The tool in question is the FUNC score, short for the Functional Outcome in Patients with Primary Intracerebral Hemorrhage score, developed by neurologists at Massachusetts General Hospital and first published in the journal Stroke in 2008. The score distills a handful of variables available at hospital admission — the volume and location of the bleed on initial imaging, the patient’s age, the Glasgow Coma Scale score on arrival, and whether the patient was already taking an anticoagulant medication such as warfarin — into a single number ranging from zero to eleven. In its original validation, the score predicted whether patients would achieve functional independence, defined as a Glasgow Outcome Scale score of four or higher, ninety days after the hemorrhage. That three-month window, however, has increasingly been recognized as an arbitrary snapshot of what is often a much longer recovery.

Recovery after brain injury is not a fixed event but a moving target. Emerging evidence, including a growing body of work on recovery trajectories after intracerebral hemorrhage, shows that many patients continue to improve between three and twelve months after the bleed. In some cohorts, a meaningful proportion of survivors who were dependent at three months walk, feed themselves, and manage their own affairs a year later. If clinicians base early prognostic conversations only on tools validated at three months, they risk anchoring families to an overly pessimistic view — or, conversely, they may lack the statistical justification to make confident statements about long-term independence at all. Recognizing this gap, a team led by Joel Neves Briard, a postdoctoral researcher in Columbia’s Department of Neurology, and senior author Jan Claassen, professor of neurology and critical care specialist, set out to ask whether the FUNC score could be stretched, without distortion, to a twelve-month horizon.

The team conducted a single-center prospective cohort study, enrolling adult patients admitted with primary intracerebral hemorrhage between February 2009 and January 2018. Prospective enrollment matters in this kind of research: rather than reconstructing cases from medical records after the fact, investigators collected structured data on patients as they arrived and followed them forward, reducing the bias and missingness that plague retrospective analyses. All patients included in the analysis had a primary hemorrhage — meaning the bleed was not secondary to trauma, aneurysm rupture, or vascular malformation — and each patient’s FUNC score was calculated at admission using the same variables that have anchored the score since its debut. Twelve months later, surviving patients’ functional status was assessed using the Glasgow Outcome Scale, a five-point measure that ranges from death to good recovery and that classifies patients scoring four or five as broadly independent.

The cohort ultimately comprised 535 patients, a substantial sample for this disease. The patients were, on average, seriously ill: their median age was 68 years, 44 percent were women, and the median National Institutes of Health Stroke Scale score at presentation was 16, a level indicating moderate to severe neurological impairment. Median FUNC score in the cohort was 8 on the eleven-point scale. Among the 445 patients with a known Glasgow Outcome Scale assessment at twelve months, 99 — roughly 22 percent — had achieved functional independence. That figure alone carries a message for families: even in a cohort skewing severely ill, more than one in five patients was living independently a year after a brain bleed, a reminder that early appearances can mislead.

The statistical heart of the study lay in testing whether the FUNC score’s predictions still held at one year. The researchers used logistic regression to calculate the area under the receiver operating characteristic curve, or AUC, the standard gauge of a prediction model’s ability to separate those who will experience an outcome from those who will not. An AUC of 0.5 indicates performance no better than a coin flip, while 1.0 represents perfect discrimination. For twelve-month functional independence, the FUNC score achieved an AUC of 0.79, with a 95 percent confidence interval of 0.75 to 0.84 — a level of discrimination broadly comparable to the score’s originally validated three-month performance. In practical terms, the score’s simple admission-time arithmetic remained nearly as informative about the one-year future as about the three-month one.

Discrimination, however, is only half the story. A model can rank patients correctly yet still misjudge how likely the outcome actually is, which is why the researchers also evaluated calibration — the agreement between predicted probabilities and observed frequencies — using a calibration plot, alongside the Brier score, a composite measure of both discrimination and calibration that penalizes confident wrong answers. The calibration plot showed reasonable agreement between predicted and observed outcomes across the probability range, with modest evidence that the score slightly overestimated the likelihood of independence at the low end of predicted probabilities. The Brier score came in at 0.15, a respectable figure for a binary clinical outcome. To address the patients lost to follow-up, the team handled missing twelve-month outcomes using multiple imputation by chained equations, a modern statistical technique that fills gaps by modeling each incomplete variable conditional on all others, preserving uncertainty rather than pretending missing data do not exist.

Finally, the investigators asked a question that has become central to the modern evaluation of clinical prediction tools: does the score actually help make decisions? Using decision curve analysis, a method developed by Vickers and Elkin that quantifies the net clinical benefit of acting on a model’s predictions across a range of risk thresholds, the team found that the FUNC score delivered measurable net benefit across threshold probabilities from 5 to 50 percent. In other words, within the range of probabilities most relevant to real clinical conversations, basing decisions on the score beat both the strategy of assuming every patient will be independent and the strategy of assuming none will be — the two extremes any prognostic tool must outperform to be worth the bedside clinician’s attention.

The implications reach beyond the family meeting. The authors point to two principal applications. The first is counseling: armed with a validated twelve-month prediction, clinicians can offer families a more honest account of long-term prospects, tempering the nihilism that has historically shadowed intracerebral hemorrhage care. This matters because premature withdrawal of life-sustaining therapy, driven in part by excessively pessimistic early prognostication, remains a documented concern in hemorrhagic stroke, and formal guidelines for neuroprognostication in critically ill adults with intracerebral hemorrhage explicitly caution against self-fulfilling prophecies. The second application is methodological. The FUNC score can support sliding dichotomy, a trial-design strategy in which the outcome threshold for success is adjusted to each patient’s predicted baseline risk — an approach pioneered in traumatic brain injury research that increases statistical power by recognizing that a modest recovery for the sickest patients may be as meaningful as a full recovery for the mildest ones.

The researchers are careful about limits. This was a single-center study at a major academic medical center, and prediction models notoriously lose calibration when transplanted to different populations and care environments; external validation across centers is needed before the twelve-month FUNC score becomes standard practice. The field’s own reporting standards, codified in the TRIPOD+AI statement for clinical prediction models, demand exactly this kind of transparency about performance, calibration, and intended use. Still, the study’s message is striking in its simplicity. A tool invented nearly two decades ago, computed from five variables a clinician can gather before the patient has even reached the intensive care unit, appears to hold its predictive power across the full year in which the brain does its slow, stubborn work of healing. For the families sitting in hospital corridors, that is not just a statistical achievement — it is a reason to keep asking the question, and to keep hoping the answer changes.

Subject of Research: Prediction of 12-month functional independence after primary intracerebral hemorrhage using the FUNC score

Article Title: Extension of the FUNC Score for Prediction of 12-Month Functional Independence after Primary Intracerebral Hemorrhage

Article References: Extension of the FUNC Score for Prediction of 12-Month Functional Independence after Primary Intracerebral Hemorrhage. (n.d.). https://doi.org/10.1007/s12028-026-02661-6

Image Credits: AI Generated

DOI: 10.1007/s12028-026-02661-6

Keywords: intracerebral hemorrhage, stroke, FUNC score, prognostication, functional outcome, Glasgow Outcome Scale, neurocritical care, prediction model, recovery, brain bleed, Extension, FUNC

Behind the program are Phillip Myer and Jennie Ivey, both professors in the UT Department of Animal Science, who have secured a $750,000 grant from the USDA National Institute of Food and Agriculture to fund the project over five years. Their central premise is that scientific training alone is insufficient. Students must also learn how knowledge moves out of the laboratory and into the field, where it influences livestock management, animal welfare and the economic viability of farms. By deliberately fusing these domains within a single fellowship, the program aims to produce graduates who can generate, translate and communicate science with equal confidence.

Recruitment will be national in scope, drawing applicants from animal science, agricultural and related life science programs across the country. Once selected, fellows will embark on a year-long sequence combining virtual and in-person experiences, each anchored in one of six focus areas: animal nutrition; livestock production, robotics and automation; livestock gene editing and genomics; animal disease, immunology and parasitism; animal welfare; or animal reproduction. These tracks reflect the scientific frontiers where animal agriculture is changing fastest, from precision feeding strategies to genome editing tools that promise healthier, more productive herds.

One of the program’s most distinctive features is its integrated mentoring model. Rather than pairing each student with a single advisor, F.U.S.E. assigns every fellow a team that includes research faculty, Extension faculty, a graduate student mentor and a county Extension agent. This structure exposes students to the full arc of agricultural science: the design of experiments, the interpretation of data and the practical challenge of delivering findings to producers, industry representatives and other stakeholders who will ultimately apply them. Mentors from different professional backgrounds will model the collaboration that modern agricultural problem-solving increasingly requires.

Myer emphasizes the broader stakes of the effort. By strengthening the pipeline of well-trained animal science professionals, he notes, the program will support not only agriculture itself but also the local communities, economies and food systems that depend on a skilled and innovative workforce. Ivey adds that the project will train undergraduates through mentored research, farm-based experiences and Extension activities that translate science into practical solutions for producers and stakeholders. Together, their vision positions the fellowship as an investment in rural resilience as much as in individual careers.

The technical training embedded in the fellowship is deliberately comprehensive. Fellows will receive hands-on instruction in experimental design, data collection and analysis, animal management, scientific writing and science communication. They will also work alongside Extension professionals during farm visits, production-site experiences and outreach programming, and will contribute to the development of Extension materials used with real audiences. The experience culminates in an intensive summer research and Extension residency in which students finalize their projects, sharpen their communication skills and engage directly with animal agriculture professionals, ensuring that no fellow completes the program without having presented and defended their work in professional settings.

Networking opportunities form another pillar of the program. Fellows will prepare scientific abstracts and presentations and will have opportunities to present their research at the American Society of Animal Science Annual Meeting, one of the field’s most important gatherings, as well as at a dedicated F.U.S.E. Animal Science Conference hosted by UTIA. These venues will connect students with scientists, Extension specialists, industry representatives and other leaders across animal agriculture, giving early-career undergraduates access to professional networks that typically take years to build. Recruitment for the first cohort is expected to begin in January 2027, with the inaugural fellows starting their experience later that year.

The F.U.S.E. award is part of a considerably larger federal commitment: an $8.8 million investment by USDA-NIFA in Research and Extension Experiences for Undergraduates, or REEU. That national program funds experiential learning opportunities that help undergraduates develop the technical, professional and leadership skills needed for careers in food and agriculture or for continued study in graduate and professional programs. F.U.S.E. Animal Science advances these goals by intentionally integrating research and Extension training within a single year-long fellowship, a design its creators argue is rarer than it should be in undergraduate agricultural education.

The program’s leaders bring complementary expertise to the effort. Myer’s research focuses on gut microbiology in beef cattle, with particular emphasis on the rumen microbiome and its significance for feed efficiency and nutritional physiology. He helped create rumenmicrobes.utk.edu, a public resource explaining the science of microorganisms and animal nutrition, and earned his B.S. in biology from Bradley University in 2008 and his Ph.D. in microbiology from Purdue University in 2013. He subsequently worked as a postdoctoral researcher at the USDA-ARS U.S. Meat Animal Research Center from 2013 to 2015, studying gut microbiome impacts on nutrition and feed efficiency in finishing beef steers, and currently serves as Director of Graduate Studies for the UT Department of Animal Science.

Ivey completed a B.S. in equine science at Rutgers University in 2009 before earning her M.S. and Ph.D. at West Virginia University, where she studied equine nutrition and exercise physiology. Her research and Extension interests center on nutritional, exercise and management interventions that improve equine well-being, along with the influence of owner knowledge on equine management. She serves on the Equine Health Advisory Commission for the Tennessee Department of Agriculture and on the Board of Directors for the National Association of Equine Affiliated Academics. Together with the broader University of Tennessee Institute of Agriculture, which comprises the Herbert College of Agriculture, the UT College of Veterinary Medicine, UT AgResearch and UT Extension, the two professors hope F.U.S.E. will become a national model for how land-grant institutions prepare students to carry agricultural science from the bench to the barn and beyond.

Subject of Research: An undergraduate fellowship integrating animal science research and Extension training at the University of Tennessee

Article Title: UTIA launches fellowship to prepare future animal science professionals

Article References: UTIA launches fellowship to prepare future animal science professionals. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: animal science, undergraduate fellowship, USDA NIFA, Extension, University of Tennessee, research training, livestock, REEU, science communication, agricultural workforce, mentoring, professional development