5F: Computational and Machine Learning Approaches

Timeslot: Thursday, April 20, 2023 - 3:45pm to 5:45pm
Room: Coral 5

About

Computational modeling and machine learning can enhance our ability to design and evaluate biomaterials for a variety of applications. This session will explore computational approaches and tools for designing biomaterials for tissue engineering and other applications, evaluating complex data from in vitro and in vivo studies, and predicting biomaterial performance in different microenvironments. Examples of these may include fluid mechanics and bio-transport models of drug/protein delivery, models of protein-protein and protein-material interactions, statistical modeling for biomaterial optimization, machine learning for biomaterial design and analysis, and bioinformatics-based platforms for analyzing complex data, including RNA sequencing and other -omics approaches.

  • 3:45 PM 241. Engineering High Throughput Screening Platforms for Cervical Cancer. Ines Cadena, Kaitlin Fogg, Oregon State University, Corvallis, OR, USA.

  • 4:00 PM 242. Rational Design of an Affinity-Based Biomaterial for Sustained Angiogenic Protein Delivery. Justin Svendsen, Simon Oh, Karly Fear, Parisa Hosseinzadeh, PhD, Marian Hettiaratchi, PhD, University of Oregon, Eugene, OR, USA.

  • 4:15 PM 243. Moderate-Affinity Affibodies for Affinity-Controlled Delivery of Bone Morphogenetic Protein-2 (BMP-2). Jonathan Dorogin, MS, Henry Hochstatter, Karly Fear, Parisa Hosseinzadeh, PhD, Marian Hettiaratchi, PhD, University of Oregon, Eugene, OR, US.

  • 4:30 PM 244. Computational Simulation of the Impact of Cell-Adhesive Sequence on Supramolecular Peptide Hydrogel Assembly. Andrew Thede, Clare Cocker, Liza Harold, Rachel Letteri, PhD, Kyle Lampe, PhD, University of Virginia, Charlottesville, VA, USA.

  • 4:45 PM 245. The Optimization of Poly(vinyl)-Alcohol-Alginate Beads with Tetrabutoxysilane for the Aerobic Cometabolism of Chlorinated Solvents. Conor Harris, MS, Hannah Gedde, Lewis Semprini, PhD, Willie Rochefort, PhD, Kaitlin Fogg, PhD, Oregon State University, Corvallis, OR, USA.

  • 5:00 PM  Machine Learning Analysis of Matrix Architecture Following Treatment of Abdominal Adhesions, 

     Jason L. Guo,1 Deshka S. Foster,1,2 Norah E. Liang,1 Charlotte E. Berry,1 D. Jack Li,1 Michael Januszyk,1, 2 Gerlinde Wernig,3 Jeffrey A. Norton,1 Michael T. Longaker.1, 2, 1Hagey Laboratory of Pediatric Regenerative Medicine, Stanford University School of Medicine, Stanford, CA. 2Department of Surgery, Stanford University School of Medicine, Stanford, CA. 3Department of Pathology, Stanford University School of Medicine, Stanford, CA.

  • 5:15 PM 247. Predicting Ti-6Al-4V Corrosion Using Artificial Intelligence. Michael Kurtz, BS, Ruoyu Yang, PhD, Mohan Elapolu, PhD, Dinghe Liu, MS1,2, Rahul Rai, PhD, Jeremy Gilbert, PhD, Clemson University, Charleston, SC, USA, Medical University of South Carolina, Charleston, SC, USA.

  • 5:30 PM 248. 3D Mapping of Whole Human Fallopian Tubes at Single-Cell Resolution. Andre Forjaz, MS, Ashleigh Crawford, Pei-Hsun Wu, Ashley Kiemen, Ie-Ming Shih, Denis Wirtz,Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, USA, Institute for Nanobiotechnology, Johns Hopkins University, Baltimore, MD, USA, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA, Baltimore, MD, USA, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA, Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.