Tag: Perelman

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Kevin Johnson Appointed Penn Integrates Knowledge University Professor

Ron Ozio

Kevin Johnson, Penn’s 27th Penn Integrates Knowledge University Professor.

Kevin Johnson has been named the University of Pennsylvania’s 27th Penn Integrates Knowledge University Professor.

The announcement was made by Penn President Amy Gutmann and Provost Wendell Pritchett.

A pioneer of medical information technologies to improve patient safety, Johnson will hold joint appointments in the Department of Biostatistics, Epidemiology, and Informatics in the Perelman School of Medicine and the Department of Computer and Information Science in the School of Engineering and Applied Science, with secondary appointments in the Annenberg School for Communication and in the Department of Bioengineering. He will also serve as vice president for applied informatics in the University of Pennsylvania Health System and professor of pediatrics at the Children’s Hospital of Philadelphia.

“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.

Originally posted in Penn Today.

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One Step Closer to an At-home, Rapid COVID-19 Test

Created in the lab of César de la Fuente, this miniaturized, portable version of rapid COVID-19 test, which is compatible with smart devices, can detect SARS-CoV-2 within four minutes with nearly 100% accuracy. (Image: Courtesy of César de la Fuente)

The lab of Penn’s César de la Fuente sits at the interface of machines and biology, with much of its work focused on innovative treatments for infectious disease. When COVID-19 appeared, de la Fuente and his colleagues turned their attention to building a paper-based biosensor that could quickly determine the presence of SARS-CoV-2 particles from saliva and from samples from the nose and back of the throat. The initial iteration, called DETECT 1.0, provides results in four minutes with nearly 100% accuracy.

Clinical trials for the diagnostic began Jan. 5, with the goal of collecting 400 samples—200 positive for COVID-19, 200 negative—from volunteers who also receive a RT-PCR or “reverse transcription polymerase chain reaction” test. This will provide a comparison set against which to measure the biosensor to determine whether the results the researchers secured at the bench hold true for samples tested in real time. De la Fuente expects the trial will take about a month.

If all goes accordingly, he hopes these portable rapid breath tests could play a part in monitoring the COVID status of faculty, students, and staff around Penn.

César de la Fuente earned his bachelor’s degree in biotechnology, then a doctorate in microbiology and immunology and a postdoc in synthetic biology and computational biology. Combining these fields led him to the innovative work his lab, the Machine Biology Group, does today. (Photo: Eric Sucar)

Taking on COVID-19 research in this fashion made sense for this lab. “We’re the Machine Biology Group, and we’re interested in existing and emerging pathogens,” says de la Fuente, who has appointments in the Perelman School of Medicine and School of Engineering and Applied Science. “In this case, we’re using a machine to rapidly detect SARS-CoV-2.”

To this point in the pandemic, most SARS-CoV-2 diagnostics have used RT-PCR. Though effective, the technique requires significant space and trained workers to employ, and it is costly and takes hours or days to provide results. De la Fuente felt there was potential to create something inexpensive, quicker, and, perhaps most importantly, scalable.

Continue reading “One Step Closer to an At-home, Rapid COVID-19 Test,” by Michele Berger, at Penn Today.

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Using Lung-on-a-chip Technology to Find Treatments for Chlorine Gas Exposure

Huh’s organ-on-a-chip devices contain human cells, allowing for experiments that could not otherwise be practically or ethically performed.

Chlorine gas is a commonly used industrial chemical. It is also highly toxic and potentially deadly; it was used as a chemical weapon in both World War I and the Syrian Civil War and has led to multiple deaths from industrial accidents. Mixing certain household cleaners can also produce the toxic gas, leading to lasting lung injuries for which there are currently no effective treatments.

Now, researchers at Penn Engineering and Penn’s Perelman School of Medicine are collaborating with BARDA, the U.S. Office of Health and Human Services’ Biomedical Advanced Research and Development Authority, to address this need using their lung-on-a-chip technology.

The laboratory of Dan Huh, associate professor in the Department of Bioengineering, has developed a series of organ-on-a-chip platforms. These devices incorporate human cells into precisely engineered microfluidic channels that mimic an organ’s natural environment, providing a way to conduct experiments that would not otherwise be feasible.

Dan Huh
Dan Huh, PhD

Huh’s previous research has involved using a placenta-on-a-chip to study which drugs are able to reach a developing fetus; investigating microgravity’s effect on the immune system by sending one of his chips to the International Space Station; and testing treatments for dry eye disease using an eye-on-a-chip, complete with a mechanical blinking eyelid.

Read the full story on Penn Engineering Today. Media contact Evan Lerner.

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Brian Litt Receives NIH Pioneer Award to Develop Implantable Neurodevices

Brian Litt, MD

Brian Litt, professor in Engineering’s Department of Bioengineering and the Perelman School of Medicine’s departments of Neurology and Neurosurgery, has received a five-year, $5.6 million Pioneer Award from the National Institutes of Health, which will support his research on implantable devices for monitoring, recording and responding to neural activity.

The Pioneer Award is part of the agency’s High-Risk, High-Reward Research Program honoring exceptionally creative scientists. It challenges investigators to pursue new research directions and develop groundbreaking, high-impact approaches to a broad area of biomedical or behavioral science. Litt’s neurodevice research represents a new frontier in addressing a wide variety of neurological conditions.

In epilepsy, for example, these devices would predict and prevent seizures; in Parkinson’s patients, implants will measure and communicate with patients to improve mobility, reduce tremor and enhance responsiveness. Other implants might improve hearing or psychiatric symptoms by querying patient perceptions, feelings, and altering stimulation patterns algorithmically to improve them

Continue reading about Litt’s Pioneer Award at Penn Medicine News.

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Week in BioE (July 31, 2018)

New Data Analysis Methods

Like many other fields, biomedical research is experiencing a data explosion. Some estimates suggest that the amount of data generated from the health sciences is now doubling every eighteen months, and experts expect it to double every seventy-three days by 2020.  One challenge that researchers face is how to meaningfully analyze this data tsunami.

The challenge of interpreting data occurs at all scales, and a recent collaboration shows how new approaches can allow us to handle the volumes of data emerging at the level of individual cells to infer more about how biology “works” at this level.  Wharton Statistics Department researchers Mo Huang and Jingshu Wang (PhD Student and Postdoctoral Researcher, respectively) collaborated with Arjun Raj’s lab in Bioengineering and published their findings in recent issues of Nature Methods and Proceedings of the National Academy of Sciences.  One study focused on a de-noising technique called SAVER to provide more precise data from single cell experiments and significantly improves the ability to detect trends in a dataset, similar to how increasing sample size helps improve the ability to determine differences between experimental groups.  The second method, termed DESCEND, creates more accurate characterization of gene expression that occur in individual cells. Together these two methods will improve data collection for biologists and medical professionals working  to diagnose, monitor, and treat diseased cells.

Dr. Raj’s team contributed data to the cause and acted as consultants on the biological aspects of this research. Further collaboration involved Mingyao Li, PhD, Professor of Biostatistics at the Perelman School of Medicine, and Nancy Zhang, PD, Professor Statistics at the Wharton School. “We are so happy to have had the chance to work with Nancy and Mingyao on analyzing single cell data,” said Dr. Raj. “The things they were able to do with our data are pretty amazing and important for the field.”

Advancements in Biomaterials

This blog features many new biomaterials techniques and substances, and there are several exciting new developments to report this week. First, the journal of Nature Biomedical Engineering published a study announcing a new therapy to treat or even eliminate lung infections, such as those acquired while in hospital or as the result of cystic fibrosis, which are highly common and dangerous. Researchers identified and designed viruses to target and kill the bacteria which causes these infections, but the difficulty of administering them to patients has proven prohibitive. This new therapy, developed by researchers at the Georgia Institute of Technology, is administered as a dry powder directly to the lungs and bypasses many of the delivery problems appearing in past treatments. Further research on the safety of this method is required before clinical trials can begin.

A team at Harvard University published another recent study in Nature Biomedical Engineering announcing their creation of a tissue-engineered scale model of the left human heart ventricle. This model is made from degradable fibers that simulate the natural fibers of heart tissue. Lead investigator Professor Kevin Kit Parker, PhD, and his team eventually hope to build specific models culled from patient stem cells to replicate the features of that patient’s heart, complete with the patient’s unique DNA and any heart defects or diseases. This replica would allow researchers and clinicians to study and test various treatments before applying them to a specific patient.

Lastly, researchers at the Tufts University School of Engineering published in the Proceedings of the National Academy of Sciences on their creation of flexible magnetic composites that respond to light. This material is capable of macroscale motion and is extremely flexible, allowing its adaptation into a variety of substances such as sponges, film, and hydrogels. Author and graduate student Meg Li explained that this material differs from similar substances in its complexity; for example, in the ability for engineers to dictate specific movements, such as toward or away from the light source. Co-author Fiorenzo Omenetto, PhD, suggests that with further research, these movements could be controlled at even more specific and detailed levels.

CFPS: Getting Closer to “On Demand” Medicine

A recent and growing trend in medicine is the move towards personalized or “on demand” medicine, allowing for treatment customized to specific patients’ needs and situations. One leading method is Cell-Free Protein Synthesis (CFPS), a way of engineering cellular biology without using actual cells. CFPS is used to make substances such as medicine, vaccines, and chemicals in a sustainable and portable way. One instance if the rapid manufacture of insulin to treat diabetic patients. Given that many clinics most in need of such substances are found in remote and under-served locations far away from well-equipped hospitals and urban infrastructure, the ability to safely and quickly create and transport these vital substances to patients is vitally important.

The biggest limiting factor to CFPS is difficulty of replicating Glycosylation, a complex modification that most proteins undergo. Glycosylation is important for proteins to exert their biological function, and is very difficult to synthetically duplicate. Previously, achieving successful Glycosylation was a key barrier in CFPS. Fortunately, Matthew DeLisa, PhD, the Williams L. Lewis Professor of Engineering at Cornell University and Michael Jewett, PD, Associate Professor of Chemical and Biological Engineering at Northwestern University, have created a “single-pot” glycoprotein biosynthesis that allows them to make these critical molecules very quickly. The full study was recently published in Nature Communications. With this new method, medicine is one step closer to being fully “on demand.”

People and Places

The Institute of Electrical and Electronics Engineers (IEEE) interviewed our own Penn faculty member Danielle Bassett, PhD, the Edwardo D. Glandt Faculty Fellow and Associate Professor in Bioengineering, for their website. Dr. Bassett, who shares a joint appointment with Electrical Systems Engineering (ESE) at Penn, has published groundbreaking research in Network Neuroscience, Complex Systems, and more. In the video interview (below), Dr. Bassett discusses current research trends in neuroscience and their applications in medicine.

Finally, a new partnership between Case Western Reserve University and Cleveland Clinic seeks to promote education and research in biomedical engineering in the Cleveland area. Cleveland Clinic Lerner Research Institute‘s Chair of Biomedical Engineering, Geoff Vince, PhD, sees this as an opportunity to capitalize on the renown of both institutions, building on the region’s already stellar reputation in the field of BME. Dozens of researchers from both institutions will have the opportunity to collaborate in a variety of disciplines and projects. In addition to professional academics and medical doctors, the leaders of this new partnership hope to create an atmosphere that can benefit all levels of education, all the way down to high school students.