Bioengineering Round-Up (December 2019)

by Sophie Burkholder

Positive results in first-in-U.S. trial of CRISPR-edited immune cells

3D render of the CRISPR-Cas9 genome editing system

Genetically editing a cancer patient’s immune cells using CRISPR/Cas9 technology, then infusing those cells back into the patient appears safe and feasible based on early data from the first-ever clinical trial to test the approach in humans in the United States. Researchers from the Abramson Cancer Center have infused three participants in the trial thus far—two with multiple myeloma and one with sarcoma—and have observed the edited T cells expand and bind to their tumor target with no serious side effects related to the investigational approach. Penn is conducting the ongoing study in cooperation with the Parker Institute for Cancer Immunotherapy and Tmunity Therapeutics.

“This trial is primarily concerned with three questions: Can we edit T cells in this specific way? Are the resulting T cells functional? And are these cells safe to infuse into a patient? This early data suggests that the answer to all three questions may be yes,” says the study’s principal investigator Edward A. Stadtmauer, section chief of Hematologic Malignancies at Penn. Stadtmauer will present the findings next month at the 61st American Society of Hematology Annual Meeting and Exposition.

Read the rest of the story on Penn Today.

Tulane researchers join NIH HEAL initiative for research into opioid crisis

A Tulane University professor and researcher of biomedical engineering will join fellow researchers from over 40 other institutions in the National Institute of Health’s Help to End Addiction Long-Term (HEAL) Initiative. Of the $945 million that make up the project, Michael J. Moore, Ph.D. will receive a share of $1.2 million to advance research in modeling human pain through computer chips, with the help of fellow Tulane researchers Jeffrey Tasker, Ph.D., and James Zadina, Ph.D., each with backgrounds in neuroscience.

Because of the opioid epidemic sweeping the nation, Moore notes that there’s a rapid search going on to develop non-addictive painkiller options. However, he also sees a gap in adequate models to test those new drugs before human clinical trials are allowed to take place. Here is where he hopes to step in and bring some innovation to the field, by integrating living human cells into a computer chip for modeling pain mechanisms. Through his research, Moore wants to better understand not only how some drugs can induce pain, but also how patients can grow tolerant to some drugs over time. If successful, Moore’s work will lead to a more rapid and less expensive screening option for experimental drug advancements.

New machine learning-assisted microscope yields improved diagnostics

Researchers at Duke University recently developed a microscope that uses machine learning to adapt its lighting angles, colors, and patterns for diagnostic tests as needed. Most microscopes have lighting tailored to human vision, with an equal distribution of light that’s optimized for human eyes. But by prioritizing the computer’s vision in this new microscope, researchers enable it to see aspects of samples that humans simply can’t, allowing for a more accurate and efficient diagnostic approach.

Led by Roarke W. Horstmeyer, Ph.D., the computer-assisted microscope will diffuse light through a bowl-shaped source, allowing for a much wider range of illumination angles than traditional microscopes. With the help of convolutional neural networks — a special kind of machine learning algorithm — Horstmeyer and his team were able to tailor the microscope to accurately diagnose malaria in red blood cell samples. Where human physicians typically perform similar diagnostics with a rate of 75 percent accuracy, this new microscope can do the same work with 90 percent accuracy, making the diagnostic process for many diseases much more efficient.

Case Western Reserve University researchers create first-ever holographic map of brain

A Case Western Reserve University team of researchers recently spearheaded a project in creating an interactive holographic mapping system of the human brain. The design, which is believed to be the first of its kind, involves the use of the Microsoft HoloLens mixed reality platform. Lead researcher Cameron McIntyre, Ph.D., sees this mapping system as a better way of creating holographic navigational routes for deep brain stimulation. Recent beta tests with the map by clinicians give McIntyre hope that the holographic representation will help them better understand some of the uncertainties behind targeted brain surgeries.

More than merely providing a useful tool, McIntyre’s project also brings together decades’ worth of neurological data that has not yet been seriously studied together in one system. The three-dimensional atlas, called “HoloDBS” by his lab, provides a way of finally seeing the way all of existing neuro-anatomical data relates to each other, allowing clinicians who use the tool to better understand the brain on both an analytical and visual basis.

Implantable cancer traps reduce biopsy incidence and improve diagnostic

Biopsies are one of the most common procedures used for cancer diagnostics, involving a painful and invasive surgery. Researchers at the University of Michigan are trying to change that. Lonnie Shea, Ph.D., a professor of biomedical engineering at the university, worked with his lab to develop implants with the ability to attract any cancer cells within the body. The implant can be inserted through a scaffold placed under the patient’s skin, making it a more ideal option than biopsy for inaccessible organs like lungs.

The lab’s latest work on the project, published in Cancer Research, details its ability to capture metastatic breast cancer cells in vivo. Instead of needing to take biopsies from areas deeper within the body, the implant allows for a much simpler surgical procedure, as biopsies can be taken from the implant itself. Beyond its initial diagnostic advantages, the implant also has the ability to attract immune cells with tumor cells. By studying both types of cells, the implant can give information about the current state of cancer in a patient’s body and about how it might progress. Finally, by attracting tumor and immune cells, the implant has the ability to draw them away from the area of concern, acting in some ways as a treatment for cancer itself.

People and Places

Cesar de la Fuente-Nunez, PhD

The Philadelphia Inquirer recently published an article detailing the research of Penn’s Presidential Assistant Professor in Psychiatry, Microbiology, and Bioengineering, Cesar de la Fuente, Ph.D. In response to a growing level of worldwide deaths due to antibiotic-resistant bacteria, de la Fuente and his lab use synthetic biology, computation, and artificial intelligence to test hundreds of millions of variations in bacteria-killing proteins in the same experiment. Through his research, de la Fuente opens the door to new ways of finding and testing future antibiotics that might be the only viable options in a world with an increasing level of drug-resistant bacteria

Emily Eastburn, a Ph.D. candidate in Bioengineering at Penn and a member of the Boerckel lab of the McKay Orthopaedic Research Laboratory, recently won the Ashton fellowship. The Ashton fellowship is an award for postdoctoral students in any field of engineering that are under the age of 25, third-generation American citizens, and residents of either Pennsylvania or New Jersey. A new member of the Boerckel lab, having joined earlier this fall, Eastburn will have the opportunity to conduct research throughout her Ph.D. program in the developmental mechanobiology and regeneration that the Boerckel lab focuses on.

Cesar de la Fuente ‘Trends in Immunology’ Literature Review

by Sophie Burkholder

 

Cesar de la Fuente, PhD

Cesar de la Fuente, Ph.D., a Presidential Assistant Professor in Psychiatry, Microbiology, and Bioengineering at Penn, recently published a literature review in Trends in Immunology entitled, “Emerging Frontiers in Microbiome Engineering.” The microbiome, in simple terms, consists of the genetic material of microorganisms in the gut, including bacteria, fungi, protozoa,  viruses, and oral, vaginal, and skin microbiomes. Each human has a unique microbiome that depends both on predetermined factors like exposure to microorganisms within a mother’s birth canal or breastmilk in early life as well as environmental factors and diet in later life. The health of someone’s microbiome is extremely important, as an unhealthy microbiome with an imbalance of symbiotic and pathogenic microbes can make a person more susceptible to various diseases. The most common diseases or disorders associated with a problematic microbiome are rather far-reaching, including some of the most afflicting diseases of today like inflammatory bowel disease, diabetes, obesity, cardiovascular diseases, and neurological disorders.

In his recent literature review, de la Fuente provides an overview of microbiome engineering, and what the future might hold for the field. He defines microbiome engineering initially as a way of studying the “contribution of individual microbes and generating potential therapies against metabolic, inflammatory, and immunological diseases.” Currently, most treatments for issues with the microbiome are broad solutions like dietary adjustments to include more probiotics, antibiotics, or prebiotics, while more serious cases may require a fecal microbiota transplant. While these therapies may work for some patients, de la Fuente emphasizes the need for greater specificity in treatment targets and a need for precision in reprogramming existing microbial communities as an alternative to transplants.

De la Fuente highlights the current methods and tools in microbiome engineering such as the use of bacteriocins and bacteriophages to knock out specific bacteria within the microbiome. However, there are very few bacteriocins or bacteriophages commercially available on today’s market. Another common approach to microbiome engineering is in synthetic biology, or the use of “chassis” — a type of cell that maintains DNA constructs for different functions — to engineering interactions within the microbiome. De la Fuente continues his discussion of current methods by naming and describing several specific examples of these approaches, particularly in relation to synthetic biology options before moving on to examine future directions for these methods.

Before bringing up potential new frontiers for microbiome engineering, de la Fuente also outlines the way that microbiome engineering works in the first place, and dedicates sections of the review to the microbiome’s influence on its host’s immune system and how to engineer the microbiome to modulate that immune system. The main future methods for microbiome engineering that de la Fuente points out in his review include more precise regulation of gene expression through commensal organisms and the use of CRISPRi to find genes involved in bacterial maintenance. The conclusion of de la Fuente’s review brings up the notion of new personalized medicine or therapy for the microbiome that could come with further advances in the field. However, he also makes sure to bring up some still-outstanding questions about the human microbiome that require further research, most notably, what exactly makes a healthy human microbiome? Here’s hoping the research de la Fuente mentions can illuminate a path to the answer.

Penn Engineers Coax White Blood Cells to Crawl Upstream, Enabling Faster Route to Infections

When the immune system detects a foreign pathogen, a cascade of chemical signals call white blood cells to the scene. Neutrophils are the most common and abundant type of these cells and while they start accumulating at the site of an infection within minutes, they are essentially at the mercy of the circulatory system’s one-way flow of traffic to get them where they need to go.

Now, research from the University of Pennsylvania’s School of Engineering and Applied Science shows how these cells can be coaxed to fight the direction of blood flow, crawling upstream along the walls of veins and arteries.

The in vitro study suggested that this technique could get neutrophils to the sites of infections faster when they are restricted to the direction of blood flow.

Alexander Buffone and Daniel Hammer

Daniel A. Hammer, Alfred G. and Meta A. Ennis Professor in the Department of Bioengineering, and Alexander Buffone, Jr., a research associate in his lab, led the research. Nicholas R. Anderson, a graduate student in the Hammer lab, also contributed to the study.

They published their findings in Biophysical Journal.

Read the full post on the Penn Engineering Blog.

How to Build Your Own Makerspace for Under $1500

By Sophie Burkholder

As technology and hands-on activities continue to become a larger part of education at all levels, a new movement of do-it-yourself projects is on the rise. Known as the “MakerSpace Movement,” the idea is that with the use of devices like 3-D printers, laser cutters, and simple circuitry materials, students, classes and communities can apply topics discussed in the classroom to real-life projects. Especially popular among STEM educators, the MakerSpace Movement is one that’s taken over labs in engineering schools around the country. Here at Penn, our own Stephenson Foundation Bioengineering Educational Lab and Bio-MakerSpace is equipped with all of the tools needed to bring student designs to fruition. In particular, the Stephenson Lab is the only lab on Penn’s campus that is open to all students and has both mechanical and electrical rapid prototyping equipment, as well as tools for biological and chemistry work.

Though Penn helps to fund the lab’s operation, many of the technologies and materials used in the Stephenson Lab and Bio-MakerSpace to help students throughout different class and independent projects are actually relatively affordable. Sevile Mannickarottu, Director of the Educational Laboratories, recently presented a paper describing the innovations and opportunities available to students through the MakerSpace attributes of the lab.

The Stephenson Lab mostly looks to support bioengineering majors, particularly in their lab courses and seniors design projects, but also encourages students of all disciplines to use the space for whatever MakerSpace-inspired ideas they might have, whether it be fixing a bike or measuring EMG signals for use in a mechanical engineering design.

Believe it or not, however, some of the best parts of the Bio-MakerSpace can actually be purchased for a total of under $1500. Though that number is probably far beyond the individual budget of most students, it might be more affordable for a student club or dorm floor that receives additional funding from Penn. While the idea of building a MakerSpace from nothing might sound intimidating, the popularity of the movement actually helps to provide a wide range of technology and affordable options.

One of the hallmarks of the MakerSpace at the Stephenson Lab, and of any MakerSpace, is the 3-D printer. Certainly, the highest quality 3-D printers on the market are incredibly expensive, but the ones used in the Stephenson Lab are actually only $750 per printer. Even better, most spools of the PLA filaments used in printers like this one can be found online for under a price of $30 each. With access to free CAD-modeling services like OpenScad and SketchUp, all you need is a computer to start 3-D printing on your own.

But if you can’t afford a 3-D printer, or want to add more electric components to the plastic designs the printer can make, the Stephenson Lab also has NI myDAQ devices, external power sources, wires, resistors, voltage meters, Arduino kits, and other equipment that can all be purchased by students for less than $500.

The most expensive device is the NI myDAQ, which costs $200 for students, but $400 for everyone else. With access to software that includes a digital multimeter, oscilloscope, function generator, Bode analyzer, and several other applications, the myDAQ is essential to any project that involves data with electronic signals. But even without the myDAQ, components like breadboards, wire cutters, resistors, voltage regulators, and all of the other basic elements of circuitry can typically be found online for a total price of under $100.

The Stephenson Lab also provides students with Arduino Kits, which are a combination of hardware and software in circuitry and programming that can be purchased for under $100 from the Arduino website. With sensors, breadboards, and other essential circuit elements, the Arduino Kits also allow users to control their designs through a software code that corresponds to hands-on setup. Particularly for those new to understanding the relationship between codes and circuitry, an Arduino Kit can be a great place to start.

Using all of these items, you can easily start your own MakerSpace for under $1500, especially if you can take advantage of student pricing. At the heart of the MakerSpace movement is the notion that anyone, anywhere can bring their own ideas and innovations to reality with the right equipment. So if you have a project in mind, get started on building your own MakerSpace, with these tools or your own — it’s cheaper than you’d think!

Penn Engineers Devise Easier Way of Sneaking Antibodies into Cells

Getting a complex protein like an antibody through the membrane of a cell without damaging either is a long-standing challenge in the life sciences. Penn Engineers have found a plug-and-play solution that makes antibodies compatible with the delivery vehicles commonly used to ferry nucleic acids across that barrier.

For almost any conceivable protein, corresponding antibodies can be developed to block it from binding or changing shape, which ultimately prevents it from carrying out its normal function. As such, scientists have looked to antibodies as a way of shutting down proteins inside cells for decades, but there is still no consistent way to get them past the cell membrane in meaningful numbers.

Now, Penn Engineering researchers have figured out a way for antibodies to hitch a ride with transfection agents, positively charged bubbles of fat that biologists routinely use to transport DNA and RNA into cells. These delivery vehicles only accept cargo with a highly negative charge, a quality that nucleic acids have but antibodies lack. By designing a negatively charged amino acid chain that can be attached to any antibody without disrupting its function, they have made antibodies broadly compatible with common transfection agents.

Beyond the technique’s usefulness towards studying intracellular dynamics, the researchers conducted functional experiments with antibodies that highlight the technique’s potential for therapeutic applications. One antibody blocked a protein that decreases the efficacy of certain drugs by prematurely ejecting them from cells. Another blocked a protein involved in the transcription process, which could be an even more fundamental way of knocking out proteins with unwanted effects.

Andrew Tsourkas and Hejia Henry Wang

The study, published in the Proceedings of the National Academy of Sciences, was conducted by Andrew Tsourkas, professor in the Department of Bioengineering, and Hejia Henry Wang, a graduate student in his lab.

Read the full story at the Penn Engineering Medium Blog. Media contact Evan Lerner.

Penn Engineers Solve the Paradox of Why Tissue Gets Stiffer When Compressed

The researchers’ experiments involved making synthetic tissues with artificial “cells.” The fibrin network that surrounds these beads pull on them when compressed; by changing the number of beads in their experimental tissues, the researchers could suss out how cell-fiber interplay contributes to the tissue’s overall properties.

Tissue gets stiffer when it’s compressed. That property can become even more pronounced with injury or disease, which is why doctors palpate tissue as part of a diagnosis, such as when they check for lumps in a cancer screening. That stiffening response is a long-standing biomedical paradox, however: tissue consists of cells within a complex network of fibers, and common sense dictates that when you push the ends of a string together, it loosens tension, rather than increasing it.

Now, in a study published in Nature, University of Pennsylvania’s School of Engineering and Applied Science researchers have solved this mystery by better understanding the mechanical interplay between that fiber network and the cells it contains.

The researchers found that when tissue is compressed, the cells inside expand laterally, pulling on attached fibers and putting more overall tension on the network. Targeting the proteins that connect cells to the surrounding fiber network might therefore be the optimal way of reducing overall tissue stiffness, a goal in medical treatments for everything from cancer to obesity.

Headshots of Paul Janmey and Vivek Shenoy

Paul Janmey and Vivek Shenoy

The study was led by Paul Janmey, Professor in the Perelman School of Medicine’s Department of Physiology and in Penn Engineering’s Department of Bioengineering, and Vivek Shenoy, Eduardo D. Glandt President’s Distinguished Professor in Penn Engineering’s Department of Materials Science and Engineering, Mechanical Engineering and Applied Mechanics, and Bioengineering, along with Anne van Oosten and Xingyu Chen, graduate students in Janmey’s and Shenoy’s labs. Van Oosten is now a postdoctoral fellow at Leiden University in The Netherlands.

Shenoy is Director of Penn’s Center for Engineering Mechanobiology, which studies how physical forces influence the behavior of biological systems; Janmey is the co-director of one of the Center’s working groups, organized around the question, “How do cells adapt to and change their mechanical environment?”

Together, they have been interested in solving the paradox surrounding tissue stiffness.

Read the full story on the Penn Engineering Medium Blog.

Bioengineering Round-Up (October 2019)

by Sophie Burkholder

Innovations in Advancing a Cure for Diabetes

The blue circle is the global symbol for diabetes. Wikimedia Commons.

Diabetes is one of the more common diseases among Americans today, with the American Diabetes Association estimating that approximately 9.5 percent of the population battles the condition today. Though symptoms and causes may vary across types and patients, diabetes generally results from the body’s inability to produce enough insulin to keep blood sugar levels in check. A new experimental treatment from the lab of Sha Jin, Ph.D., a biomedical engineering professor at Binghamton University, aims to use about $1.2 million in recent federal grants to develop a method for pancreatic islet cell transplantation, as those are the cells responsible for producing insulin.

But the catch to this new approach is that relying on healthy donors of these islet cells won’t easily meet the vast need for them in diabetic patients. Sha Jin wants to use her grants to consider the molecular mechanisms that can lead pluripotent stem cells to become islet-like organoids. Because pluripotent stem cells have the capability to evolve into nearly any kind of cell in the human body, the key to Jin’s research is learning how to control their mechanisms and signaling pathways so that they only become islet cells. Jin also wants to improve the eventual culture of these islet cells into three-dimensional scaffolds by finding ways of circulating appropriate levels of oxygen to all parts of the scaffold, particularly those at the center, which are notoriously difficult to accommodate. If successful in her tissue engineering efforts, Jin will not only be able to help diabetic patients, but also open the door to new methods of evolving pluripotent stem cells into mini-organ models for clinical testing of other diseases as well.

A Treatment to Help Others See Better

Permanently crossed eyes, a medical condition called strabismus, affects almost 18 million people in the United States, and is particularly common among children. For a person with strabismus, the eyes don’t line up to look at the same place at the same time, which can cause blurriness, double vision, and eye strain, among other symptoms. Associate professor of bioengineering at George Mason University, Qi Wei, Ph.D., hopes to use almost $2 million in recent funding from the National Institute of Health to treat and diagnose strabismus with a data-driven computer model of the condition. Currently, the most common method of treating strabismus is through surgery on one of the extraocular muscles that contribute to it, but Wei wants her model to eventually offer a noninvasive approach. Using data from patient MRIs, current surgical procedures, and the outcomes of those procedures, Wei hopes to advance and innovate knowledge on treating strabismus.

A Newly Analyzed Brain Mechanism Could be the Key to Stopping Seizures

Among neurological disorders, epilepsy is one of the most common. An umbrella term for a lot of different seizure-inducing conditions, many versions of epilepsy can be treated pharmaceutically. Some, however, are resistant to the drugs used for treatment, and require surgical intervention. Bin He, Ph. D., the Head of the Department of Biomedical Engineering at Carnegie Mellon University, recently published a paper in collaboration with researchers at Mayo Clinic that describes the way that seizures originating at a single point in the brain can be regulated by what he calls “push-pull” dynamics within the brain. This means that the propagation of a seizure through the brain relies on the impact of surrounding tissue. The “pull” he refers to is of the surrounding tissue towards the seizure onset zone, while the “push” is what propagates from the seizure onset zone. Thus, the strength of the “pull” largely dictates whether or not a seizure will spread. He and his lab looked at different speeds of brain rhythms to perform analysis of functional networks for each rhythm band. They found that this “push-pull” mechanism dictated the propagation of seizures in the brain, and suggest future pathways of treatment options for epilepsy focused on this mechanism.

Hyperspectral Imaging Might Provide New Ways of Finding Cancer

A new method of imaging called hyperspectral imaging could help improve the prediction of cancerous cells in tissue specimens. A recent study from a University of Texas Dallas team of researchers led by professor of bioengineering Baowei Fei, Ph.D., found that a combination of hyperspectral imaging and artificial intelligence led to an 80% to 90% level of accuracy in identifying the presence of cancer cells in a sample of 293 tissue specimens from 102 patients. With a $1.6 million grant from the Cancer Prevention and Research Institute of Texas, Fei wants to develop a smart surgical microscope that will help surgeons better detect cancer during surgery.

Fei’s use of hyperspectral imaging allows him to see the unique cellular reflections and absorptions of light across the electromagnetic spectrum, giving each cell its own specific marker and mode of identification. When paired with artificial intelligence algorithms, the microscope Fei has in mind can be trained to specifically recognize cancerous cells based on their hyperspectral imaging patterns. If successful, Fei’s innovations will speed the process of diagnosis, and potentially improve cancer treatments.

People and Places

A group of Penn engineering seniors won the Pioneer Award at the Rothberg Catalyzer Makerthon led be Penn Health-Tech that took place from October 19-20, 2019. SchistoSpot is a senior design project created by students Vishal Tien (BE ‘20), Justin Swirbul (CIS ‘20), Alec Bayliff (BE ‘20), and Bram Bruno (CIS ‘20) in which the group will design a low-cost microscopy dianostic tool that uses computer vision capabilities to automate the diagnosis of schistosomiasis, which is a common parasitic disease. Read about all the winners here.

Virginia Tech University will launch a new Cancer Research Initiative with the hope of creating an intellectual community across engineers, veterinarians, biomedical researchers, and other relevant scientists. The initiative will focus not only on building better connections throughout departments at the university, but also in working with local hospitals like the Carilion Clinic and the Children’s National Hospital in Washington, D.C. Through these new connections, people from all different areas of science and engineering and come together to share ideas.

Associate Professor of Penn Bioengineering Dani Bassett, Ph.D., recently sat down with the Penn Integrates Knowledge University Professor Duncan Watts, Ph.D., for an interview published in Penn Engineering. Bassett discusses the origins of network science, her research in small-world brain networks, academic teamwork, and the pedagogy of science and engineering. You can read the full interview here.

An all-female group of researchers from Northern Illinois University developed a device for use by occupational therapists that can capture three-dimensional images of a patient’s hand, helping to more accurately measure the hand or wrist’s range of motion. The group presented the abstract for their design at this year’s meeting of the Biomedical Engineering Society here in Philadelphia, where Penn students and researchers presented as well.

Students’ Innovative Orthotic Device Wins Rothberg Catalyzer

NB: Penn Bioengineering would like to congratulate one of its current Senior Design teams (Alec Bayliff, Bram Bruno, Justin Swirbul, and Vishal Then) which took home the $500 Pioneer Award at this year’s Rothberg Catalyzer competition this past weekend! Keep reading for more information on the competition, awards, and winners.

Penn Health-Tech’s Rothberg Catalyzer is a two-day makerthon that challenges interdisciplinary student teams to prototype and pitch medical devices that aim to address an unmet clinical need.

The Catalyzer’s third competition was held last weekend and was won by MAR Designs, a team of Mechanical Engineering and Applied Mechanics graduate students: Rebecca Li, Ariella Mansfield and Michael Sobrepera.

MAR Designs took home the top prize of $10,000 for their project, an orthotic device that children with cerebral palsy can more comfortably wear as they sleep.

According to the team’s presentation, existing wrist orthoses “improve function and treat/prevent spasticity. However, patients report that these devices are uncomfortable which leads to lack of compliance and may also prevent patient’s eligibility for surgeries.” MAR Designs’ device initially allows full range of motion, but gradually straightens the wrist as the child is falling asleep.

In second place was Splash Throne. Team members Greg Chen, Nik Evitt, Jake Crawford and Meghan Lockwood proposed a toilet safety frame intended for elderly users. Embedded sensors track basic health information, like weight and heart-rate, as part of a preventative health routine.

Integrated Product Design students Jonah Arheim, Laura Ceccacci, Julia Lin and Alex Wan took third place with ONESCOPE, an untethered, hands-free laproscope designed to make minimally-invasive surgeries faster and safer.

Finally, SchistoSpot took home the Catalyzer’s Pioneer Award. Bioengineering and Computer and Information Science seniors Alec Bayliff, Bram Bruno, Justin Swirbul and Vishal Then designed a low-cost microscopy system that can aid in the diagnosis of the parasitic disease schistosomiasis by detecting eggs in urine samples, eliminating the need for a hospital visit.

The event was made possible by a three-year donation by scientist and entrepreneur Jonathan Rothberg, with the intent of inspiring the next generation of healthcare innovators.

Originally posted on the Penn Engineering Medium blog.

Penn Researchers’ Model Optimizes Brain Stimulation Therapies, Improving Memory in Tests

The researchers’ model involves mapping the connections between different regions of an individual’s brain while they performed a basic memory task, then using that data to predict how electrical stimulation in one region would affect activity throughout the network. Individuals’ improved performance on the same memory task after stimulation suggests the model could eventually be generalized toward a variety of stimulation therapies.

Brain stimulation, where targeted electrical impulses are directly applied to a patient’s brain, is already an effective therapy for depression, epilepsy, Parkinson’s and other neurological disorders, but many more applications are on the horizon. Clinicians and researchers believe the technique could be used to restore or improve memory and motor function after an injury, for example, but progress is hampered by how difficult it is to predict how the entire brain will respond to stimulation at a given region.

In an effort to better personalize and optimize this type of therapy, researchers from the University of Pennsylvania’s School of Engineering and Applied Science and Perelman School of Medicine, as well as Thomas Jefferson University Hospital and the University of California, Riverside, have developed a way to model how a given patient’s brain activity will change in response to targeted stimulation.

To test the accuracy of their model, they recruited a group of study participants who were undergoing an unrelated treatment for severe epilepsy, and thus had a series of electrodes already implanted in their brains. Using each individual’s brain activity data as inputs for their model, the researchers made predictions about how to best stimulate that participant’s brain to improve their performance on a basic memory test.

The participants’ brain activity before and after stimulation suggest the researchers’ models have meaningful predictive power and offer a first step towards a more generalizable approach to specific stimulation therapies.

Danielle Bassett and Jennifer Stiso.

The study, published in the journal Cell Reports, was led by Danielle Bassett, J. Peter Skirkanich Professor in Penn Engineering’s Department of Bioengineering, and Jennifer Stiso, a neuroscience graduate student in Penn Medicine and a member of Bassett’s Complex Systems Lab.

Read the full post on the Penn Engineering Medium blog. Media contact Evan Lerner.

Bioengineering Round-Up (September 2019)

by Sophie Burkholder

A New Sprayable Gel Can Help Prevent Surgical Adhesions

Adhesions are a common kind of scar tissue that can occur after surgery, and though usually not painful, they have the potential to result in complications like chronic pain or decreased heart efficiency, depending on where the scar tissue forms. Now, a sprayable gel developed by researchers at Stanford University will help to prevent adhesions from forming during surgical procedures. The gel, called PNP 1:10 in reference to its polymer-nanoparticle structure, has a similar stiffness to mayonnaise and achieves an ideal balance of slipperiness and stickiness that allows it to adhere easily to tissue of irregular shapes and surfaces. The flexible gel will actually dissolve in the body after two weeks, which is about how long most adhesions take to heal. Though lead author Lyndsay Stapleton, M.S., and senior authors Joseph Woo, M.D., and Eric Appel, Ph.D., have only tested the gel in rats and sheep so far, they hope that human applications are not too far in the future.

Learning to Understand Blood Clots in a New Model

Blood clots are the source of some of the deadliest human conditions and diseases. When a clot forms, blood flow can be interrupted, cutting off supply to the brain, heart, or other vital organs, resulting in potentially serious damage to the mind and body. For patients with certain bleeding disorders, clotting or the lack thereof can hold tremendous importance in surgery, and affect some of the typical procedures of a given operation. To help plan for such situations, researchers at the University of Buffalo created an in vitro model to help better illustrate the complex fluid mechanics of blood flow and clotting. Most importantly, this new model better demonstrates the role of shear stress in blood flow, and the way that it can affect the formation or destruction of blood clots – an aspect that current clinical devices often overlook. Led by Ruogang Zhao, Ph.D., the model can allow surgeons and hematologists to consider the way that certain chemical or physical treatments can affect clot formation on a patient-to-patient basis. The two key factors of the model are its incorporation of blood flow, and its relationship to shear stress, with clot stiffness through microfabrication technology using micropillars as force sensors for the stiffness. Going forward, Zhao and his research team hope to test the model on more patients, to help diversify the different bleeding disorders it can exhibit.

Training the Next Generation of Researchers

REACT 2019 students and Grenoble summer program interns, including undergraduate Rebecca Zappala (third from left, front), pose in front of the Chartreuse Mountains after completing a challenging ropes course. (Photo: Hermine Vincent)

Rebecca Zappala, a junior from Miami, Florida who is majoring in bioengineering, worked in Grenoble this summer on new ways to harvest water from fog. She describes her research project as a “futuristic” way to collect water and says that she’s thankful for the opportunity to work on her first independent research project through the Research and Education in Active Coatings Technology (REACT) program.

After learning the technical skills she needed for her project, Zappala spent her summer independently working on new ways to modify her material’s properties while working closely with her French PI and a post-doc in the lab. She was surprised to see how diverse the lab was, with researchers working on everything from biomolecular research to energy in the same space.

“I learned a lot,” she says about being in such an interdisciplinary setting. “I hadn’t been part of a research team before, and I got a lot of exposure to things that I wouldn’t have been exposed to otherwise.”

Read the rest of the story on Penn Today. 

Virginia Tech Course Addresses the Needs of Wounded Veterans

A new course at Virginia Tech encourages students to apply engineering skills to real-life problems in the biomedical world by designing medical devices or other applications to assist veterans suffering from serious injuries or illnesses. Funded by the National Institute of Health, faculty from the Department of Biomedical Engineering and Mechanics hope that the course will allow students to see how theoretical knowledge from the classroom actually works in a clinical setting, and to understand how different stakeholder interests factor into designing a real device. What makes this new class unique from other traditional design-focused courses at other universities is its level of patient interaction. Students at Virginia Tech who choose to take this class will have the chance to gain input from field professionals like clinicians and engineers from the Salem Veterans Affairs Medical Center, while also being able to get direct feedback from the patients that the devices will actually help. Beginning in the spring of 2020, students can take the new course, and volunteer in the veterans clinics to gain even more experience with patients.

People and Places

Sevile Mannickarottu, the Director of the Educational Laboratories in Penn’s Department of Bioengineering and recent recipient of the Staff Recognition Award from the School of Engineering and Applied Sciences, presented a paper to highlight the Stephenson Foundation Bioengineering Educational Lab and Bio-Makerspace at the 126th annual conference of the American Society for Engineering Education. Thanks to the dedication of Mannickarottu and the lab staff to creating a space for simultaneous education and innovation, the Bioengineering Lab continues to be a hub for student community and projects of all kinds.

A week-long program for high school girls interested in STEM allows students to explore ideas and opportunities in the field through lab tours, guest speakers, and hands-on challenges. A collaboration across the University of Virginia Department of Biomedical Engineering, Charlottesville Women in Tech, and St. Anne’s Belfield School, the program gave this year’s students a chance to design therapies for children with disorders like hemiplegia and cerebral palsy, in the hopes that these interactive design challenges will inspire the girls to pursue future endeavors in engineering.

We would like to congratulate Nancy Albritton, Ph.D., on her appointment as the next Frank & Julie Jungers Dean of the College of Engineering at the University of Washington. Albritton brings both a deep knowledge of the research-to-marketplace pipeline and experience in the development of biomedical microdevices and pharmacoengineering to the new position.

We would also like to congratulate Jeffrey Brock, Ph.D., on his appointment as the dean of the Yale School of Engineering and Applied Science. Already both a professor of mathematics and a dean of science in the Faculty of Arts and Sciences at Yale, Brock’s new position will help him to foster collaborations across different departments of academia and research in science and engineering.