The research team from left to right includes Kelsey Swingle, Hannah Safford, Alex Hamilton, Ajay Thatte, Hannah Geisler, and Mike Mitchell.
New research on reproductive health demonstrates the first successful delivery of mRNA to placental cells to treat pre-eclampsia at its root.
Pre-eclampsia is a leading cause of stillbirths and prematurity worldwide, occurring in 3 – 8 % of pregnancies. A disorder characterized by high maternal blood pressure, it results from insufficient vasodilation in the placenta, restricting blood flow from the mother to the fetus.
Currently, a health-care plan for someone with pre-eclampsia involves diet and movement changes, frequent monitoring, blood pressure management, and sometimes early delivery of the baby. These standards of care address symptoms of the condition, not the root cause, and further perpetuate health inequity.
Now, Penn engineers are addressing this longstanding gap in reproductive health care with targeted RNA therapy.
The COVID vaccines demonstrated how lipid nanoparticles (LNPs) efficiently deliver mRNA to target cells. The success of LNPs is opening doors for a variety of RNA therapies aiming to treat the root causes of illness and disease. However, drug development and health care have consistently neglected a portion of the population in need of targeted care the most – pregnant people and their babies.
In one of the first studies of its kind, published in the Journal of the American Chemical Society,Michael Mitchell, J. Peter and Geri Skirkanich Assistant Professor of Innovation in Bioengineering, and Kelsey Swingle, Ph.D. student in the Mitchell Lab and lead author, describe their development of an LNP with the ability to target and deliver mRNA to trophoblasts, endothelial cells, and immune cells in the placenta.
Once these cells receive the mRNA, they create vascular endothelial growth factor (VEGF), a protein that helps expand the blood vessels in the placenta to reduce the mother’s blood pressure and restore adequate circulation to the fetus. The researchers’ successful trials in mice may lead to promising treatments for pre-eclampsia in humans.
Penn Engineering’s newly established ASSET Center aims to make AI-enabled systems more “safe, explainable and trustworthy” by studying the fundamentals of the artificial neural networks that organize and interpret data to solve problems.
ASSET’s first funding collaboration is with Penn’s Perelman School of Medicine (PSOM) and the Penn Institute for Biomedical Informatics (IBI). Together, they have launched a series of seed grants that will fund research at the intersection of AI and healthcare.
Teams featuring faculty members from Penn Engineering, Penn Medicine and the Wharton School applied for these grants, to be funded annually at $100,000. A committee consisting of faculty from both Penn Engineering and PSOM evaluated 18 applications and judged the proposals based on clinical relevance, AI foundations and potential for impact.
Artificial intelligence and machine learning promise to revolutionize nearly every field, sifting through massive amounts of data to find insights that humans would miss, making faster and more accurate decisions and predictions as a result.
Applying those insights to healthcare could yield life-saving benefits. For example, AI-enabled systems could analyze medical imaging for hard-to-spot tumors, collate multiple streams of disparate patient information for faster diagnoses or more accurately predict the course of disease.
Given the stakes, however, understanding exactly how these technologies arrive at their conclusions is critical. Doctors, nurses and other healthcare providers won’t use such technologies if they don’t trust that their internal logic is sound.
“We are developing techniques that will allow AI-based decision systems to provide both quantifiable guarantees and explanations of their predictions,” says Rajeev Alur, Zisman Family Professor in Computer and Information Science and Director of the ASSET Center. “Transparency and accuracy are key.”
“Development of explainable and trustworthy AI is critical for adoption in the practice of medicine,” adds Marylyn Ritchie, Professor of Genetics and Director of the Penn Institute for Biomedical Informatics. “We are thrilled about this partnership between ASSET and IBI to fund these innovative and exciting projects.”
Seven projects were selected in the inaugural class, including projects from Dani S. Bassett, J. Peter Skirkanich Professor in the Departments of Bioengineering, Electrical and Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry, and several members of the Penn Bioengineering Graduate Group: Despina Kontos, Matthew J. Wilson Professor of Research Radiology II, Department of Radiology, Penn Medicine and Lyle Ungar, Professor, Department of Computer and Information Science, Penn Engineering; Spyridon Bakas, Assistant Professor, Departments of Pathology and Laboratory Medicine and Radiology, Penn Medicine; and Walter R. Witschey, Associate Professor, Department of Radiology, Penn Medicine.
Optimizing clinical monitoring for delivery room resuscitation using novel interpretable AI
Elizabeth Foglia, Associate Professor, Department of Pediatrics, Penn Medicine and the Children’s Hospital of Philadelphia
Dani S. Bassett, J. Peter Skirkanich Professor, Departments of Bioengineering and Electrical and Systems Engineering, Penn Engineering
This project will apply a novel interpretable machine learning approach, known as the Distributed Information Bottleneck, to solve pressing problems in identifying and displaying critical information during time-sensitive clinical encounters. This project will develop a framework for the optimal integration of information from multiple physiologic measures that are continuously monitored during delivery room resuscitation. The team’s immediate goal is to detect and display key target respiratory parameters during delivery room resuscitation to prevent acute and chronic lung injury for preterm infants. Because this approach is generalizable to any setting in which complex relations between information-rich variables are predictive of health outcomes, the project will lay the groundwork for future applications to other clinical scenarios.
Penn Bioengineering alumnus Jiaqi Liu has been named to the eighth class of Schwarzman Scholars and will enroll at Tsinghua University in Beijing in August.
The program’s core curriculum focuses on leadership, China, and global affairs, according to the Schwarzman program. The academic program is updated each year to align with current and future geopolitical priorities. The coursework, cultural immersion, and personal and professional development opportunities are designed to equip students with an understanding of China’s changing role in the world.
This year, approximately 151 Schwarzman Scholars were selected from a pool of 3,000 applicants from 36 countries and 121 universities.
Jiaqi Liu earned his master’s degree in bioengineering in the School of Engineering and Applied Science in 2021. After graduation, he returned to China and works in global early-stage Venture Capital. According to the Schwarzman Scholars program, Liu is passionate about promoting medical equality and affordable health care solutions and has experience in medtech startup, global pharmaceutical company, health care consulting, and health care venture capital.
This story is by Amanda Mott. Read more about the Schwarzman Scholars at Penn Today.
Bella Mirro, a fourth year student in Bioengineering who also minors in Chemistry, spoke with 34th Street Magazine about her many roles at Penn, including being Co–President of Shelter Health Outreach Program (SHOP), a Research Assistant in lab of Michal A. Elovitz, the Hilarie L. Morgan and Mitchell L. Morgan President’s Distinguished Professor in Women’s Health at Penn Medicine, and a Penn Engineering Council Marketing Team Member. In this Q&A, she discusses her research in women’s health and her passions for accessible healthcare, serving Philadelphia’s homeless community, and good food.
Yi-An Hsieh, a fourth year Bioengineering student from Anaheim, California, worked remotely this summer on a team that spanned three labs, including the Kamoun Lab at the Hospital of the University of Pennsylvania. Hsieh credits her research on kidney graft failure with enriching her scientific skill set, exposing her to machine learning and real-time interaction with genetic datasets. In a guest post for the Career Services Blog, Hseih writes about her remote summer internship experience. “It showed me that this type of research energy that could not be dampened despite the distance,” she writes.
Cynthia Reinhart-King, Cornelius Vanderbilt Professor of Engineering and Professor of Biomedical Engineering at Vanderbilt University, was one of a handful of experts invited to take part in the White House Summit in Biotechnology and Biomanufacturing on September 14, 2022 in Washington, D.C. Reinhart-King and her colleagues gathered to discuss “bio-based solutions to global challenges ranging from food security and climate change to health security and supply chain disruptions.”
Penn Health-Tech director Katie Reuther (center) with Glory Durham, director of operations, Penn Health-Tech (at left), and Courtney Houtsma, program manager, Penn Health-Tech (at right), at a recent symposium.
A new interview in Penn Medicine News examines Penn Health-Tech (PHT) five years after its founding. PHT began as an experimental collaborative effort between the Perelman School of Medicine, the School of Engineering and Applied Science, and the Office of the Vice Provost for Research to provide funding, advising, and resources to empower innovators to develop transformative devices and technologies in the Penn community. Specifically, PHT specializes in connecting innovators from across Penn’s campus and schools to connect and to develop technology and medical devices to answer some of the most pressing needs in healthcare. Katherine (Katie) Reuther, Practice Associate Professor in Bioengineering, was appointed Executive Director of PHT in 2021 and is leading this venture into the next phase of its growth. Reuther, an alumna of Penn Bioengineering, followed up her doctoral studies with a M.B.A. from Columbia University and subsequently stayed at Columbia as Senior Lecturer in Design, Innovation, and Entrepreneurship in the Department of Biomedical Engineering. As such, her experience and expertise in the fields of both biomedical engineering and entrepreneurship position her well to shepherd PHT into its fullest potential:
“What appealed to me most about the position was a strong foundation, deep resources, and the potential and room to do more, including the opportunity to elevate Penn and Philadelphia as a national hub for health-technology innovation.”
Congratulations to Kevin B. Johnson, David L. Cohen University Professor, on his recent appointed as a Senior Fellow in the Leonard Davis Institute of Health Economics at the University of Pennsylvania (Penn LDI). Johnson, an expert in health care innovation and health information technology, holds appointments in Biostatistics, Epidemiology and Informatics in the Perelman School of Medicine and Computer and Information Science in the School of Engineering and Applied Science. He also holds secondary appointments in Bioengineering, Pediatrics, and in the Annenberg School of Communication and is Vice President for Applied Informatics in the University of Pennsylvania Health System.
Penn LDI is Penn’s hub for health care delivery, health policy, and population health, we connect and amplify experts and thought-leaders and train the next generation of researchers. Johnson joins over 500 Fellows from across all of Penn’s schools, the University of Pennsylvania Health System, and the Children’s Hospital of Philadelphia. Johnson brings expertise in Health Care Innovation, Health Information Technology, Medication Adherence, and Social Media to his new fellowship and has extensively studied healthcare informatics with the goal of improving patient care.
Kevin Johnson is used to forging his own path in the fields of healthcare and computer science.
A picture of Johnson as a child, from his children’s book “I’m a Biomedical Expert Now!”
If you ask him to locate his niche within these fields, Johnson, David L. Cohen and Penn Integrates Knowledge (PIK) Professor with appointments in Penn Engineering and the Perelman School of Medicine, would say “informatics.” But that doesn’t tell the whole story of the board-certified pediatrician, who has dedicated his career to innovations in how patients’ information is created, documented and shared, all with the goal of improving the quality of healthcare they receive.
Informatics, the study of the structure and behavior of interactions between natural and computational systems, is an umbrella term. Within it, there’s bioinformatics, which applies informatics to biology, and biomedical informatics, which looks at those interactions in the context of healthcare systems. Finally, there is clinical informatics, which further focuses on the settings where healthcare is delivered, and where Johnson squarely places himself.
“But you can just call it ‘informatics,’” says Johnson. “It will be easier.”
He mainly studies how computational systems can improve ambulatory care — sometimes known as outpatient care, or the kind of care hospitals give to patients without admitting them — in real time. If you’ve ever heard your doctor complain about the amount of time it takes them to input the information they get from you during your visit, or wondered why they need to capture this information during the visit in the first place, these are some of the questions Johnson is investigating.
“We’re taking care of patients but we’re getting frustrated by things that we thought these new computers should be able to fix,” says Johnson.” I think there’s a very compelling case for using engineering principles to reimagine electronic health records.”
Kevin Johnson is the David L. Cohen University of Pennsylvania Professor in the Departments of Biostatistics, Epidemiology and Informatics and Computer and Information Science. As a Penn Integrates Knowlegde (PIK) University Professor, Johnson also holds appointments in the Departments of Bioengineering and Pediatrics, as well as in the Annenberg School of Communication. Johnson is the Vice President for Applied Informatics for the University of Pennsylvania Health System and has been elected to the American College of Medical Informatics (2004), the Academic Pediatric Society (2010), the National Academy of Medicine (Institute of Medicine) (2010), and the International Association of Health Science Informatics (2021).
After a year of hybrid learning, Penn Bioengineering (BE) seniors were excited to return to the George H. Stephenson Foundation Educational Laboratory & Bio-MakerSpace for Senior Design (BE 495 & 496), a two-semester course in which students work in teams to conceive, design and pitch their capstone projects in bioengineering. This year’s projects include tools for monitoring health, software to improve communication for the healthcare and supply chain industries, and devices to improve patient care for women and underrepresented minorities.
Team 11 (ReiniSpec) From L to R: Ifeoluwa Popoola, Alexa Rybicki, JeongInn Park (TA), Caitlin Frazee, Michelle White, Caroline Kavanagh (on laptop).
The three winning teams went on to compete in the annual interdepartmental Senior Design Competition sponsored by the Penn Engineering Alumni Society. BE took home two of the four interdepartmental awards: Team Modulo Prosthetics won the “Technology and Innovation Prize,” recognizing the project which best represents the highest and best use of technology and innovation to leverage engineering principles; and Team ReiniSpec won the “Leadership Prize,” which recognizes the team which most professionally and persuasively presents their group project to incorporate a full analysis of their project scope, advantages, and challenges, and addresses the commercialization and future potential of their research.
All BE teams were also required to submit their projects to local and national competitions, and were met with resounding success. “The creativity and accomplishment of this Senior Design class is really unparalleled,” said David Meaney, Solomon R. Pollack Professor in Bioengineering, Senior Associate Dean of Penn Engineering, and instructor for Senior Design. “The number of accolades received by these students, as well as the interest in transforming their ideas into real products for patients, reached a new level that makes us extremely proud.”
Keep reading for a full list of this year’s projects and awards.
Team 1 – MEViD
MEViD (Multichannel Electrochemical Viral Diagnostic) is a modular, low cost device that leverages electrochemistry to rapidly diagnose viral diseases from saliva samples.
Team members: Yuzheng (George) Feng, Daphne Kontogiorgos-Heintz, Carisa Shah, Pranshu Suri, & Rachel Zoneraich
MOD EZ-IO is a low-cost, novel intraosseous drill that uses force and RPM readings to alert the user via an LED when they have breached cortical bone and entered cancellous bone, guiding proper IO placement.
Team members: Gregory Glova, Kaiser Okyan, Patrick Paglia, Rohan Vemu, & Tshepo Yane
Harvest by Grapevine is a user-centric software solution that merges social network communication and supply chain logistics to connect hospitals and suppliers under one unified platform.
Winner of the 2022 President’s Innovation Prize (team member Lukas Yancopoulos and partner William Kohler Danon [SAS 2022] for “Grapevine,” the larger software package of which “Harvest” was a part)
CliniCall helps streamline and centralize communication channels, offering a real-time monitoring device that enables on-site/attending physicians to communicate with on-call physicians through a livestream of patients and data.
Team members: Neepa Gupta, Santoshi Kandula, Sue Yun Lee, & Ronil Synghal
Team 5 – PneuSonus
PneuSonus is a low-cost, user-friendly wearable strap that aids in detecting pediatric pneumonia by using frequency analysis of sound waves transmitted through the lungs to identify specific properties related to fluid presence, a valid indicator specific to pneumonia.
Team members: Iman Hossain, Kelly Lopez, Sophia Mark, Simi Serfati, & Nicole Wojnowski
Team 6 – Chrysalis
Chrysalis is a smart swaddle system comprising an electric swaddle and accompanying iOS application that comforts neonatal abstinence syndrome infants via stochastic resonance and maternal heartbeat vibrational patterns to reduce opioid withdrawal symptoms without pharmacological intervention or constant nurse oversight as well as streamlines the Eat, Sleep, Console documentation process for nurses.
Team members: Julia Dunn, Rachel Gu, Julia Lasater, & Carolyn Zhang
EquitOx is a revolutionized fingertip pulse oximeter designed for EMS that addresses racial inequality in medicine through the use of one-off tongue-calibrated SpO2 measurements.
Team members: Ronak Bhagia, Estelle Burkhardt, Juliette Hooper, Caroline Smith, & Kevin Zhao
Modulo Prosthetic is an adjustable, low-cost, thumb prosthetic with integrated haptic feedback that attaches to the metacarpophalangeal (MCP) joint of partial hand amputees and assists in activities of daily living (ADLs).
Team members: Alisha Agarwal, Michelle Kwon, Gary Lin, Ian Ong, & Zachary Spalding
COR-ASSIST by Cygno Technologies is a low-cost intra-aortic balloon enhancement that directly supports heart function by increasing cardiac output to 2.8L/min, at a much lower cost and bleeding risk than the current Impella cardiac assist device.
Team members: Francesca Cimino, Allen Gan, Shawn Kang, Kristina Khaw, & William Zhang
Pedalytics Footwear is a rechargeable sandal that continuously monitors foot health and prevents diabetic foot ulcer formation by novelly tracking three key metrics indicative of ulceration, temperature, oxygen saturation, and pressure, and sending alerts to patients via the Pedalytics app when metric abnormalities are detected.
Team members: Samantha Brosler, Constantine Constantinidis, Quincy Hendricks, Ananyaa Kumar, & María José Suárez
ReiniSpec is a redesigned speculum to improve the gynecological exam experience, increasing patient comfort with a silicone shell and using motorized arm adjustments to make it easily adjustable for each patient, while also incorporating a camera, lights, and machine learning to aid in better diagnosis by gynecologists.
Team members: Caitlin Frazee, Caroline Kavanagh, Ifeoluwa Popoola, Alexa Rybicki, & Michelle White
In one of the first studies of its kind, published in the Journal of the American Chemical Society, Michael Mitchell, J. Peter and Geri Skirkanich Assistant Professor of Innovation in Bioengineering, and Kelsey Swingle, Ph.D. student in the Mitchell Lab and lead author, describe their development of an LNP with the ability to target and deliver mRNA to trophoblasts, endothelial cells, and immune cells in the placenta.
After a year of hybrid learning, Penn Bioengineering (BE) seniors were excited to return to the 