Machine Learning I

Sponsored By 

Session Chair(s)

• 

  Aisha Chen, PhD (she/her/hers)

  Associate Professor
  Azusa Pacific University
  Azusa, California, United States
• 

  Nzinga Mack, PhD (she/her/hers)

  Postodoctoral fellow
  Johns Hopkins University
  Baltimore, Maryland, United States

Track Chair(s)

• 

  Patrick Boyle, FHRS, FAHA (he/him/his)

  Associate Professor
  University of Washington
  Seattle, Washington, United States
• 

  Mohammad Fallahi-Sichani, PhD (he/him/his)

  Associate Professor
  University of Virginia, Virginia, United States

Presentations:

• 1:15 PM – 1:30 PM EST

  Radiomic features extracted from magnetic resonance images of a mouse model of sickle cell disease predict genotype and classify arteriopathy using machine learning
  

  Co-Author: Liana Hatoum, M.S. – Georgia Institute of Technology

  Co-Author: Viviana Benfante, PhD in Molecular and Clinical Medicine – Università degli Studi di Palermo

  Co-Author: Albert Comelli, PhD (he/him/his) – Ri.MED Foundation

  Co-Author: Hannah Song Lee, PhD (she/her/hers) – National Institutes of Health / NIBIB

  Co-Author: Ed Botchwey – Georgia Institute of Technology

  Presenting Author: Manu O. Platt, PhD (he/him/his) – National Institutes of Health / NIBIB
• 1:30 PM – 1:45 PM EST

  Early Dynamic Prediction of Organ System Deterioration in ICU Patients
  

  Presenting Author: Nidhi Soley, PhD (she/her/hers) – Johns Hopkins University

  Co-Author: Siqi "Kiki" Zhang (she/her/hers) – Biomedical Engineering, Johns Hopkins University

  Co-Author: Jiashan Zong – Johns Hopkins University

  Co-Author: Nubaira Milki – Chemical and Biomolecular Engineering, Johns Hopkins University

  Co-Author: Nicholas Kats, BS (he/him/his) – Biomedical Engineering, Johns Hopkins University

  Co-Author: Joseph L. Greenstein, PhD (he/him/his) – Department of Biomedical Engineering, Johns Hopkins University

  Co-Author: Casey Overby Taylor – SOM DOM GIM BIDS, Johns Hopkins University

  Co-Author: Timothy Ruchti, PhD – Nihon Kohden Digital Health Solutions, LLC, Irvine, CA

  Primary Investigator: Pedro Alejandro Mendez-Tellez – Johns Hopkins Anesthesiology and Critical Care Medicine, School of Medicine, Baltimore, MD
• 1:45 PM – 2:00 PM EST

  Identification of Fiducial Points on 3D Torso Images Using Contrastive Learning
  

  Presenting Author: Sara bouhali, MSc (she/her/hers) – University of Houston

  Co-Author: Gregory P. Reece (he/him/his) – The University of Texas MD Anderson Cancer Center

  Co-Author: Mia K. Markey, PhD (she/they) – The University of Texas at Austin

  Co-Author: Fatima A. Merchant, PhD (she/her/hers) – University of Houston
• 2:00 PM – 2:15 PM EST

  Identifying Functionally Important Residues: BERT Entropy and Interpretability Applied to Protein Function Prediction
  

  Presenting Author: Safaa A. Mouline (she/her/hers) – UC Berkeley

  Co-Author: Andrew Dickson (he/him/his) – University of California - Berkeley

  Primary Investigator: Mohammad Mofrad – UC Berkeley
• 2:15 PM – 2:30 PM EST

  IDR-pLM: IDR Ensemble Property Prediction via Protein Language Models
  

  Presenting Author: Pranay Vure (he/him/his) – Duke University

  Presenting Author: Rishab Pulugurta (he/him/his) – Duke University

  Co-Author: Tianlai Chen, MS (he/him/his) – Duke University

  Primary Investigator: Pranam Chatterjee – Duke University
• 2:30 PM – 2:45 PM EST

  Investigating Autoregressive Models and Period of Observation Length for Challenging Behavior Prediction in Autism Spectrum Disorder
  

  Presenting Author: Jennifer Ferina (she/her/hers) – Rensselaer Polytechnic Institute

  Co-Author: Uwe Kruger – Rensselaer Polytechnic Institute

  Co-Author: Conor Anderson – The Center for Discovery

  Co-Author: Jenny Foster, MS, BCBA, LBA – The Center for Discovery

  Co-Author: Theresa Hamlin – The Center for Discovery

  Primary Investigator: Juergen Hahn, PhD – Rensselaer Polytechnic Institute