Dr. Mats Ljungman’s lab at the University of Michigan focuses on developing innovative cancer therapies using CRISPR technology, specifically targeting bladder cancer cells. The lab's research aims to precisely induce DNA damage in cancer cells by using a split CRISPR enzyme approach that minimizes effects on normal cells. Their goal is to advance this technique towards clinical trials, providing a new avenue for effective treatments for bladder cancer.

Dr. Benedict Shek Hang Law's lab at Weill Medical College focuses on developing innovative therapies for bladder cancer, particularly for patients who can't undergo standard invasive treatments. His research aims to improve drug delivery methods to ensure higher effectiveness and lower recurrence of cancer, using novel peptide-based systems that minimize the invasive techniques currently used.

Dr. Nicolaas Ida Bohnen's lab focuses on how the brain's cholinergic system affects balance and movement in individuals with Parkinson's disease and older adults. The team investigates how changes in specific brain regions influence postural control and the risk of falls. By studying these relationships, the lab aims to uncover potential new strategies for preventing balance disorders associated with aging and neurological diseases.

Dr. Yener N. Yeni's lab focuses on improving bone health monitoring in breast cancer patients during treatment. The lab is investigating a novel imaging technique called digital wrist tomosynthesis, which uses existing mammography equipment to assess bone quality and predict fracture risk without the need for additional appointments. This research aims to enhance patient care by integrating bone health assessment into routine breast cancer follow-up.

Dr. Li Ma's research lab focuses on improving the treatment of bone metastasis in cancer patients, particularly in breast cancer. They investigate a protein called ACBP, which influences how cancer cells metabolize fats and survive in bone tissue. By understanding ACBP's role in tumor biology, the lab aims to develop new therapeutic strategies that target bone metastasis more effectively than current treatments, which mainly alleviate symptoms but do not address the underlying cancer.

Dr. John M Boone's lab focuses on developing advanced computed tomography (CT) systems that enhance imaging quality using multiple X-ray sources. The goal is to create a new X-ray tube design that integrates six sources to reduce common imaging artifacts, which can improve diagnostic capabilities in areas such as dental and general medical imaging. The lab is also engaged in partnerships with industry leaders to facilitate the commercialization of this innovative technology.

Dr. Spencer L. Bowen's lab focuses on advancing imaging techniques for heart diseases, specifically using combined PET and MRI technology. The team is developing innovative methods to improve the accuracy of PET images during cardiac exams, particularly for conditions like cardiac sarcoidosis. Their work aims to reduce patient wait times and enhance the quality of diagnostic imaging, helping to provide better outcomes for patients with complex heart conditions.

Dr. Li Wang's lab at UNC Chapel Hill focuses on developing advanced computational tools for analyzing brain imaging data, specifically to study early brain development in infants at risk of autism. The lab's goal is to create methods that can accurately segment and identify brain structures from MRI scans, potentially leading to earlier diagnosis and intervention for autism. By leveraging large-scale neuroimaging datasets, their research seeks to improve our understanding of autism development and create resources for the scientific community.

Dr. Adam S. Charles's lab focuses on advancing brain imaging technologies to study neural function in real time. By developing new optical imaging methods, the lab aims to capture detailed brain activity at high speeds across large areas. This research can help uncover complex brain dynamics and improve our understanding of various neurological disorders.

Dr. Tracy A. Butler's lab focuses on understanding how the brain clears toxins after traumatic brain injuries (TBI), which can lead to neurodegenerative diseases like Alzheimer's. By using advanced imaging techniques soon after injury, the lab investigates the dynamics of harmful proteins that accumulate in the brain and how they correlate with recovery. Ultimately, their goal is to improve recovery from TBI and reduce the risk of future illnesses.

Dr. Bistra Iordanova's lab at the University of Pittsburgh focuses on understanding how brain metabolism relates to cognitive function, particularly in aging and Alzheimer's disease. They use advanced imaging techniques to study the interactions between neurons and their supporting cells, aiming to uncover how metabolic changes affect brain health. Their research could lead to new strategies for early diagnosis and treatment of cognitive decline.

Dr. Vincent A. Magnotta's lab at the University of Iowa focuses on using advanced imaging techniques to understand brain metabolism and its relation to neurological and psychiatric disorders, particularly Alzheimer’s disease and bipolar disorder. Their research aims to develop high-resolution imaging methods that can identify metabolic changes in the brain, helping to improve diagnosis, treatment, and understanding of these conditions. The lab's studies also explore the role of the cerebellum in mood regulation and suicidal behavior, contributing to the development of potential therapeutic strategies.

Dr. Wei Zhao's lab focuses on enhancing breast cancer detection through the development of a new imaging technology called the dual-layer flat-panel detector. By creating a system that captures two x-ray images at different energy levels, they aim to improve the accuracy of breast cancer screenings while reducing patient motion artifacts. The lab is dedicated to moving these innovations from the research phase into clinical settings to benefit patients directly.

Dr. Xiaochuan Pan's lab focuses on developing advanced imaging techniques to improve breast cancer treatment, specifically through intraoperative imaging during breast conserving surgery. The lab aims to enhance the identification of cancerous margins in lumpectomy specimens, thereby reducing the re-surgery rates for patients. Additionally, they work on creating a database of imaging and histopathological data for breast cancers that supports machine learning and deep learning applications in cancer research.

Dr. Amy Fowler's lab at the University of Wisconsin-Madison focuses on improving how breast cancer patients are treated by developing advanced imaging techniques to help predict how well they will respond to a specific type of hormone therapy. The research aims to create more personalized treatment plans by using non-invasive imaging methods that can detect changes in tumors after treatment begins. This innovative approach is expected to lead to better outcomes for patients with hormone receptor positive breast cancer.

Dr. David Sung-Wen Yu's lab focuses on understanding how a protein called SAMHD1 affects the response of breast cancer cells to radiation therapy and immunotherapy. The research aims to uncover the mechanisms by which SAMHD1 influences the immune environment in triple-negative breast cancer and explore novel strategies to improve treatment outcomes by targeting this protein. By doing so, the lab hopes to identify potential biomarkers for patient selection and develop innovative ways to enhance cancer therapy effectiveness.

Dr. Aimilia Gastounioti's lab is focused on improving breast cancer risk assessment, particularly for Black women who are disproportionately affected by the disease. By utilizing digital breast tomosynthesis and advanced deep learning techniques, the lab aims to create robust risk prediction tools that can personalize screening and prevention strategies. This research strives to ensure that risk assessments are more accurate and applicable across diverse populations, ultimately contributing to better health outcomes and reduced mortality rates from breast cancer.

Dr. Yiqiu Shen's lab focuses on improving breast cancer screening through advanced technology. They are developing an artificial intelligence system to enhance the accuracy and efficiency of ultrasound screenings for women with dense breasts. By analyzing large datasets of mammographic and ultrasound images, the lab aims to personalize who requires additional screening, ultimately reducing unnecessary procedures and improving patient care.

Dr. Lars J. Grimm's research lab focuses on improving breast cancer screening processes, particularly how to better interpret mammographic calcifications. The team aims to distinguish between benign and malignant conditions through innovative imaging and biomarker analysis over time. By leveraging data from multiple mammograms and tissue samples, their goal is to reduce unnecessary biopsies and overtreatment of patients diagnosed with early-stage breast cancer.

Dr. Jae-Il Park's lab focuses on understanding the biology and treatment of aggressive cancers, specifically small cell lung cancer (SCLC) and esophageal squamous cell carcinoma (ESCC). The lab employs cutting-edge model systems, including genetically engineered mouse models and organoids, to investigate how tumor suppressor genes and immune landscape remodeling affect cancer initiation and progression. By uncovering the molecular mechanisms behind these cancers, the lab aims to identify novel therapeutic targets and improve patient outcomes.