César de la Fuente, Ph.D., a Presidential Assistant Professor in Psychiatry, Microbiology, and Bioengineering, is leading a team to develop an electrode that can be easily printed at low cost to provide COVID-19 test results from your smart phone.
A recent Penn Medicine blog post surveys the efforts across Penn and the Perelman School of Medicine to develop novel says to detect SARS-CoV-2 and features several Department of Bioengineering faculty and Graduate Group members, including César de la Fuente, Presidential Assistant Professor in Psychiatry, Microbiology, and Bioengineering; Arupa Ganguly, Professor in Genetics; A.T. Charlie Johnson, Rebecca W. Bushnell Professor in Physics and Astronomy; Lyle Ungar, Professor in Computer and Information Science; and Ping Wang, Associate Professor in Pathology and Laboratory Medicine.
Read “We’ll Need More than Vaccines to Vanquish the Virus: New COVID-19 Testing Technology at Penn” by Melissa Moodyin Penn Medicine News.
“Kevin Johnson is a gifted physician-scientist,” Gutmann said, “who has harnessed and aligned the power of medicine, engineering, and technology to improve the health of individuals and communities. He has championed the development and implementation of clinical information systems and artificial intelligence to drive medical research, encouraged the effective use of technology at the bedside, and empowered patients to use new tools to better understand how medications and supplements may affect their health. He is a board-certified pediatrician, and his commitment to patient health and welfare knows no age limits. In so many different settings, Kevin’s work is driving progress in patient care and improving our health care system. He is a perfect fit for Penn, where our goal is to create a maximally inclusive and integrated academic community to spur unprecedented global impact.”
Johnson is currently the Cornelius Vanderbilt Professor and chair of the Department of Biomedical Informatics at the Vanderbilt University School of Medicine, where he has taught since 2002. He is a world-renowned innovator in developing clinical information systems that improve best practices in patient safety and compliance with medical practice guidelines, especially the use of computer-based documentation systems and other digital technologies. His research bridges biomedical informatics, bioengineering, and computer science. As senior vice president for health information technology at the Vanderbilt University Medical Center from 2014 to 2019, he led the development of clinical systems that enabled doctors to make better treatment and care decisions for individual patients, in part by alerting patients as to how medications or supplements might affect their body chemistry, as well as new systems to integrate artificial intelligence into patient care workflows and to unify and simplify all the Medical Center’s clinical and administrative systems.
The author of more than 150 publications, books, or book chapters, Johnson has held numerous leadership positions in the American Medical Informatics Association and the American Academy of Pediatrics, leads the American Board of Pediatrics Informatics Advisory Committee, directs the Board of Scientific Counselors of the National Library of Medicine, and is a member of the NIH Council of Councils. He has been elected to the National Academy of Medicine (Institute of Medicine), American College of Medical Informatics, and Academic Pediatric Society and has received awards from the Robert Wood Johnson Foundation and American Academy of Pediatrics, among many others.
“Kevin Johnson exemplifies our most profound Penn values,” Pritchett said. “He is a brilliant innovator committed to bringing together disciplines across traditional boundaries. Yet he always does so in the service of helping others, finding technological solutions that can make a tangible impact on improving people’s lives. He will be an extraordinary colleague, teacher and mentor across multiple areas of our campus in the years to come.”
Johnson earned an M.D. from the Johns Hopkins University School of Medicine, an M.S. in medical informatics from Stanford University, and a B.S. with honors in biology from Dickinson College. He became the first Black chief resident in pediatrics at Johns Hopkins in 1992, and was a faculty member in both pediatrics and biomedical information sciences at Johns Hopkins until 2002.
The Penn Integrates Knowledge program was launched by Gutmann in 2005 as a University-wide initiative to recruit exceptional faculty members whose research and teaching exemplify the integration of knowledge across disciplines and who are appointed in at least two Schools at Penn.
Postdoc Scott Zhang at work in the Johnson lab. (Photo: Eric Sucar, University Communications)
Even as COVID-19 vaccines are being rolled out across the country, the numerous challenges posed by the pandemic won’t all be solved immediately. Because herd immunity will take some time to reach and the vaccine has not yet been approved for some groups, such as children under 16 years of age, the coming months will see a continued need for tools to rapidly track the disease using real-time community monitoring.
A team of Penn researchers is working on a new “electronic nose” that could help track the spread of COVID-19. Led by physicist Charlie Johnson, the project, which was recently awarded a $2 million grant from the NIH, aims to develop rapid and scalable handheld devices that could spot people with COVID-19 based on the disease’s unique odor profile.
Dogs and devices that can detect diseases
Long before “coronavirus” entered into the vernacular, Johnson was collaborating with Cynthia Otto, director of the Penn Vet Working Dog Center, and Monell Chemical Senses Center’s George Preti to diagnose diseases using odor. Diseases are known to alter a number of physical processes, including body odors, and the goal of the collaboration was to develop new ways to detect the volatile organic compounds (VOCs) that were unique to ovarian cancer.
The next step is to scale down the current device, and the researchers are aiming to develop a prototype for testing on patients within the next year.
Since 2012, the researchers have been developing new ways to diagnose early-stage ovarian cancer. Otto trained dogs to recognize blood plasma samples from patients with ovarian cancer using their acute sense of smell. Preti, who passed away last March, was looking for the specific VOCs that gave ovarian cancer a unique odor. Johnson developed a sensor array, an electronic version of the dog’s nose, made of carbon nanotubes interwoven with single-stranded DNA. This device binds to VOCs and can determine samples that came from patients with ovarian cancer.
Last spring, as the pandemic’s threat became increasingly apparent, Johnson and Otto shifted their efforts to see if they could train their disease-detecting devices and dogs to spot patients with COVID-19.
N.B.: A.T. Charlie Johnson, Rebecca W. Bushnell Professor of Physics and Astronomy at the Penn School of Arts & Sciences, and Lyle Ungar, Professor in Computer and Information Science at Penn Engineering and Psychology at the School of Arts & Sciences, are both members of the Penn Bioengineering Graduate Group.
Audrey Bowden, PhD, Associate Professor of Biomedical Engineering. (Vanderbilt University / Steve Green)
Speaker: Audrey Bowden, Ph.D.
Dorothy J. Wingfield Phillips Chancellor’s Faculty Fellow and Associate Professor of Biomedical Engineering and Electrical Engineering & Computer Science
Vanderbilt University
Date: Thursday, November 19, 2020
Time: 3:00-4:00 PM EST
Zoom – check email for link or contact ksas@seas.upenn.edu
Title: “Emerging Technologies for Detection of Early Stage Bladder Cancer”
Abstract:
Bladder cancer (BC) — the 4th most common cancer in men and the most expensive cancer to treat over a patient’s lifetime — is a lifelong burden to BC patients and a significant economic burden to the U.S. healthcare system. The high cost of BC stems largely from its high recurrence rate (>50%); hence, BC management involves frequent surveillance. Unfortunately, the current in-office standard-of-care tool for BC surveillance, white light cystoscopy (WLC), is limited by low sensitivity and specificity for carcinoma in situ (CIS), a high-grade carcinoma with high potential to metastasize. Early detection and complete eradication of CIS are critical to improve treatment outcomes and to minimize recurrence. The most promising macroscopic technique to improve sensitivity to CIS detection, blue light cystoscopy (BLC), is costly, time-intensive, has low availability and a high false-positive rate. Given the limitations of WLC, we aim to change the paradigm around how BC surveillance is performed by validating new tools with high sensitivity and specificity for CIS that are appropriate for in-office use. In this seminar, I discuss our innovative solutions to improve mapping the bladder for longitudinal tracking of suspicious lesions and to create miniature tools for optical detection based on optical coherence tomography (OCT). OCT and its functional variant, cross-polarized OCT, can detect early-stage BC with better sensitivity and specificity than WLC. We discuss the critical technical innovations necessary to make OCT and CP-OCT a practical tool for in-office use, and new results from recent explorations of human bladder samples that speak to the promise of this approach to change the management of patient care.
Bio:
Audrey K. Bowden is the Dorothy J. Wingfield Phillips Chancellor Faculty Fellow and Associate Professor of Biomedical Engineering (BME) and of Electrical Engineering and Computer Science (EECS) at Vanderbilt University. Prior to this, she served as Assistant and later Associate Professor of Electrical Engineering and Bioengineering at Stanford University. Dr. Bowden received her BSE in Electrical Engineering from Princeton University, her PhD in BME from Duke University and completed her postdoctoral training in Chemistry and Chemical Biology at Harvard University. During her career, Dr. Bowden served as an International Fellow at Ngee Ann Polytechnic in Singapore. From 2007-2008, she was the Arthur H. Guenther Congressional Fellow sponsored by the OSA and SPIE and served as a Legislative Assistant in the United States Senate through the AAAS Science and Technology Policy Fellows Program. Dr. Bowden is a Fellow of SPIE, a Fellow of AIMBE and is the recipient of numerous awards, including the Air Force Young Investigator Award, the NSF Career Award, the Hellman Faculty Scholars Award, the Phi Beta Kappa Teaching Award, Ford Foundation Postdoctoral Fellowship, and the NSBE Golden Torch Award. She is a former Associate Editor of IEEE Photonics Journal, former Lead Guest Editor of a Biomedical Optics Express Special Issue and is a member of numerous professional committees. Her research interests include biomedical optics – particularly optical coherence tomography and near infrared spectroscopy – microfluidics, and point of care diagnostics.
Rising Bioengineering Sophomore Catherine Michelluti (BSE 2023) has been featured on Penn’s SNF Paideia Program Instagram which discusses her diverse interests in machine learning in medicine, computer science, playing the violin and more. Catherine is a pre-med student who is pursuing an uncoordinated dual degree between the School of Engineering and Applied Science and the Wharton School of Business (BS in Economics 2023). She is also an incoming fellow in the SNF Paideia Program, which is supported by the Stavros Niarchos Foundation, is an interdisciplinary program which “encourage[s] the free exchange of ideas, civil and robust discussion of divergent views, and the integration of individual and community wellness, service, and citizenship through SNF Paideia designated courses, a fellows program, and campus events” (SNF Paideia website).
In May, Lyle Ungar, Professor of Computer and Information Science and Angela Duckworth, Rosa Lee and Egbert Chang Professor in Penn Arts & Sciences and the Wharton School, contributed to a New York Times op-ed on how to slow the COVID-19 pandemic through a culture of mask-wearing.
As infections continue to rise, Ungar and Duckworth are following up with another op-ed. Writing in the Philadelphia Inquirer, they outline the need to rapidly ramp-up the city and state’s contact tracing capacity:
Guidelines from health officials suggest Pennsylvania needs about 4,000 contact tracers, including 2,000 for the Philadelphia metro area. Our state has been operating with fewer than 200.
In a Q&A, researcher Lyle Ungar discusses why counties that frequently use words like ‘love’ aren’t necessarily happier, plus how techniques from this work led to a real-time COVID-19 wellness map.
By Michele W. Berger
Lyle Ungar, Ph.D. (Photo: Eric Sucar)
People in different areas across the United States reacted differently to the threat of COVID-19. Some imposed strict restrictions, closing down most businesses deemed nonessential; others remained partially open.
Such regional distinctions are relatively easy to quantify, with their effects generally understandable through the lens of economic health. What’s harder to grasp is the emotional satisfaction and happiness specific to each place, a notion Penn’s World Well-Being Project has been working on for more than five years.
In 2017, the group published the WWBP Map, a free, interactive tool that displays characteristics of well-being by county based on Census data and billions of tweets. Recently, WWBP partnered with Penn Medicine’s Center for Digital Health to create a COVID map, which reveals in real time how people across the country perceive COVID-19 and how it’s affecting their mental health.
That map falls squarely in line with a paper published this week in the Proceedings of the National Academy of Sciences by computer scientist Lyle Ungar, one of the principal investigators of the World Well-Being Project, and colleagues from Stanford University, Stony Brook University, the National University of Singapore, and the University of Melbourne.
By analyzing 1.5 billion tweets and controlling for common words like “love” or “good,” which frequently get used to connote a missing aspect of someone’s life rather than a part that’s fulfilled, the researchers found they could discern subjective well-being at the county level. “We have a long history of collecting people’s language and asking people who are happier or sadder what words they use on Facebook and on Twitter,” Ungar says. “Those are mostly individual-level models. Here, we’re looking at community-level models.”
In a conversation with Penn Today, Ungar describes the latest work, plus how it’s useful in the time of COVID-19 and social distancing.
