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Wednesday, September 21
9:15 AM - 9:30 AM (EDT)Welcome & Logistics |
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Dr. Simon MatooriSymposia Co-Chair & ModeratorAssistant Professor, Université de Montréal |
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9:30 AM - 11:00 AM (EDT)Session 1: Robotic Devices for Drug Delivery |
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Over the last two decades, a variety of robotic delivery systems have been developed. Robots at the nano-, micro-, and macroscale sense the environment and trigger the drug release autonomously. Robotic capsules monitor vital signs, and release a drug when a patient’s status deteriorates. Self-administered robotic infusion systems are simplifying drug administration of biologics, improving compliance and enabling home administration. This session covers robotic delivery systems at different length scales, and the potential and challenges of robotics in drug delivery. | |
Dr. Beate BittnerSymposia Co-Chair & ModeratorProduct Optimization Franchise Leader, F. Hoffmann - La Roche |
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Dan BacherDigital Health and Drug Delivery In One Capsule
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Eric SchillerInnovation opportunities for IV infusion at homeSanofi |
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Dr. Chris FranzeseInnovation opportunities for IV infusion at homeMatchstick |
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Dr. Wei GaoIngestible microrobots: From test tubes to live animalsCaltech |
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11:00 AM - 11:30 AM (EDT)BREAK |
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11:30 AM - 12:30 PM (EDT)Keynote Speaker |
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Dr. Giovanni TraversoAssistant Professor, Department of Mechanical Engineering, Massachusetts Institute of Technology Assistant Professor of Medicine (part-time), Division of Gastroenterology, Brigham and Women’s Hospital, Harvard Medical School |
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12:30 PM - 1:00 PM (EDT)BREAK |
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1:00 PM - 3:30 PM (EDT)Session 2: Delivery Systems for Diagnostic Use |
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Academia has recently repurposed a range of established delivery systems (microneedles, liposomes, robotic devices) for diagnostic purposes. Industry is also focusing on diagnostics as they allow for the identification of patients most likely to benefit from treatment and the assessment of treatment response. Indeed, companion diagnostics are key to the success of many new therapies, and increasingly required for FDA approval. In analogy to drug delivery systems, the properties of diagnostic formulations determine their success: the release kinetics of the diagnostic agent, their stability and shelf-life, and manufacturing considerations such as scale-up. The sessions explore the challenging development of diagnostic delivery systems from different angles: the industrial perspective and the perspective of translationally focused academic institutions. | |
Dr. Simon MatooriSymposia Co-Chair & ModeratorAssistant Professor, Université de Montréal |
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Dr. Rushdy AhmadWyss Diagnostics Accelerator, Harvard University |
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Leo HofmannTS-01 - An innovative ammonia assay based on transmembrane pH-gradient polymersomesVersantis |
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Dr. Thierry BettingerMicrobubbles plaform: A modular technology for disruptive approaches in medicineBracco |
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Dr. Davide BrambilaNaked eye invisible microtattoos for diagnostic and monitoring applicationsUniversité de Montréal |
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Dr. Matthew BurtonDisrupting DiagnosticsDetact Diagnostics |
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3:30 PM - 4:00 PM (EDT)Wrap Up and Closing Words |
Thursday - September 22, 2022
9:15 AM - 9:30 AM (EDT)Welcome and Logistics |
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Dr. Simon MatooriSymposia Co-Chair & ModeratorAssistant Professor, Université de Montréal |
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9:30 AM - 12:30 PM (EDT)Session 3: How to Define and Nurture Breakthrough Technologies |
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What makes a technology a breakthrough technology? And how can a technology be improved? In this session, we are aiming to answer these questions with key stakeholders along the drug development path. An editor will talk about how they pick manuscripts and reviewers; a Venture Capital company will elaborate on how they pick startups and provide ecosystems for these startups to grow; a Medical Doctor will talk about a recent advance in treatment; and a life cycle management expert will provide their insights into breakthrough formulations for approved drugs. These experts will define true breakthroughs from bench to bedside. |
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Dr. Beate BittnerSymposia Co-Chair & ModeratorProduct Optimization Franchise Leader, F. Hoffmann - La Roche |
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Dr. Christine HorejsPublishing breakthrough technologies - an editorial perspectiveEditor in Chief, Nature Reviews Bioengineering |
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Dr. Felix SchumacherDrug delivery to the brain - a landscapeProgram Leader Targeted Therapeutics, Roche |
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Dr. Josh HorvathLong-Acting Ocular Drug Delivery: the Port Delivery System for RanibizumabSenior Director, Genentech |
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Dr. Dennis LeeNovel Drug Delivery Solutions for Challenging Product Concepts in Global HealthBill and Melinda Gates Foundation |
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Dr. Manuel Sanchez-FelixPatient Focused Breakthrough Drug Delivery TechnologiesNovartis |
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Dr. Athanas KoynovMerck |
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12:30 PM - 1:00 PM (EDT)BREAK |
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1:00 PM - 3:30 PM (EDT)Session 4: How Artificial Intelligence is Revolutionizing the Drug Formulation Workflow |
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Drug formulation science has traditionally relied on iterative optimization of formulations involving laborious in vitro and in vivo studies. Having made breakthrough contributions in medicine and drug discovery, artificial intelligence offers opportunities to reduce experimentation and quality control testing by the use of training sets to predict the properties of new formulations and batches of established formulations. First studies showed how machine learning systems successfully predicted drug release kinetics from polymeric implants and the in vivo biodistribution of nanoparticles. These two sessions will highlight how artificial intelligence is revolutionizing the drug formulation workflow from excipient selection to animal testing. | |
Dr. Daniel RekerMachine Learning to Discover Functional Excipients and NanoparticlesAssistant Professor, Duke University |
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Dr. Christine AllenHarnessing Automation and Machine Learning to Accelerate Drug Formulation DevelopmentProfessor, University of Toronto |
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Dr. Maksim KhotimchenkoA novel AI/ML-driven In silico simulation of the opioid drug transdermal absorption in normal skin and cutaneous lesionsPrincipal DMPK Scientist, VeriSIM Life Inc. |
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Dr. Natalie BoehnkeNanoparticle delivery through the lens of omicsAssistant Professor, University of Minnesota |
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Dr. Adam GormleyMachine Learning-Guided Robotics for the Data-Driven Design of NanomaterialsRutgers University |
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3:30 PM - 4:00 PM (EDT)Wrap Up and Closing Words |