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Whole Body Redox Maps for Metastatic Cancer Therapy

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NCI - National Cancer Institute

Project Summary Antioxidants have been widely believed to offer protection against cancer. However, landmark studies involving 35,000 men revealed the opposite: antioxidants such as vitamin E daily supplements, significantly increased, not decreased, the risk of developing prostate cancer (PC). At the Trotman Lab, we pioneered oxidative cell death therapy of PC: by giving the pro-oxidant menadione to mice with natively growing lethal PC we discovered that it affords a potent and durable therapeutic response. This is in contrast to castration therapy in RapidCaP and in men, which invariably is followed by relapse of disease. Menadione, a precursor of dietary vitamin K, selectively kills prostate cancer cells through triaptosis while sparing healthy tissues. At the same time standard of care (SOC) therapy interventions against PC such as radio- and radioligand therapy or chemotherapy are known to exert oxidative stress. However, we still lack cell level organ maps that inform us about (1) native redox states of tissues, (2) redox states of tumors and their metastases, and (3) if and how these redox states are changed by therapy. To satisfy this need, we here propose to expand on the rigorous approach, developed by the Lyons lab, of using the natural protein degradation based sensing of redox stress for in vivo visualization. The strategy uses ROS-dependent degradation of a red channel protein that reports the redox stress, while a green channel reporter serves as internal reference. With these reporters, we will generate two complementary native and immune competent animal models that reveal whole body redox maps of prostate cancer: OxiGEM will harbor the redox reporter in the germline in the Rosa26 locus so that organs reveal cell based redox states as red to green channel ratios (Aim 1). RoxyCaP will be based on RapidCaP, where virus based somatic gene transfer changes a single normal prostate cell into a tumor initiator but now it will also contain the redox reporter. This will allow us to reveal the cell level redox state of tumors during indolence and contrast it with escape and metastatic spread of the cancer. To visualize these models, we use 3 complementary state-of-the art whole organ imaging techniques that also ensure compatibility with molecular and -omics analyses of the results. Collectively, our models will yield a fundamental understanding of whether or not metastatic tumor progression and its therapy are dictated by redox states.

Up to $794K
2031-07-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Wide-Bore 3T MRI System for Advancing Multidisciplinary Research

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OD - NIH Office of the Director

Project Summary/Abstract This application requests support for the acquisition of a United Imaging uMR Ultra 3T MRI scanner to be installed at the Imaging Research Center (IRC) at the University of California, Davis. The new system is urgently needed to address the severe overutilization of the IRC’s existing 3T scanner, which serves as the primary human imaging platform for a broad community of NIH-funded investigators. Current demand exceeds capacity, with wait times frequently surpassing three weeks, jeopardizing the feasibility and integrity of longitudinal, time- sensitive, and protocol-driven studies. The proposed Ultra 3T MRI system will alleviate this capacity bottleneck and expand access to cutting-edge neuroimaging and body imaging capabilities. The Ultra offers a 70 cm wide bore for improved participant comfort, state-of-the-art gradient performance (100 mT/m, 346 T/m/s), a 192-channel RF system, and an AI-powered reconstruction platform that enables accelerated, motion-robust, and high-resolution imaging. These features will support advanced functional, structural, diffusion, and perfusion imaging techniques, as well as emerging multi-nuclear and quantitative protocols. This shared instrument will support a diverse range of research projects spanning neuroscience, musculoskeletal imaging, kidney disease, metabolism, and pediatric studies. It will enable high-throughput, reproducible imaging in both single-site and multi-site settings, accelerating progress toward the health-related goals of more than 30 NIH-funded projects. UC Davis has demonstrated long-standing commitment to imaging research through sustained investment in infrastructure, faculty, and interdisciplinary collaboration. The IRC is staffed with experienced technical and administrative personnel and is fully equipped to support the operation of this new system. The Ultra 3T MRI will be managed as a shared resource with rigorous scheduling and oversight to ensure equitable access for all users. In summary, acquisition of the United Imaging Ultra 3T MRI scanner will resolve a critical capacity limitation, foster methodological innovation, and strengthen UC Davis’s leadership in translational and collaborative imaging science.

Up to $2M
2027-06-14
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Winter Conference to Advance New Approach Methodologies (NAMs) in Chemosensory Science

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NIDCD - National Institute on Deafness and Other Communication Disorders

Conference Title: WINTER CONFERENCE TO ADVANCE NEW APPROACH METHODOLOGIES (NAMS) IN CHEMOSENSORY SCIENCE Chemosensory and interoception research still relies on animal models, despite the national momentum to reduce, refine, and replace in vivo testing. To accelerate the adoption of non-animal alternatives, we will convene an inaugural four-day conference (Jan 12-17, 2027, Monell Chemical Senses Center, Philadelphia, PA) that integrates lectures, interactive workshops, and networking sessions focused on in vitro, ex vivo, and in silico NAMs relevant to taste, smell, and interoception. This meeting, to be held annually (2027 to 2031), will bring together ~100 academic investigators, industry scientists, regulators, and trainees, including at least 30 early-career scholars, to create a cross-sector forum for exchanging best practices and catalyzing collaborations. Program elements include: 1. Plenary Sessions highlighting breakthroughs in organoid models (e.g., oral, nasal, gut), high- throughput receptor assays, and AI-enabled chemosensory prediction tools. 2. Hands-on NAM Workshops led by Monell and external experts, covering receptor-based assays and organoid model development, transitional models aimed at reducing animals in research (e.g., ex vivo, in ovo), direct human measures (e.g., behavioral, EEG and fMRI) and machine learning pipelines for data integration and modelling. 3. Regulatory & Ethics Panels featuring scientists on validation standards and pathways for scientific and regulatory acceptance. 4. Trainee Lightning Talks & Mentoring to foster presentation skills and career development. 5. Industry Roundtable with chemosensory scientists, food, fragrance, and biotech companies to identify appropriate NAM uses, translational gaps, and commercialization opportunities. By the conference’s end, participants will: (i) understand the state of the art in NAMs and their potential application for chemosensory and interoception research, (ii) acquire practical skills to incorporate NAMs into grant proposals and product development and testing pipelines, and (iii) contribute to a consensus white paper outlining research priorities, prime applications and validation needs. All slide decks and workshop protocols will be posted on an open-access website; abstracts will also be publicly available. Evaluation surveys will track knowledge gains and subsequent adoption of NAM. This information will be leveraged to invite early NAMs adopters to participate in the Winter Conference in years 2-5. R13 support will offset meeting logistics, trainee travel awards, captioning for accessibility, and post-meeting dissemination, ensuring broad reach and sustained impact across academia, industry, and federal agencies.

Up to $60K
2027-05-31
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

Words to Live by: Leveraging Natural Language Processing and Machine Learning to Enhance Prehospital Triage Algorithms

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NHLBI - National Heart Lung and Blood Institute

Project Summary Abstract Over 1 million EMS clinicians from over 23,000 agencies must determine illness severity and care needs for the 25 million US patients transported annually to emergency departments. Treatment decisions based on these assessments—or 'triage’, such as whether to administer a lifesaving intervention (LSI) or transport to a Level 1 trauma center—proves challenging: Under- and over-estimation of illness severity and care needs occur at rates of 11%-72% and 10%-48%, respectively, which annually leads to thousands of excess deaths and costs the health care system hundreds of millions of dollars. Prehospital clinicians struggle to make accurate triage decisions because they have little available diagnostic information or time for analysis. Prehospital clinicians could benefit if diagnostic information were synthesized via an algorithmic tool to support triage decisions. To this end, prehospital clinicians record several lexical observations regarding patient condition and care needs, including clinician impressions and 9-1-1 telecommunicator notes. These observations mix diagnostic cues (e.g., anatomic injury patterns; possible illness etiology) with provider intuition, which is itself predictive of illness severity and care needs. Words within prehospital lexical observations may inform triage decisions if incorporated into an algorithmic decision tool. This project will involve the first comprehensive test of whether and how lexical prehospital information can be leveraged via natural language processing (NLP) and machine learning (ML) to create triage algorithms. NLP and ML prediction models trained on free-text prehospital clinician impressions will be used to predict illness severity (e.g., Injury Severity Score; mortality; hospital length-of-stay) and administration of prehospital LSI (e.g., intubation; defibrillation; tourniquet). To promote generalizability, models will be built in three large data sets totaling over 12 million prehospital cases; these cohorts vary in transport mode (i.e., ground; air), medical condition (i.e., trauma; non-trauma) and free-text format (i.e., 2-3 word clinician impressions; 4-5 sentence anatomic descriptions; 9-1-1 call notes). Multiple state-of-the-art NLP and ML approaches (e.g., ensemble models using bag-of-words frequencies; transformer models with pretrained embeddings) will be used to balance clinical interpretability and predictive sophistication. Highly predictive ML models could shape triage protocols: Notes from 9-1-1 calls could be fed into an ML prediction model to inform delivery of appropriate support and resources to a patient’s side (e.g., advanced clinicians; blood product); voice-to-text recordings of clinician impressions made upon patient encounter could likewise be leveraged to determine the need for lifesaving care. This work will set the stage for prospective collection of prehospital lexical data, as well as videos of patient encounters in the field, leveraging voice-to-text translation and computer vision-generated scene descriptions to translate these data sources into real-time decision support tools for prehospital triage.

Up to $239K
2028-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

WormAtlas and The Center for Nematode Anatomy

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OD - NIH Office of the Director

Project Summary “WormAtlas and the Center for Nematode Anatomy” The nematode, Caenorhabditis elegans, is among the most widely utilized model organisms for biomedical research. Research with C. elegans has led to discoveries associated with cancer, aging, and neurodevelopment. Advantages of C. elegans include its highly invariant development, transparency allowing researchers to observe cellular processes in vivo, and its small size comprising only about 1,000 cells. In addition to C. elegans, several other nematode species have biomedical importance as human parasites or comparative models. Electron microscopy (EM) has been used extensively to characterize nematode anatomy. However, EM techniques and interpretation of EM micrographs are challenging and frequently rely on specialized expertise. Furthermore, only a small portion of EM micrographs are presented in any given publication, thereby hindering additional analyses. The long-term objective for the Center and this project is to be the preeminent source of anatomical knowledge and data on C. elegans and other nematodes for the research community and to help train graduate students and postdocs in the art of EM. We make anatomical data easily interpretable for novices, comprehensive for those seeking detailed information, and freely available through our online platforms, thereby contributing to overall rigor and reproducibility of researchers working on these nematodes. The Center does this by 1) publishing detailed information regarding the anatomy of the nematode in the form of annotated EM and light micrographs, graphical illustrations, and corresponding text as anatomical handbooks on our WormAtlas website. During the upcoming project, we will expand our offerings by developing handbooks on the human parasitic nematode Strongyloides stercoralis and the comparative model Pristionchus pacificus 2) We host and make available the largest collection of EM data for C. elegans and other nematodes through our online WormImage database. Most of these data were collected as photographic negatives and prints and subsequently digitized and annotated by the Center. During the upcoming period we will add new data sets of both C. elegans and other nematode species. Furthermore, we will collaborate with the NIH-funded BossDB repository to share fully aligned and segmented data sets. 3) The Center regularly provides practical training in modern EM methods for students and postdoctoral associates. The Center also tests and develops new EM methods for C. elegans. During the upcoming project period we will organize quarterly webinars on various aspects of nematode anatomy.

Up to $647K
2030-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

X-RAD 320 with OptiMax

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OD - NIH Office of the Director

PROJECT SUMMARY/ABSTRACT The Division of Translational Radiation Sciences (DTRS) was established to accelerate the discovery and clinical implementation of new therapeutic strategies in clinical radiotherapy at the University of Maryland School of Medicine. DTRS and the Department of Radiation Oncology have been at the forefront of this field for several decades, having been one of the first institutions to secure a Medical Countermeasures Against Radiological Threats (MCART) consortium award from the NIH in 2005. DTRS currently leads two NIH-sponsored consortia: the Intercollaborative Radiation Countermeasures (INTERACT) Consortium (5U19AI150574-05), and the Radiation Oncology-Biology Integration Network on Oligometastasis (ROBIN OligoMET, 5U54CA273956-03). Our experienced physicists perform both in vitro and in vivo irradiations (in small and large animals) for investigators involved in these two consortia, as well as for other researchers requiring precise and accurate delivery of radiation doses in their experiments. DTRS is not a core facility but operates on a fee-for-service basis to perform and support these procedures for investigators across campus. A large number of our users rely on our current XRAD-320 X-ray irradiator, which has become increasingly unreliable, as the manufacturer no longer services the power generator or offers preventive maintenance, making future repairs potentially impossible. Our department also utilizes cesium-137 irradiators that must be phased out to comply with the U.S. Congress–mandated National Defense Authorization Act (NDAA), which calls for the elimination of all cesium- based irradiators in the U.S. by December 31, 2027, to mitigate national security risks associated with high- activity radioactive sources. We are therefore proposing to replace our aging and unsupported irradiator technology with a modern X-RAD 320 equipped with OptiMAX imaging. This state-of-the-art instrument offers advanced imaging capabilities, enabling precise targeting of radiation delivery to biological tissues. It will support current studies with improved accuracy, allow for the development of new experimental designs, and reduce labor requirements for existing protocols. Additionally, this system is considered one of the most suitable replacements for Cs-137 gamma irradiators. We have identified a group of NIH-funded users within the University of Maryland who rely on the current system or who would benefit from expanded capacity beyond what our aging platform can reliably support. Many of the research projects described in this application are translational in nature and aim to accelerate the understanding of disease mechanisms and the development of novel therapeutic strategies. Our institution is committed to providing substantial support for the installation and long-term operation of this system. The management and operational infrastructure are already in place, led by an outstanding technical team dedicated to delivering high-quality service to all users.

Up to $418K
2027-04-30
health research

Free to search & build · $99 one-time to unlock the application pack · No subscription

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