Advances in cell and molecular technologies are revolutionizing the treatment of cancer, with faster detection, targeted therapies and, in some cases, the ability to permanently retrain a patient’s own immune system to destroy malignant cells.
However, there are fundamental forces and associated challenges that determine how cancer grows and spreads. The pathological genes that give rise to tumors are regulated in part by a cell’s microenvironment, meaning that the physical push and pull of neighboring cells play a role alongside the chemical signals passed within and between them.
The Penn Anti-Cancer Engineering Center (PACE) will bring diverse research groups from the School of Engineering and Applied Science together with labs in the School of Arts & Sciences and the Perelman School of Medicine to understand these physical forces, leveraging their insights to develop new types of treatments and preventative therapies.
The Center’s founding members are Dennis Discher, Robert D. Bent Professor with appointments in the Departments of Chemical and Biomolecular Engineering (CBE), Bioengineering (BE) and Mechanical Engineering and Applied Mechanics (MEAM), and Ravi Radhakrishnan, Professor and chair of BE with an appointment in CBE.
Discher, an expert in mechanobiology and in delivery of cells and nanoparticles to solid tumors, and Radhakrishnan, an expert on modeling physical forces that influence binding events, have long collaborated within the Physical Sciences in Oncology Network. This large network of physical scientists and engineers focuses on cancer mechanisms and develops new tools and trainee opportunities shared across the U.S. and around the world.
Among the PACE Center’s initial research efforts are studies of the genetic and immune mechanisms associated with whether a tumor is solid or liquid and investigations into how physical stresses influence cell signaling.
We are very pleased to announce that ten current and future graduate students in the Department of Bioengineering have received 2021 National Science Foundation Graduate Research Fellowship Program (NSF GRFP) fellowships. The prestigious NSF GRFP program recognizes and supports outstanding graduate students in NSF-supported fields. Further information about the program can be found on the NSF website. BE is thrilled to congratulate our excellent students on these well-deserved accolades! Continue reading below for a list of 2021 recipients and descriptions of their research.
Puneeth Guruprasad is a Ph.D. student in the lab of Marco Ruella, Assistant Professor of Medicine in the Division of Hematology/Oncology and the Center for Cellular Immunotherapies at the Perelman School of Medicine. His work applies next generation sequencing methods to characterize tumors and study the genetic basis of resistance to cancer immunotherapy, namely chimeric antigen receptor (CAR) T cell therapy.
Gabrielle (Gabby) Ho is a Ph.D. student in the lab of Brian Chow, Associate Professor in Bioengineering. She works on design strategies for engineering near-infrared fluorescent proteins and tools.
Abbas Idris is a Master’s student in the lab of Lukasz Bugaj, Assistant Professor in Bioengineering. His work focuses on using optogenetic tools to develop controllable protein assemblies for the study of cell signaling behaviors.
Additionally, seven NSF GRFP honorees from other institutions will be joining our department as Ph.D. students in the fall of 2021. We congratulate them as well and look forward to welcoming them to Penn:
Kinases are a class of enzymes that are responsible for transferring the main chemical energy source used by the body’s cells. As such, they play important roles in diverse cellular processes, including signaling, differentiation, proliferation and metabolism. But since they are so ubiquitous, mutated versions of kinases are frequently found in cancers. Many cancer treatments involve targeting these mutant kinases with specific inhibitors.
Understanding the exact genetic mutations that lead to these aberrant kinases can therefore be critical in predicting the progression of a given patient’s cancer and tailoring the appropriate response.
To achieve this understanding on a more fundamental level, a team of researchers from the University of Pennsylvania’s School of Engineering and Applied Science and Perelman School of Medicine, the Children’s Hospital of Philadelphia (CHOP) and researchers at the Yale School of Medicine’s Cancer Biology Institute, have constructed molecular simulations of a mutant kinase implicated in pediatric neuroblastoma, a childhood cancer impacting the central nervous system.
Using their computational model to study the relationship between single-point changes in the kinase’s underlying gene and the altered structure of the protein it ultimately produces, the researchers revealed useful commonalities in the mutations that result in tumor formation and growth. Their findings suggest that such computational approaches could outperform existing profiling methods for other cancers and lead to more personalized treatments.
The study, published in the Proceedings of the National Academy of Sciences, was led by Ravi Radhakrishnan, Professor and chair of Penn Engineering’s Department of Bioengineering and professor in its Department of Chemical and Biomolecular Engineering, and Mark A. Lemmon, Professor of Pharmacology at Yale and co-director of Yale’s Cancer Biology Institute. The study’s first authors were Keshav Patil, a graduate student in Penn Engineering’s Department of Chemical and Biomolecular Engineering, along with Earl Joseph Jordan and Jin H. Park, then members of the Graduate Group in Biochemistry and Molecular Biology in Penn’s Perelman School of Medicine. Krishna Suresh, an undergraduate student in Radhakrishnan’s lab, Courtney M. Smith, a graduate student in Lemmon’s lab, and Abigail A. Lemmon, an undergraduate in Lemmon’s lab, contributed to the study. They collaborated with Yaël P. Mossé, Associate Professor of Pediatrics at Penn Medicine and in the division of oncology at CHOP.
“Some cancers rely on the aberrant activation of a single gene product for tumor initiation and progression,” says Radhakrishnan. “This unique mutational signature may hold the key to understanding which patients suffer from aggressive forms of the disease or for whom a given therapeutic drug may yield short- or long-term benefits. Yet, outside of a few commonly occurring ‘hotspot’ mutations, experimental studies of clinically observed mutations are not commonly pursued.”
Ravi Radhakrishnan, Professor and Chair of the Department of Bioengineering and Professor in Chemical and Biomolecular Engineering, is among the many faculty who quickly adapted their courses to an online format in the wake of the COVID-19 pandemic. Now, a recent publication in the American Institute of Chemical Engineers (AIChE) Journal reflects one of these revamped courses. The course BE 559: “Multiscale Modeling of Chemical and Biological Systems” provides theoretical, conceptual, and hands-on modeling experience on three different length and time scales: (1) electronic structure (A, ps); (2) molecular mechanics (100A, ns); and (3) deterministic and stochastic approaches for microscale systems (um, sec). During the course, students gained hands-on experience in running codes on real applications together with the following theoretical formalisms: molecular dynamics, Monte Carlo, free energy methods, deterministic and stochastic modeling. The transition to the online format was greatly facilitated by a grant from the Extreme Science and Engineering Discovery Environment (XSEDE) which provided cloud and supercomputing resources to the students facilitating the computational laboratory experience. Radhakrishnan’s article, “A survey of multiscale modeling: Foundations, historical milestones, current status, and future prospects,” reviews the foundations, historical developments, and current paradigms in multiscale modeling (MSM).
Huwe earned dual B.S. degrees in Biology and Chemistry in 2009 from Mississippi College, where he was inducted into the Hall of Fame. At Mississippi College, Huwe had his first exposure to computational research in the laboratory of David Magers, Professor of Chemistry and Biochemistry. He went on to earn his Ph.D. in Biochemistry and Molecular Biophysics in 2014 in the laboratory of Ravi Radhakrishnan, Chair of the Bioengineering Department at Penn. As an NSF Graduate Research Fellow in Radhakrishnan’s lab, Huwe focused his research on using computational molecular modeling and simulations to elucidate the functional consequences of protein mutations associated with human diseases. Dr. Huwe then joined the structural bioinformatics laboratory Roland Dunbrack, Jr., Professor at the Fox Chase Cancer Center as a T32 post-doctoral trainee. During his post-doctoral training, Huwe held adjunct teaching appointments at Thomas Jefferson University and at the University of Pennsylvania. In 2017, Huwe became an Assistant Professor of Biology at Temple University, where he taught medical biochemistry, medical genetics, cancer biology, and several other subjects.
During each of his appointments, Huwe became increasingly more passionate about teaching, and he decided to dedicate his career to medical education. Huwe is very excited to be joining Mercer University School of Medicine as an Assistant Professor of Biomedical Sciences this summer. There, he will serve in a medical educator track, primarily teaching first and second year medical students.
“Without Ravi Radhakrishnan and Philip Rea, Professor of Biology in Penn’s School of Arts & Sciences, giving me my first teaching opportunities as a graduate guest lecturer at Penn, I may never have discovered how much I love teaching,” says Huwe. “And without the support and guidance of each of my P.I.’s [Dr.’s Magers, Radhakrishnan, and Dunbrack], I certainly would not be where I am, doing what I love. I am incredibly thankful for all of the people who helped me in my journey to find my dream job.”
Congratulations and best of luck from everyone in Penn Bioengineering, Dr. Huwe!
In response to the unprecedented challenges presented by the global outbreak of the novel coronavirus SARS-CoV-2, Penn Bioengineering’s faculty, students, and staff are finding innovative ways of pivoting their research and academic projects to contribute to the fight against COVID-19. Though these projects are all works in progress, I think it is vitally important to keep those in our broader communities informed of the critical contributions our people are making. Whether adapting current research to focus on COVID-19, investing time, technology, and equipment to help health care infrastructure, or creating new outreach and educational programs for students, I am incredibly proud of the way Penn Bioengineering is making a difference. I invite you to read more about our ongoing projects below.
Novel Chest X-Ray Contrast
David Cormode, Associate Professor of Radiology and Bioengineering
The Cormode and Noel labs are working to develop dark-field X-ray imaging, which may prove very helpful for COVID patients. It involves fabricating diffusers that incorporate gold nanoparticles to modify the X-ray beam. This method gives excellent images of lung structure. Chest X-ray is being used on the front lines for COVID patients, and this could potentially be an easy to implement modification of existing X-ray systems. The additional data give insight into the health state of the microstructures (alveoli) in the lung. This new contrast mechanics could be an early insight into the disease status of COVID-19 patients. For more on this research, see Cormode and Noel’s chapter in the forthcoming volume Spectral, Photon Counting Computed Tomography: Technology and Applications, edited by Katsuyuki Taguchi, Ira Blevis, and Krzysztof Iniewski (Routledge 2020).
Computational Models for Targeting Acute Respiratory Distress Syndrome (ARDS). The severe forms of COVID-19 infections resulting in death proceeds by the propagation of the acute respiratory distress syndrome or ARDS. In ARDS, the lungs fill up with fluid preventing oxygenation and effective delivery of therapeutics through the inhalation route. To overcome this major limitation, delivery of antiinflammatory drugs through the vasculature (IV injection) is a better approach; however, the high injected dose required can lead to toxicity. A group of undergraduate and postdoctoral researchers in the Radhakrishnan Lab (Emma Glass, Christina Eng, Samaneh Farokhirad, and Sreeja Kandy) are developing a computational model that can design drug-filled nanoparticles and target them to the inflamed lung regions. The model combines different length-scales, (namely, pharmacodynamic factors at the organ scale, hydrodynamic and transport factors in the tissue scale, and nanoparticle-cell interaction at the subcellular scale), into one integrated framework. This targeted approach can significantly decrease the required dose for combating ARDS. This project is done in collaboration with Clinical Scientist Dr. Jacob Brenner, who is an attending ER Physician in Penn Medicine. This research is adapted from prior findings published in Volume 13, Issue 4 of Nanomedicine: Nanotechnology, Biology and Medicine: “Mechanisms that determine nanocarrier targeting to healthy versus inflamed lung regions” (May 2017).
Sydney Shaffer, Assistant Professor of Bioengineering and Pathology and Laboratory Medicine
Arjun Raj, David Issadore, and Sydney Shaffer are working on developing an integrated, rapid point-of-care diagnostic for SARS-CoV-2 using single molecule RNA FISH. The platform currently in development uses sequence specific fluorescent probes that bind to the viral RNA when it is present. The fluorescent probes are detected using a iPhone compatible point-of-care reader device that determines whether the specimen is infected or uninfected. As the entire assay takes less than 10 minutes and can be performed with minimal equipment, we envision that this platform could ultimately be used for screening for active COVID19 at doctors’ offices and testing sites. Support for this project will come from a recently-announced IRM Collaborative Research Grant from the Institute of Regenerative Medicine with matching funding provided by the Departments of Bioengineering and Pathology and Laboratory Medicine in the Perelman School of Medicine (PSOM) (PI’s: Sydney Shaffer, Sara Cherry, Ophir Shalem, Arjun Raj). This research is adapted from findings published in the journal Lab on a Chip: “Multiplexed detection of viral infections using rapid in situ RNA analysis on a chip” (Issue 15, 2015). See also United States Provisional Patent Application Serial No. 14/900,494 (2014): “Methods for rapid ribonucleic acid fluorescence in situ hybridization” (Inventors: Raj A., Shaffer S.M., Issadore D.).
HEALTH CARE INFRASTRUCTURE
Penn Health-Tech Coronavirus COVID-19 Collaborations
Brian Litt, Professor of Bioengineering, Neurology, and Neurosurgery
In his role as one of the faculty directors for Penn Health-Tech, Professor Brian Litt is working closely with me to facilitate all the rapid response team initiatives, and in helping to garner support the center and remove obstacles. These projects include ramping up ventilator capacity and fabrication of ventilator parts, the creation of point-of-care ultrasounds and diagnostic testing, evaluating processes of PPE decontamination, and more. Visit the Penn Health-Tech coronavirus website to learn more, get involved with an existing team, or submit a new idea.
Dr. Maltese is rapidly developing a low-cost ventilator that could be deployed in Penn Medicine for the expected surge, and any surge in subsequent waves. This design is currently under consideration by the FDA for Emergency Use Authorization (EUA). This example is one of several designs considered by Penn Medicine in dealing with the patient surge.
David F. Meaney, Solomon R. Pollack Professor of Bioengineering and Senior Associate Dean
Led by David Meaney, Kevin Turner, Peter Bruno and Mark Yim, the face shield team at Penn Health-Tech is working on developing thousands of rapidly producible shields to protect and prolong the usage of Personal Protective Equipment (PPE). Learn more about Penn Health-Tech’s initiatives and apply to get involved here.
Update 4/29/20: The Penn Engineering community has sprung into action over the course of the past few weeks in response to COVID-19. Dr. Meaney shared his perspective on those efforts and the ones that will come online as the pandemic continues to unfold. Read the full post on the Penn Engineering blog.
OUTREACH & EDUCATION
Student Community Building
Yale Cohen, Professor of Otorhinolaryngology, Department of Psychology, BE Graduate Group Member, and BE Graduate Chair
Yale Cohen, and Penn Bioengineering’s Graduate Chair, is working with Penn faculty and peer institutions across the country to identify intellectually engaging and/or community-building activities for Bioengineering students. While those ideas are in progress, he has also worked with BE Department Chair Ravi Radhakrishnan and Undergraduate Chair Andrew Tsourkas to set up a dedicated Penn Bioengineering slack channel open to all Penn Bioengineering Undergrads, Master’s and Doctoral Students, and Postdocs as well as faculty and staff. It has already become an enjoyable place for the Penn BE community to connect and share ideas, articles, and funny memes.
Undergraduate Course: Biotechnology, Immunology, Vaccines and COVID-19 (ENGR 35)
Daniel A. Hammer, Alfred G. and Meta A. Ennis Professor of Bioengineering and Chemical and Biomolecular Engineering
This Summer Session II, Professor Dan Hammer and CBE Senior Lecturer Miriam R. Wattenbarger will teach a brand-new course introducing Penn undergraduates to a basic understanding of biological systems, immunology, viruses, and vaccines. This course will start with the fundamentals of biotechnology, and no prior knowledge of biotechnology is necessary. Some chemistry is needed to understand how biological systems work. The course will cover basic concepts in biotechnology, including DNA, RNA, the Central Dogma, proteins, recombinant DNA technology, polymerase chain reaction, DNA sequencing, the functioning of the immune system, acquired vs. innate immunity, viruses (including HIV, influenza, adenovirus, and coronavirus), gene therapy, CRISPR-Cas9 editing, drug discovery, types of pharmaceuticals (including small molecule inhibitors and monoclonal antibodies), vaccines, clinical trials. Some quantitative principles will be used to quantifying the strength of binding, calculate the dynamics of enzymes, writing and solving simple epidemiological models, methods for making and purifying drugs and vaccines. The course will end with specific case study of coronavirus pandemic, types of drugs proposed and their mechanism of action, and vaccine development.
Update 4/29/20: Read the Penn Engineering blog post on this course published April 27, 2020.
Konrad Kording, Penn Integrates Knowledge University Professor of Bioengineering, Neuroscience, and Computer and Information Science
Dr. Kording facilitated Neuromatch 2020, a large virtual neurosciences conferences consisting of over 3,000 registrants. All of the conference talk videos are archived on the conference website and Dr. Kording has blogged about what he learned in the course of running a large conference entirely online. Based on the success of Neuromatch 1.0, the team are now working on planning Neuromatch 2.0, which will take place in May 2020. Dr. Kording is also working on facilitating the transition of neuroscience communication into the online space, including a weekly social (#neurodrinking) with both US and EU versions.
Konrad Kording, Penn Integrates Knowledge University Professor of Bioengineering, Neuroscience, and Computer and Information Science
Dr. Kording is working to launch the Neuromatch Academy, an open, online, 3-week intensive tutorial-based computational neuroscience training event (July 13-31, 2020). Participants from undergraduate to professors as well as industry are welcome. The Neuromatch Academy will introduce traditional and emerging computational neuroscience tools, their complementarity, and what they can tell us about the brain. A main focus is not just on using the techniques, but on understanding how they relate to biological questions. The school will be Python-based making use of Google Colab. The Academy will also include professional development / meta-science, model interpretation, and networking sessions. The goal is to give participants the computational background needed to do research in neuroscience. Interested participants can learn more and apply here.
Journal of Biomedical Engineering Call for Review Articles
Beth Winkelstein, Vice Provost for Education and Eduardo D. Glandt President’s Distinguished Professor of Bioengineering
The American Society of Medical Engineers’ (ASME) Journal of Biomechanical Engineering (JBME), of which Dr. Winkelstein is an Editor, has put out a call for review articles by trainees for a special issue of the journal. The call was made in March 2020 when many labs were ramping down, and trainees began refocusing on review articles and remote work. This call continues the JBME’s long history of supporting junior faculty and trainees and promoting their intellectual contributions during challenging times.
Update 4/29/20: CFP for the special 2021 issue here.
Are you a Penn Bioengineering community member involved in a coronavirus-related project? Let us know! Please reach out to email@example.com.
The Department of Bioengineering is proud to congratulate Whelton Miller, Ph.D., a former BE Postdoctoral Fellow, on his appointment as an Assistant Professor in the Department of Medicine in the Health Sciences Division at Loyola University. Miller’s appointment began in January 2020.
Miller received his B.S. in Biochemistry in 2001 from the University of Delaware where he worked under the supervision of Dr. Douglass F. Taber. After graduation, he worked in industry as a synthetic organic chemist for a pharmaceutical company. After three years of industry experience, he returned to academia to complete a Ph.D. in Theoretical/Computational Chemistry from the University of the Sciences in Philadelphia in 2012.
Miller joined Loyola University in Chicago, IL in the summer of 2019. Now in his new faculty position, Miller continues to work on collaborative research projects and include colleagues at Instituto Tecnológico de Santo Domingo, the University of Pennsylvania, Lincoln University, University of Ghana, and the University of the Sciences. His current research involves using computational chemistry techniques for theoretical design and study of organometallic and inorganic compounds, protein ligand interactions, and structural electronic effects. His goal is to employ several computational techniques to understand, as well as predict, molecular interactions, such as protein-ligand interactions and protein-protein interactions. Miller says he is always looking forward to more opportunities for minority student development and enrichment in the STEM-related disciplines. Congratulations, Dr. Miller!
Radhakrishnan holds joint appointments in the Department of Bioengineering and the Department of Chemical and Biomolecular Engineering. He is a founding member and the current Director of the Penn Institute for Computational Science, as well as a member of the Penn Physical Sciences in Oncology Center, Institute for Translational Medicine and Therapeutics, and several graduate groups, including Materials Science and Engineering, Genomics and Computational Biology, and Biochemistry and Molecular Biophysics.
In addition to these roles at Penn, Radhakrishnan holds many editorial board positions in the research community, including Nature Publishing’s Scientific Reports.
Beyond being a passionate teacher and advocate for his students, Radhakrishnan’s research interests lie at the interface of chemical physics and molecular biology. His lab’s goal is to provide molecular level and mechanistic characterization of biomolecular and cellular systems and formulate quantitatively accurate microscopic models for predicting the interactions of various therapeutic agents with innate biochemical signaling mechanisms.
Ravi Radhakrishnan, professor in the departments of Bioengineering and Chemical and Biomolecular Engineering, has been named the new Director of the Penn Institute for Computational Science (PICS).
PICS is a cross-disciplinary institute for the advancement, integration, and support of Penn research via the tools and techniques of high-performance computing. It promotes research through a regular seminar series, an annual conference, by hosting joint research projects and through researcher and student training. PICS also enables computational science research by providing an ongoing series of short technical “how to” workshops or bootcamps for Penn researchers and graduate students.
Radhakrishnan’s research interests lie at the interface of chemical physics and molecular biology. He graduated from the Indian Institute of Technology in 1995 and earned his PhD from Cornell University in 2001. He is a member of the Penn Center for Molecular Discovery and the Center for Engineering Cells and Regeneration.
DNA Microscopy Gives a Better Look at Cell and Tissue Organization
A new technique that researchers from the Broad Institute of MIT and Harvard University are calling DNA microscopy could help map cells for better understanding of genetic and molecular complexities. Joshua Weinstein, Ph.D., a postdoctoral associate at the Broad Institute, who is also an alumnus of Penn’s Physics and Biophysics department and former student in Penn Bioengineering Professor Ravi Radhakrishnan’s lab, is the first author of this paper on optics-free imaging published in Cell.
The primary goal of the study was to find a way of improving analysis of the spatial organization of cells and tissues in terms of their molecules like DNA and RNA. The DNA microscopy method that Weinstein and his team designed involves first tagging DNA, and allowing the DNA to replicate with those tags, which eventually creates a cloud of sorts that diffuses throughout the cell. The DNA tags subsequent interactions with molecules throughout the cell allowed Weinstein and his team to calculate the locations of those molecules within the cell using basic lab equipment. While the researchers on this project focused their application of DNA microscopy on tracking human cancer cells through RNA tags, this new method opens the door to future study of any condition in which the organization of cells is important.
Penn Engineers Demonstrate Superstrong, Reversible Adhesive that Works like Snail Slime
If you’ve ever pressed a picture-hanging strip onto the wall only to realize it’s slightly off-center, you know the disappointment behind adhesion as we typically experience it: it may be strong, but it’s mostly irreversible. While you can un-stick the used strip from the wall, you can’t turn its stickiness back on to adjust its placement; you have to start over with a new strip or tolerate your mistake. Beyond its relevance to interior decorating, durable, reversible adhesion could allow for reusable envelopes, gravity-defying boots, and more heavy-duty industrial applications like car assembly.
Such adhesion has eluded scientists for years but is naturally found in snail slime. A snail’s epiphragm — a slimy layer of moisture that can harden to protect its body from dryness — allows the snail to cement itself in place for long periods of time, making it the ultimate model in adhesion that can be switched on and off as needed. In a new study, Penn Engineers demonstrate a strong, reversible adhesive that uses the same mechanisms that snails do.
Low-Dose Radiation CT Scans Could Be Improved by Machine Learning
Machine learning is a type of artificial intelligence growing more and more popular for applications in bioengineering and therapeutics. Based on learning from patterns in a way similar to the way we do as humans, machine learning is the study of statistical models that can perform specific tasks without explicit instructions. Now, researchers at Rensselaer Polytechnic Institute (RPI) want to use these kinds of models in computerized tomography (CT) scanning by lowering radiation dosage and improving imaging techniques.
A recent paper published in Nature Machine Intelligence details the use of modularized neural networks in low-dose CT scans by RPI bioengineering faculty member Ge Wang, Ph.D., and his lab. Since decreasing the amount of radiation used in a scan will also decrease the quality of the final image, Wang and his team focused on a more optimized approach of image reconstruction with machine learning, so that as little data as possible would be altered or lost in the reconstruction. When tested on CT scans from Massachusetts General Hospital and compared to current image reconstruction methods for the scans, Wang and his team’s method performed just as well if not better than scans performed without the use of machine learning, giving promise to future improvements in low-dose CT scans.
A Mind-Controlled Robotic Arm That Requires No Implants
A new mind-controlled robotic arm designed by researchers at Carnegie Mellon University is the first successful noninvasive brain-computer interface (BCI) of its kind. While BCIs have been around for a while now, this new design from the lab of Bin He, Ph.D., a Trustee Professor and the Department Head of Biomedical Engineering at CMU, hopes to eliminate the brain implant that most interfaces currently use. The key to doing this isn’t in trying to replace the implants with noninvasive sensors, but in improving noisy EEG signals through machine learning, neural decoding, and neural imaging. Paired with increased user engagement and training for the new device, He and his team demonstrated that their design enhanced continuous tracking of a target on a computer screen by 500% when compared to typical noninvasive BCIs. He and his team hope that their innovation will help make BCIs more accessible to the patients that need them by reducing the cost and risk of a surgical implant while also improving interface performance.
KIChE is an organization that aims “to promote constructive and mutually beneficial interactions among Korean Chemical Engineers in the U.S. and facilitate international collaboration between engineers in U.S. and Korea.”
We would also like to congratulate Natalia Trayanova, Ph.D., of the Department of Biomedical Engineering at Johns Hopkins University on being inducted into the Women in Tech International (WITI) Hall of Fame. Beginning in 1996, the Hall of Fame recognizes significant contributions to science and technology from women. Trayanova’s research specializes in computational cardiology with a focus on virtual heart models for the study of individualized heart irregularities in patients. Her research helps to improve treatment plans for patients with cardiac problems by creating virtual simulations that help reduce uncertainty in either diagnosis or courses of therapy.