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DTSTART;TZID=America/Chicago:20260202T120000
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SUMMARY:BME Seminar Series: Salman R. Khetani
DESCRIPTION:From Engineering Predictive Human Tissue Platforms to Advancing the Impact of Wisconsin Biomedical Engineering\n\n\n\n\n\n\n\nSalman R. Khetani\, PhDProfessorAssociate Department HeadActing Associate Dean for Graduate StudiesDepartment of Biomedical EngineeringUniversity of Illinois Chicago \n\n\n\nAbstract:The convergence of patient-specific human cell sources\, microengineering\, and data science is accelerating the adoption of New Approach Methodologies (NAMs) that reduce reliance on animal studies. Against this backdrop\, my lab develops highly functional\, long-lasting in vitro human tissue platforms for drug metabolism and toxicity testing\, disease modeling\, and regenerative medicine. We emphasize reproducibility\, scalability\, and ease of use to enable broad adoption by end users. We leverage these systems to uncover cellular and molecular mechanisms that drive major human diseases and to inform more effective therapeutics\, including metabolic dysfunction–associated steatotic liver disease\, alcohol-associated liver disease\, hepatitis B viral infection\, inflammatory bowel disease\, lung fibrosis\, and atrial fibrillation. We are further extending our platforms into reproductive and developmental health\, where clinical guidance is often limited\, and advancing vascularized\, implantable human liver tissue surrogates as a bridge-to-transplantation strategy for patients with end-stage organ failure. \n\n\n\nPrint PDF
URL:https://engineering.wisc.edu/event/bme-seminar-series/
LOCATION:1003 (Tong Auditorium) Engineering Centers Building\, 1550 Engineering Drive\, Madison\, WI\, 53706\, United States
CATEGORIES:Biomedical Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2024/11/Seminar-Graphic-Fall2024-1.avif
ORGANIZER;CN="Department of Biomedical Engineering":MAILTO:bmehelp@bme.wisc.edu
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260216T120000
DTEND;TZID=America/Chicago:20260216T130000
DTSTAMP:20260407T043735
CREATED:20260213T212654Z
LAST-MODIFIED:20260216T140536Z
UID:10001461-1771243200-1771246800@engineering.wisc.edu
SUMMARY:BME Seminar Series: Wally Block\, PhD
DESCRIPTION:*Speaker Change\n\n\n\nGene Therapy for Rare Neurodegenerative Diseases: RARE will get us there\n\n\n\n\n\n\n\nWally Block\, PhDProfessorDepartment of Biomedical EngineeringUW-Madison \n\n\n\nRare monogenic neurological diseases affect about 0.5% of Americans at birth and are estimated to account for up to 40% of the workload in hospital pediatric practice. Current drug delivery methods struggle to overcome the Blood Brain Barrier (BBB)\, with 98% of small molecule drugs and 99% of monoclonal antibody therapies failing to cross the BBB. This barrier\, while protecting the brain\, creates significant challenges for drug delivery and patient treatment. \n\n\n\nConvection Enhanced Delivery (CED) is emerging as a promising solution\, circumventing the BBB with direct\, minimally invasive catheter-based infusion. Current CED surgical protocols distribute gene therapies are transforming the outlook for Huntington’s disease where only perhaps 1% of the brain needs to be altered genetically. In most rare neurodegenerative diseases however\, much larger volumes of the brain require will require treatment. \n\n\n\nNew government initiatives like ARPA-H THRIVE are making a 9-figure investment in genetic correction\, many of which will be focused on genetic correction for rare brain disorders. This talk will provide an overview of the biophysics technology being developed across a consortium centered at UW-Madison to get from 1% to 100% of brain coverage. The talk will present an argument why solving rare diseases will accelerate efforts to treat genetic approaches to much higher prevalence diseases such as Parkinson’s or Alzheimers. \n\n\n\nPrint PDF
URL:https://engineering.wisc.edu/event/bme-seminar-series-wally-block-phd/
LOCATION:1003 (Tong Auditorium) Engineering Centers Building\, 1550 Engineering Drive\, Madison\, WI\, 53706\, United States
CATEGORIES:Biomedical Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2024/11/Seminar-Graphic-Fall2024-1.avif
ORGANIZER;CN="Department of Biomedical Engineering":MAILTO:bmehelp@bme.wisc.edu
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DTSTART;TZID=America/Chicago:20260220T000000
DTEND;TZID=America/Chicago:20260222T235959
DTSTAMP:20260407T043735
CREATED:20260203T202325Z
LAST-MODIFIED:20260204T165305Z
UID:10001453-1771545600-1771804799@engineering.wisc.edu
SUMMARY:Lean Green Belt Training
DESCRIPTION:On campus – location TBD \n\n\n\nIISE is hosting in-person Lean Green Belt Training on campus!  Open to ALL students\, this is a fantastic opportunity to add an industry-recognized certification to your resume.This 3-day\, live\, in-person workshop is open to all students and focuses on practical\, engineering-driven Lean tools\, process improvement\, and data-driven problem solving—skills employers actively look for in engineering\, operations\, supply chain\, consulting\, and analytics roles. Unlike many professional certifications\, no prior industry experience is required. You’ll gain hands-on exposure to industry-standard methods\, learn how to identify inefficiencies and improve processes\, and leave with a credential you can immediately add to your resume and talk about in interviews. Early registration is encouraged for discounted pricing.  \n\n\n\nDon’t miss this opportunity to earn a professional certification while still a student!! \n\n\n\n\nInformation/Registration
URL:https://engineering.wisc.edu/event/lean-green-belt-training/
LOCATION:WI
CATEGORIES:Biomedical Engineering,Chemical & Biological Engineering,Civil & Environmental Engineering,Departments,Electrical & Computer Engineering,Industrial & Systems Engineering,Materials Science & Engineering,Mechanical Engineering,Nuclear Engineering & Engineering Physics
ATTACH;FMTTYPE=image/png:https://engineering.wisc.edu/wp-content/uploads/2026/02/Lean-Green-Belt-Training.avif
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DTSTART;TZID=America/Chicago:20260223T120000
DTEND;TZID=America/Chicago:20260223T130000
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CREATED:20260121T162037Z
LAST-MODIFIED:20260216T140646Z
UID:10001434-1771848000-1771851600@engineering.wisc.edu
SUMMARY:BME Seminar Series: Shawn M. Gomez\, EngScD
DESCRIPTION:From Cellular Networks to Therapeutic Predictions: A Data-Driven Approach to Precision Medicine\n\n\n\n\n\n\n\nShawn M. Gomez\, EngScDProfessor and Associate Chair for ResearchCo-Executive Director\, FastTaCS\, NC TraCS InstituteLampe Joint Department of Biomedical Engineering at UNC-Chapel Hill and NC State University \n\n\n\nAbstract:Precision medicine aims to tailor prevention\, diagnosis\, and therapy to individual patients’ biological states. We pursue this as a multiscale problem\, combining molecular and systems biology approaches with translational AI methods to improve clinical decision-making. In this talk\, I focus on our systems-level efforts to predict targeted therapeutic responses in cancer. This challenge is particularly acute because despite extensive molecular profiling capabilities\, predicting how therapies affect cellular phenotypes remains a critical barrier to precision oncology. Targeted therapies produce highly variable outcomes due to the adaptive\, networked nature of cellular signaling. Comprising over 500 kinases\, the protein kinome forms the backbone of these networks and represents a central therapeutic target space. However\, predicting how kinome perturbations propagate through cellular systems to shape phenotypic outcomes is a major challenge. My research program addresses this by developing data-driven approaches that link kinase inhibition states to downstream cellular responses\, enabling the rational design of single-agent and combination therapeutic strategies. I will discuss our work building predictive models that forecast cellular responses to kinase-targeted therapies\, validated experimentally across breast and pancreatic cancer cell lines and patient-derived xenograft models. These models integrate large-scale proteomic and multi-omic data within machine learning frameworks to identify key kinases and network features driving therapeutic outcomes. This work illustrates how systems-level modeling translates molecular data into actionable insights for precision medicine. I’ll conclude by highlighting opportunities for research\, educational\, and translational innovation in BME at UW-Madison. \n\n\n\nPrint PDF
URL:https://engineering.wisc.edu/event/bme-seminar-series-5/
LOCATION:1003 (Tong Auditorium) Engineering Centers Building\, 1550 Engineering Drive\, Madison\, WI\, 53706\, United States
CATEGORIES:Biomedical Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2024/11/Seminar-Graphic-Fall2024-1.avif
ORGANIZER;CN="Department of Biomedical Engineering":MAILTO:bmehelp@bme.wisc.edu
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