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TRACK NIGHT 2013 Hosted by BMES UT Austin Student Chapter Sign in at the front Please fill out a survey before you leave

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TRACK NIGHT 2013 Hosted by BMES UT Austin Student Chapter Sign in at the front Please fill out a survey before you leave

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TRACK NIGHT 2013 Technical Area/Track 1 Technical Area/Track 2 Technical Area/Track 3

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TRACK NIGHT 2013 Technical Area/Track 1 Technical Area/Track 2 Technical Area/Track 3

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Technical Area/Track 1 Biomedical Imaging and Instrumentation Focused on imaging, diagnostics, and therapy through biomedical instrumentation

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Skills Image and signal processing Analog/digital network analysis Software/hardware programming Circuit Design Data acquisition Computational analysis of data in regard to living systems Track 1: Biomedical Imaging and Instrumentation

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E E 445S Real-Time Digital Signal Processing Lab E E 438 Fundamentals of Electronic Circuits E E 312 Software Design and Implementation I Some Technical Electives BME 357: Biomedical Imaging Modalities EE 371R: Digital Image & Video Processing BME 374K: Instrument Design EE 445L: Embedded Systems Lab EE 422C: Software Design & Implementation II EE 347: Modern Optics BME 347: Fundamentals of BME Optics + 4 hours of Engineering Electives

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Track 1: Biomedical Imaging and Instrumentation + 4 hours of Engineering Electives

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Companies Track 1: Biomedical Imaging and Instrumentation National Instruments Hospira Flextronics GE Healthcare Medtronic Biomet Stryker Arthrocare Intuitive Surgical Siemens Healthcare Philips Healthcare Zimmer St. Jude Medical

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Area Faculty Track 1: Biomedical Imaging and Instrumentation Andrew Dunn Stanislav Emelianov Thomas Milner H. Grady Rylander Konstantin Sokolov James Tunnell Tim H.C. Yeh Xiaojing John Zhang

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Very good collection/excitation overlap One project in our lab uses a combination of radiative and non-radiative techniques: Multi-Modal Spectroscopy (MMS): Reflectance, Fluorescence, and Raman Spectroscopy Multiple techniques at once provides complementary information We aim to use an MMS approach for the early detection of skin cancer SpectroscopyPhysiology RamanLipids Beta-carotene N/C ratio Light ScatteringMicroarchitecture AbsorptionBlood perfusion Hypoxia Water FluorescenceNADH, FAD Collagen Multi-Modal Spectroscopy for Early Cancer Detection

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Optical fiber probe light source BS spectrograph 1 mm Source: BBC News, Health contents 2005 Rajaram Appl Opt 2011 N2 Laser Xenon Lamp Camera SpectrometerOptical switch Microcontroller 830nm laser Camera Fiber-optic capture Spectrometer Spectral Diagnosis System

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Probe Performance SIoSIo DI1DI1 ssaa Tissue Optical Fibers Reflectance Raman Classifier # Lesions RSDOSLIFSCombinedAccuracy MM vs. PL 12 vs. 17 95 / 89 58/ 41 67 / 18 96 / 91100% BCC vs. N 19 vs. 19 74 / 74 100/ 84 74/ 63 95 / 9595% SCC vs. AK 24 vs. 14 85 / 50 83/ 69 62/ 52 100 / 5784% AKSCC vs. N 52 vs. 52 100/ 54 75/ 64 88/ 64 92 / 7182% PL vs. N 29 vs. 28 90/ 82 97 / 96 93 / 100 97 / 10098% MM = malignant melanoma PL = pigmented lesion BCC = basal cell carcinoma SCC = squamous cell carcinoma AK = actinic keratosis AKSCC = AK + SCC N= normal Probe Performance

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Gold nanorod (GNR) properties: Inert and biocompatible Easily bioconjugable Surface plasmon resonance: Strong absorption and scattering cross-sections (imaging and therapy) 14 Another project utilizes Gold Nanorods for Cancer Imaging and Therapy: Image gold nanorods with two-photon microscopy utilizing a ultrafast fs pulsed laser to get high axial and lateral resolution Photothermal therapy, taking advantage of gold nanorods passively and actively targeted to cancer cells/tumors and using the heat induced from gold nanorods when excited with laser at nanorod resonance frequency Gold Nanoparticle-Mediated Imaging and Photothermal Therapy of Cancer Cells

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15 Nanoparticles Two-photon Imaging (Z-stacks): PEG GNRs (red) are non- specifically bound to the membrane (green) of the cell CTAB GNRs (red) are internalized within cells Photothermal Therapy: Irradiate with near- infrared laser Induce heat Measure cell damage

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Gold Nanorod Uptake in Multicellular Tumor Spheroids Green: Cell Membrane Stain Red: Gold Nanorods Blue: Nuclei 3D Cellular in vitro Models of Cancerous Tumors Optically Magnified Z-Stack 3D Reconstruction

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Technical Area/Track 1 Biomedical Imaging and Instrumentation Classes, Opportunities, Post-Grad Final thoughts on

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TRACK NIGHT 2013 Technical Area/Track 1 Technical Area/Track 2 Technical Area/Track 3

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Technical Area/Track 2 Cell and Biomolecular Engineering Integration of cell & molecular biology with engineering analysis; Address problems in molecular medicine

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Track 2: Cell and Biomolecular Engineering Skills Tissue engineering Materials science Construction of nanoscale devices Creation of bioactive materials Bioengineering perspective on disease and immune response Modeling biological systems

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BME 339 Biochemical Engineering Track 2: Cell and Biomolecular Engineering BME 352 Engineering Biomaterials BME 354BME 344BME 379 Some Technical Electives BME 342: Biomechanics of Human Movement BME 344: Biomechanics BME 354: Molecular Sensors & Nanodevices for BME Applications BME 379: Tissue Engineering Upper-Division Biology (Genetics) Organic Chemistry II & Lab + 6 hours of Engineering Electives

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Track 2: Cell and Biomolecular Engineering + 6 hours of Engineering Electives

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Track 2: Cell and Biomolecular Engineering Companies Genentech Merck Pfizer Dow Procter and Gamble Boston Scientific Osteomed Biomet Amgen Life Technologies GE Terapio

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Track 2: Cell and Biomolecular Engineering Area Faculty Aaron Baker Amy Brock George Georgiou Jenny Jiang Nicholas Peppas Michael Sacks Jeanne Stachowiak Laura Suggs Janet Zoldan

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Laboratory of Biomaterials, Drug Delivery and Bionanotechnology Nicholas A. Peppas

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ORAL PROTEIN DELIVERY 26

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Protein Therapeutics Advantages Complex, unique functions Faster FDA approval Over 130 approved protein therapeutics 1 In 2010, sales exceeded $93 billion 2 Disadvantages High cost Compound stability Large molecular weight Route of administration www.vivo.colostate.edu www.cs.stedwards.edu www.tarsatherapeutics.com 1 Leader, Benjamin et. al. Protein therapeutics: A summary and pharmacological evaluation. Nat Rev. Drug Disc. 7 (2008) 21-39. 2 Maheshwari, Shushmul. Global protein therapeutics market: Beefing up towards futuristic growth. 27

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Oral Delivery of Therapeutic Proteins Benefits Ease of administration Increased patient compliance Lower cost Challenges Maintaining stability and activity in the stomach Narrow absorption window in the small intestine Transport across endothelium to the bloodstream 28

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pH-Responsive Systems Complexed; small mesh size pH ~2 Decomplexed; increased mesh size pH ~5-7 29

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Promoting Particle Interaction with the Environment 30 Tether-containing polymer/ drug complexes for mucoadhesion, which have an increased residence time Caco-2 cells with tight junction stained Caco-2 cells as a gastrointestinal model Tether-containing polymer/ drug complexes for mucoadhesion, which have an increased residence time Caco-2 cells with tight junction stained Caco-2 cells as a gastrointestinal model Tether-containing polymer/ drug complexes for mucoadhesion, which have an increased residence time Caco-2 cells with tight junction stained Caco-2 cells as a gastrointestinal model

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Oral Chemotherapeutic Delivery 31

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Overcoming the challenges of oral chemotherapeutic delivery 32 Sequential Interpenetrating Polymer Network Grafted, Copolymer Network Hydrophobic Components Graft Hydrophilic Network Grafted PEG Chains Hydrophobic Nanoparticles embedded in Hydrophilic Network 275 nm hydrophobic nanoparticles

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ORAL siRNA DELIVERY 33

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A combined approach to oral siRNA delivery 34 Polycationic polymers mediate endosome disruption through the proton sponge mechanism. Following endosomal escape, entrapped biomolecules can be released into the cytosol. PLGA micro- particles Fluorescently- labeled nanogels after cellular uptake

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MOLECULAR RECOGNITION 35

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Molecularly Imprinted Polymer (MIP) Methodology Used for diagnostic platforms 36 Solvent Initiator Components TemplateMolecule FunctionalMonomers Crosslinker Complexation Polymerization Recognitive Cavity Extraction and drying

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Bionanotechnology 37

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Hydrogels and Heat 38 Gold-polymer nanoparticle for triggered and targeted drug delivery Upon laser irradiation, a thermo-sensitive polymer collapses to release therapeutics. Real time imaging via ultrasound/photoacoustic methods. Temperature sensitive nano-composites with Fe 3 O 4 and gold NPs shown schematically, with electron microscopy, and thermal-IR imaging.

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Technical Area/Track 2 Cell and Biomolecular Engineering Classes, Opportunities, Post-Grad Final thoughts on

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TRACK NIGHT 2013 Technical Area/Track 1 Technical Area/Track 2 Technical Area/Track 3

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Computational Biomedical Engineering Use of computational algorithms to address problems in healthcare and biomedical research

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Skills Design medical decision aids Dynamic analysis of biomechanics Thermodynamic modeling of bio- molecular reactions Image processing and interpretation Computational genomics Track 3: Computational Biomedical Engineering

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M 325K Discrete Mathematics E E 422C Software Design and Implementation II E E 312 Software Design and Implementation I Track 3: Computational Biomedical Engineering E E 360C Algorithms Some Technical Electives BME 341: Engineering Tools for Computational Genomics Lab BME 342: Biomechanics of Human Movement BME 344: Biomechanics BME 345: Graphics and Visualization BME 346: Computational Biomolecular Engineering M 340L: Matrices and Matrix Calculations + 5 hours of Engineering Electives

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Track 3: Computational Biomedical Engineering + 5 hours of Engineering Electives

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Track 3: Computational Biomedical Engineering Ortho-Kinematics Luminex AssureRX Diagnostic Hybrids Proscan Imaging Novartis IBM Pfizer Companies

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Track 3: Computational Biomedical Engineering Kenneth Diller Mia Markey Pengyu Ren Michael Sacks Area Faculty

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Mitral valve (MV) repair: annuloplasty rings Recurrence of mitral regurgitation after repair due to excessive tissue stress Multiscale model: valve geometry, tissue stress, MV interstitial cells Track 3: Computational Biomedical Engineering To develop a model of the mitral valve that will optimize the restoration of homeostatic normal tissue stress 3D Reconstruction of MV based on Micro-CT images 1 1. Lee, Chung-Hao et al.2013

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Track 3: Computational Biomedical Engineering Generation of 3D Finite Element Model for MV & Estimated Leaflet Thickness based on Micro-CT Images 1 1. Lee, Chung-Hao et al.2013

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Track 3: Computational Biomedical Engineering To create a 3D rendition of the MVIC microenvironment using electron microscopy techniques TEM or SEM 3D reconstruction software: Turboreg, Stagreg Reconstruct Blender Amira Heymann: 2D & 3D imaging of yeast cells Heymann et al. 2006

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Technical Area/Track 3 Computational Biomedical Engineering Classes, Opportunities, Post-Grad Thoughts on

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Thank you for coming! Enjoy the pizza in the back!