
Ge (Esther) Lou, Rice University
Fritz Sedlazeck, Baylor College of Medicine
Nicholas Navin, UT MD Anderson Cancer Center
Andrew Cox, UT Southwestern Medical Center
So Hyun (Julie) Park, Rice University
Genevera Allen, Rice University; Texas Children’s
Hospital; Baylor College of Medicine
Welcome to the RAD Genomics Workshop; Closing
A Complete Diploid Human Genome; Reading and Assembling Genomes Panel
Genomic Data Flow and Reporting for One Million All of Us Participants; Reading and Assembling Genomes Panel
Leveraging Wastewater Genomics for Public Health Surveillance: Focusing on Antibiotic Resistance and SARS-CoV-2
Reading and Assembling Genomes Panel
Cancer Genomics: One Cell at a Time; Analyzing and Designing Genomes Panel
Accurate Automated Classification of Prognostic Genetic Abnormalities in Acute Myeloid Leukemia and Acute Promyelocytic Leukemia
Comprehensive Analysis and Accurate Quantification of Unintended Large Gene Modifications Induced by CRISPR/Cas9 Gene Editing; Analyzing and Designing Genomes Panel
Analyzing and Designing Genomes Panel
Conference Speakers (November 8, 2022)
Angela Wilkins, Rice University
Lydia Kavraki, Rice University
Richard Gibbs, Baylor College of Medicine
Sonia Villapol, UT MD Anderson Cancer Center
Kirsten Ostherr, Rice University
Piyush Anand, Rice University
Courtney Rouse, Southwest Research Institute
Han Yu, Rice University
Jon Tamir, University of Texas at Austin
Badri Roysam, University of Houston
Kristy Brock, UT MD Anderson Cancer Center
Diego R. Martin, Houston Methodist Research Institute
Guha Balakrishnan, Rice University
Laurence Court, UT MD Anderson Cancer Center
Caroline Chung, UT MD Anderson Cancer Center
Stuart Corr, Houston Methodist
Ashok Veeraraghavan, Rice University
Wei Yang, UT MD Anderson Cancer Center
Josh Yung, UT MD Anderson Cancer Center
Conference Speakers (November 9, 2022)
Xia (Ben) Hu, Rice University
Theodora Chaspari, Texas A&M University
Roozbeh Jafari, Texas A&M University
Maryam Khalid, Rice University
Marzia Cescon, University of Houston
Cesar Uribe, Rice University
Akane Sano, Rice University
Laura E. Barnes, University of Virginia
Charles Green, UT Medical School at Houston
Yejin Kim, UT Health Science Center at Houston
Huiyuan Yang, Rice University
Conference Speakers (November 8, 2022)
Welcome to the 2022 AI in Health Conference
AI in Health: Progress and Prospects
Genomics and Health: All the Data that are Fit to Munge
What Can DNA Sequencing and the Gut Microbiome Tell Us About Concussions?
AI for Racial Health Equity
Did the Pandemic Politically Polarize Vaccine Conversations on Twitter? A Causal Monitoring Study
Identifying Polyploid Cells in Tissue Images via Instance-Aware Semantic Segmentation
Semi-Supervised Learning and Data Augmentation in Wearable-based Momentary Stress Detection in the Wild
Robust Computational Magnetic Resonance Imaging with Deep Learning
Automated Cell and Tissue Image Analysis for Aiding Therapeutics Discovery
The Role of AI in Advancing Image Guided Cancer Therapy
Machine and Artificial Intelligence in Radiology - Revolutionizing Healthcare
Learning to Reconstruct CT Scans from Few Planar X-rays
AI to Improve Access to Radiotherapy Across the World
Imaging Panel
Imaging Panel
Imaging Panel
Imaging Panel
Imaging Panel
Introduction to Transparency and Interpretation of Health; Towards Effective Interpretation of Deep Neural Networks: Algorithms and Applications; Transparency and Interpretation of Health Panel
Transparency and Interpretation of Health Panel
Transparency and Interpretation of Health Panel
Exploiting Social Graph Networks for Health Prediction
Deep Learning Based Affine Predictors for Model Predictive Control (MPC): The Case of Type 1 Diabetes (T1D) Therapy
Optimal Transport-Based Analysis of ECG Signals
Introduction to Adaptive Health; Adaptive Health Panel
Sensing and Intervention for Smart Health and Wellbeing; Adaptive Health Panel
Bayesian Adaptive Trial Designs; Adaptive Health Panel
Identifying Subpopulations with Different Alzheimer’s Disease Risk and Progression; Adaptive Health Panel
More to Less (M2L): Enhanced Health Recognition in the Wild with Reduced Modality of Wearable Sensors