Scope and financial impact of unpublished data and unused samples among U.S. academic and government researchers.

Unpublished data and unused samples are common byproducts of research activity, but little is known about the scope and economic impact of their disuse. To fill this knowledge gap, we collected self-reported anonymous survey responses from 301 academic and government scientists from randomly selected institutions. Respondents estimated that they published ∼60% of their data and 95% had unpublished data. Of those collecting specimens, 60% stored unused samples. Systemic and logistical issues were identified as major contributory factors. The median cumulative self-reported estimated value of unused resources per researcher was $28,857, with life science ($36k) and government ($109k) researchers reporting the costliest assets. Using NSF headcounts, we estimated that the current cumulative value of unused resources at universities is approximately $6.2 billion, about 7% of the current annual R&D budget. These findings provide actionable information that can be used by decision makers to reduce obstacles that undermine scientific progress and productivity.

An Idealized Clinicogenomic Registry to Engage Underrepresented Populations Using Innovative Technology.

Current best practices in tumor registries provide a glimpse into a limited time frame over the natural history of disease, usually a narrow window around diagnosis and biopsy. This creates challenges meeting public health and healthcare reimbursement policies that increasingly require robust documentation of long-term clinical trajectories, quality of life, and health economics outcomes. These challenges are amplified for underrepresented minority (URM) and other disadvantaged populations, who tend to view the institution of clinical research with skepticism. Participation gaps leave such populations underrepresented in clinical research and, importantly, in policy decisions about treatment choices and reimbursement, thus further augmenting health, social, and economic disparities. Cloud computing, mobile computing, digital ledgers, tokenization, and artificial intelligence technologies are powerful tools that promise to enhance longitudinal patient engagement across the natural history of disease. These tools also promise to enhance engagement by giving participants agency over their data and addressing a major impediment to research participation. This will only occur if these tools are available for use with all patients. Distributed ledger technologies (specifically blockchain) converge these tools and offer a significant element of trust that can be used to engage URM populations more substantively in clinical research. This is a crucial step toward linking composite cohorts for training and optimization of the artificial intelligence tools for enhancing public health in the future. The parameters of an idealized clinical genomic registry are presented.

Academic Medical Centers as Innovation Ecosystems: Evolution of Industry Partnership Models Beyond the Bayh-Dole Act.

Innovation ecosystems tied to academic medical centers (AMCs) are inextricably linked to policy, practices, and infrastructure resulting from the Bayh-Dole Act in 1980. Bayh-Dole smoothed the way to patenting and licensing new drugs and, to some degree, medical devices and diagnostic reagents. Property rights under Bayh-Dole provided significant incentive for industry investments in clinical trials, clinical validation, and industrial scale-up of products that advanced health care. Bayh-Dole amplified private investment in biotechnology drug development and, from the authors' perspective, did not significantly interfere with the ability of AMCs to produce excellent peer-reviewed science. In today's policy environment, it is increasingly difficult to patent and license products based on the laws of nature-as the scope of patentability has been narrowed by case law and development of a suitable clinical and business case for the technology is increasingly a gating consideration for licensees. Consequently, fewer academic patents are commercially valuable. The role of technology transfer organizations in engaging industry partners has thus become increasingly complex. The partnering toolbox and organizational mandate for commercialization must evolve toward novel collaborative models that exploit opportunities for future patent creation (early drug discovery), data exchange (precision medicine using big data), cohort assembly (clinical trials), and decision rule validation (clinical trials). These inputs contribute to intellectual property rights, and their clinical exploitation manifests the commercialization of translational science. New collaboration models between AMCs and industry must be established to leverage the assets within AMCs that industry partners deem valuable.

Health status, perceptions and needs of Hispanics in rural Shelbyville, Kentucky.

This cross-sectional study was completed to characterize the health status, perceptions and needs of Hispanics in Shelbyville, KY, USA. Community Health Workers interviewed 668 Hispanic residents in Shelbyville, KY, USA. Data were collected from 2009 to 2010 and analyzed from 2011 until present. Hispanic immigrants from Mexico and other Central American countries completed the survey. The most common self-reported diseases were allergies, asthma, diabetes, lung disease and cardiovascular disease. High blood pressure and diabetes were the two most common diagnoses among insured, older females. Health education, disease prevention and nutrition were the top health concerns among participants. Deficits in health care infrastructure for this largely transient community may compromise their ability to meet health care needs and concerns. Similar issues may be faced by other disadvantaged Hispanic communities in the continental US and likely to be influenced by anticipated provisions of the Patient Protection and Affordable Care Act.

Culturally-Tailored Education Programs to Address Health Literacy Deficits and Pervasive Health Disparities among Hispanics in Rural Shelbyville, Kentucky.

OBJECTIVES: This investigation was conducted to evaluate the impact of culturally-tailored education on health knowledge among Hispanic residents of rural, Shelbyville, KY. DESIGN: The program identified specific pathways to address health literacy deficits and disparities identified through a community-wide health assessment completed in 2010. RESULTS: A total of 43 Hispanic males who shared deficiencies in community-wide health infrastructure were enrolled in the program. The curriculum included an introductory session followed by five, subject-specific, sessions offered on a weekly basis from February to April 2011. Pre/post-test assessments showed marked improvement in knowledge base for all participants after each session, most notably related to cardiovascular disease, diabetes and metabolic syndrome. The group reconvened in January 2012 for follow-up instruction on cardiovascular disease and diabetes, as well as global assessment of knowledge retention over a nine-month period. Comparisons of pre/post testing in cardiovascular disease and diabetes, as well as global health-related knowledge showed significant gains for all parameters. CONCLUSIONS: Health education programs that embrace perceptions of the community of their own health, and that integrate knowledge into culturally-sensitive education, significantly improved health knowledge among Hispanic residents in rural Kentucky. Such gains may translate into sustainable improvements in health literacy and help reduce health disparities.

Environmental risk factors of disease in the Cameron Park Colonia, a Hispanic community along the Texas-Mexico border.

OBJECTIVES: This report summarizes the results of a cross-sectional study in Cameron Park in 2000-2001 to identify disease prevalence and health concerns among colonia residents and to identify environmental exposures to potentially adverse environmental conditions. RESULTS: Asthma and allergies were among the most prevalent respiratory diseases reported in both adults and children of Cameron Park. Other diseases affecting the community in higher numbers included diabetes and heart disease/high blood pressure. Among children, the most prevalent health conditions were asthma, followed by lung diseases, allergies, and to a lesser degree, skin rashes. CONCLUSIONS: These data can be useful in developing education and intervention programs to address the public health and medical issues impacting residents in the Cameron Park Colonia of Texas.

Meeting report: hazard assessment for nanoparticles--report from an interdisciplinary workshop.

In this report we present the findings from a nanotoxicology workshop held 6-7 April 2006 at the Woodrow Wilson International Center for Scholars in Washington, DC. Over 2 days, 26 scientists from government, academia, industry, and nonprofit organizations addressed two specific questions: what information is needed to understand the human health impact of engineered nanoparticles and how is this information best obtained? To assess hazards of nanoparticles in the near-term, most participants noted the need to use existing in vivo toxicologic tests because of their greater familiarity and interpretability. For all types of toxicology tests, the best measures of nanoparticle dose need to be determined. Most participants agreed that a standard set of nanoparticles should be validated by laboratories worldwide and made available for benchmarking tests of other newly created nanoparticles. The group concluded that a battery of tests should be developed to uncover particularly hazardous properties. Given the large number of diverse materials, most participants favored a tiered approach. Over the long term, research aimed at developing a mechanistic understanding of the numerous characteristics that influence nanoparticle toxicity was deemed essential. Predicting the potential toxicity of emerging nanoparticles will require hypothesis-driven research that elucidates how physicochemical parameters influence toxic effects on biological systems. Research needs should be determined in the context of the current availability of testing methods for nanoscale particles. Finally, the group identified general policy and strategic opportunities to accelerate the development and implementation of testing protocols and ensure that the information generated is translated effectively for all stakeholders.

A stochastic model of gene transcription: an application to L1 retrotransposition events.

A simplified mathematical model of gene transcription is presented based on a system of coupled chemical reactions and a corresponding set of stochastic equations similar to those used in enzyme kinetics theory. The quasi-stationary distribution for the model is derived and its usefulness illustrated with an example of model parameters estimation using sparse time course data on L1 retrotransposon expression kinetics. The issue of model validation is also discussed and a simple validation procedure for the estimated model is devised. The procedure compares model predicted values with the laboratory data via the standard Bayesian techniques with the help of modern Markov-Chain Monte-Carlo methodology.