Wesley R. Legant · Biomedical Engineering
Wesley R. Legant's lab at the University of North Carolina Chapel Hill focuses on developing advanced microscopy techniques to study biological systems at multiple scales. By combining optical innovations and computer vision, the lab aims to create intelligent microscopes that can analyze live samples in real time. Their research investigates how proteins operate within the cell nucleus, enhancing our understanding of fundamental cellular processes.
Yvonne W Lui · Biomedical Engineering
Dr. Yvonne W. Lui’s lab focuses on improving MRI technology to investigate brain injuries, specifically mild traumatic brain injuries (MTBI). By applying advanced sodium MRI techniques, the research aims to identify unique imaging biomarkers that can better understand the damage caused by such injuries and lead to improved treatment options. This work is crucial as it has the potential to unravel the complicated biological changes following MTBI, offering new avenues for developing effective therapies.
Silvia Mangia · Biomedical Engineering
Dr. Silvia Mangia's lab focuses on understanding how brain function is affected by aging, specifically in relation to blood flow and metabolism. They develop and use innovative neuroimaging techniques to measure important brain metrics like oxygen and carbon dioxide levels, as well as pH, to see how these change in aging individuals. The goal is to uncover how these changes contribute to cognitive decline and to identify potential interventions for preserving brain health in older adults.
Todd A Aguilera · Biomedical Engineering
Todd A. Aguilera's lab at UT Southwestern Medical Center focuses on improving treatment outcomes for rectal cancer through innovative approaches combining radiation therapy and immunotherapy. By analyzing patient biopsy tissues before and after treatment, the lab aims to understand the cellular and molecular responses to therapy, which can lead to personalized treatment strategies. The lab is involved in clinical trials exploring new therapies that could potentially allow patients to avoid surgery while effectively managing their cancer.
Eric T. Ahrens · Biomedical Engineering
Eric T. Ahrens' lab at UC San Diego focuses on developing advanced imaging techniques to visualize immune cells in cancer, particularly tumor-associated macrophages (TAMs). By creating novel imaging agents, such as fluorine-19 (19F) MRI tracers and PET probes, the lab aims to improve early detection of inflammatory processes in cancers like head and neck squamous cell carcinoma. Their research seeks to enhance personalized treatments for patients by providing insights into the tumor microenvironment and its influence on therapy responses.
Geoffrey D Hugo · Biomedical Engineering
Dr. Geoffrey D Hugo's lab at Washington University focuses on improving the safety and performance of artificial intelligence (AI) systems used in radiation oncology. The team is developing innovative quality assurance frameworks to monitor and ensure that AI systems function correctly in clinical settings. Their research addresses challenges posed by changing data distributions in medical imaging, aiming to enhance the clinical implementation of AI technologies.
David Akhavan · Biomedical Engineering
Dr. David Akhavan's lab at the University of Kansas Medical Center focuses on improving treatments for Glioblastoma Multiforme (GBM), a serious type of brain cancer. The lab is exploring innovative nanotechnology techniques to better deliver drugs to CAR T cells, which are designed to specifically target and kill cancer cells. Their research aims to enhance the effectiveness of this therapy while minimizing side effects for patients.
Nancy L. Allbritton · Biomedical Engineering · Engineering
Dr. Nancy L. Allbritton's lab focuses on cutting-edge research in bioengineering to understand and combat cancer. They develop innovative microdevices and biomaterials to explore cellular behaviors in leukemia and colorectal cancer. By studying how lipid signaling and the tumor microenvironment affect cancer progression, the lab aims to improve treatment precision and patient outcomes.
Prasanna G Alluri · Biomedical Engineering
Dr. Prasanna G Alluri's lab focuses on understanding and overcoming treatment resistance in breast cancer, specifically through targeting two proteins called CDK4 and CDK6. The team is investigating how these proteins contribute to tumor growth and resistance to therapies, aiming to develop new strategies to improve treatment outcomes for patients with estrogen receptor-positive breast cancer. Their research combines advanced genomic and machine learning techniques to explore how modifying the expression of CDK6 can help combat drug resistance in cancer cells.
Gabriel Oliveira Sawakuchi · Biomedical Engineering
Dr. Gabriel Oliveira Sawakuchi's lab focuses on combining innovative radiation therapy techniques with pharmacologic strategies to enhance the immune response against cancer. The lab investigates how high-energy alpha particles and inhibitors of DNA repair can work together to activate the immune system, particularly in difficult-to-treat solid tumors. This research seeks to improve cancer treatment outcomes and develop new therapeutic approaches for patients with advanced cancers.
Junhao Wen · Biomedical Engineering
Dr. Junhao Wen's lab at Columbia University focuses on understanding Alzheimer's Disease and aging through innovative multi-organ research. By leveraging large-scale biomedical data and advanced artificial intelligence techniques, the lab aims to develop a personalized chart that assesses individual susceptibility to these conditions. This research could lead to better diagnosis and treatment strategies, ultimately enhancing patient care.
Andrew J Saykin · Biomedical Engineering
Dr. Andrew J Saykin's research lab focuses on understanding Alzheimer's disease and related dementias through a comprehensive study of brain aging. The lab collaborates on a large-scale project that collects and analyzes longitudinal clinical, genetic, and neuroimaging data from diverse populations, particularly a Korean cohort. The goal is to identify early biomarkers and improve diagnostic and therapeutic strategies for Alzheimer's disease.
Lee E. Goldstein · Biomedical Engineering
Dr. Lee E. Goldstein's research lab at Boston University focuses on understanding Alzheimer's disease (AD) and related dementias by investigating how environmental toxicants like lead, cadmium, and arsenic affect brain aging and disease risk. The lab employs innovative mouse models to delve into the molecular processes that connect genetic risk factors and environmental exposures. Additionally, they are developing a novel noninvasive eye scanner to detect early biomarkers of Alzheimer’s in the lens of the eye, aiming for a more accessible method of early detection of cognitive decline.
Qolamreza Ray Razlighi · Biomedical Engineering
Dr. Qolamreza Ray Razlighi's lab focuses on understanding Alzheimer's Disease (AD) by developing a new tool called the Tau Progression Index (TPI). This tool will help predict how the disease progresses in individuals based on brain imaging data and cognitive assessments. Through this research, the lab aims to enhance personalized medicine approaches for Alzheimer's, providing better prognostic information for patients and their families.
Ze Wang · Biomedical Engineering
Dr. Ze Wang's lab at the University of Maryland Baltimore focuses on using advanced MRI technologies to study Alzheimer's Disease (AD). The lab develops and applies artificial intelligence techniques to improve the quality of non-invasive brain imaging, particularly enhancing the measurement of cerebral blood flow in patients with AD. Their work aims to provide better assessment methods for early diagnosis and monitoring of disease progression, ultimately aiding in the search for effective interventions.
Phil Lee · Biomedical Engineering
Dr. Phil Lee's lab at the University of Kansas Medical Center focuses on Alzheimer's disease (AD) and the relationship between brain metabolism and disease pathology. The lab aims to develop advanced imaging techniques to create detailed metabolic maps of the brain, which can help identify changes associated with Alzheimer's and potentially guide new treatment strategies. The research contributes to understanding how brain metabolism affects aging and neurological disorders.
Brian Marples · Biomedical Engineering
Dr. Brian Marples leads a research lab at the University of Rochester focusing on the prevention of bladder injuries in cancer patients undergoing pelvic radiotherapy. The lab investigates how modulation of the renin-angiotensin system can reduce inflammation and toxicity caused by radiation, aiming to develop urine-based biomarkers that predict bladder injury. Ultimately, the goal is to minimize the painful side effects of treatment and improve the quality of life for patients.
Ananth V Annapragada · Biomedical Engineering
Dr. Ananth V Annapragada's lab focuses on understanding how SARS-CoV-2, the virus that causes COVID-19, may contribute to the development and acceleration of Alzheimer's disease and related dementias. By investigating the influence of genetic risk factors and other viral infections, the lab aims to uncover the mechanisms behind neuroinflammation and cognitive dysfunction observed after COVID-19 infections. Their research could lead to new strategies for preventing or treating Alzheimer's disease.
Mekhail Anwar · Biomedical Engineering
Dr. Mekhail Anwar's lab at UCSF focuses on improving cancer treatment through advanced imaging techniques. By developing non-invasive imaging methods, the lab aims to detect and monitor how patients respond to immunotherapies, which can help identify when treatments are not effective. The lab also works on innovative optical imaging technologies to ensure that cancer cells are not left behind during surgeries, aiming to improve patient outcomes.
Jessica Wagenseil · Biomedical Engineering
Jessica Wagenseil's lab focuses on the study of ascending thoracic aortic aneurysms, which are dangerous cardiovascular conditions. The lab combines animal models, advanced computational techniques, and patient imaging data to identify potential biomarkers that can predict the failure of aneurysms. By examining a mouse model and utilizing complex simulations, the team aims to improve assessment and treatment strategies for patients at risk of aortic dissection or rupture.