Acerca de
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
​