"Rectal Feeding"-Unethical Medical Officer Participation at CIA Secret Interrogation Facilities.

This Viewpoint discusses recently released information regarding the practice of "rectal feeding" among detainees at Guantanamo Bay and Central Intelligence Agency (CIA) secret prisons.

Billions boost next-generation weapons against SARS-CoV-2.

U.S. government project bets big on intranasal vaccines and monoclonal antibodies, but omits more ambitious approaches.

Veterans Affairs' Whole Health System of Care for Transitioning Service Members and Veterans.

The Department of Veterans Affairs (VA) has launched an organization-wide transformation to a Whole Health System of Care that will ideally begin at the time of transition from active duty through the end of a Veteran's life. A brief history and overview of the Whole Health approach are provided along with selected evaluation results and planned initial actions as a result of the Total Force Fitness-Whole Health Summit held in March 2022. More work is required to strengthen the natural linkages between the Department of Defense's Total Force Fitness and Veterans Affairs' Whole Health approach to care. The Total Force Fitness-Whole Health collaboration is a model of whole-person care for the nation.

Identifying bureaus with substantial personnel change during the Trump administration: A Bayesian approach.

Presidents and executive branch agencies often have adversarial relationships. Early accounts suggest that these antagonisms may have been deeper and broader under President Trump than under any recent President. Yet careful appraisals have sometimes shown that claims about what President Trump has done to government and politics are over-stated, require greater nuance, or are just plain wrong. In this article, we use federal employment records from the Office of Personnel Management to examine rates of entry and exit at agencies across the executive branch during President Trump's term. A key challenge in this endeavor is that agencies vary in size dramatically, and this variability makes direct comparisons of rates of entry and exit across agencies problematic. Small agencies are overrepresented among agencies with large and small rates. Yet small agencies do important work and cannot simply be ignored. To address such small-area issues, we use a Bayesian hierarchical model to generate size-adjusted rates that better reflect the fundamental uncertainty about what is happening in small agencies as well as the substantial likelihood that these entities are less unusual than raw statistics imply. Our analysis of these adjusted rates leads to three key findings. First, total employment at the end of the Trump administration was largely unchanged from where it began in January of 2017. Second, this aggregate stability masks significant variation across departments, with immigration-focused bureaus and veterans-affairs bureaus growing significantly and certain civil-rights focused bureaus exhibiting signs of stress. Finally, compared to the first terms of Presidents Bush and Obama, separation rates under President Trump were markedly higher for most agencies.

Evaluation of Posttraumatic Stress Disorder and Acute Stress Disorder VA/DoD Clinical Practice Guidelines Training.

INTRODUCTION: This study evaluated the use of an online learning platform [Joint Knowledge Online (JKO)] for dissemination of the Veterans Affairs and Department of Defense Clinical Practice Guidelines for Management of Posttraumatic Stress Disorder (PTSD) and Acute Stress Disorder (ASD). User satisfaction with the training program was assessed, users were asked to estimate their knowledge base about PTSD and ASD, and users provided comments about how they might use the course material in their clinical practice. MATERIALS AND METHODS: A total of 4,442 users took at least one of three courses offered via JKO related to the PTSD Clinical Practice Guidelines (CPG) between July 1, 2019 and June 25, 2020. A total of 1,663 users took the post-test after the JKO courses and 235 applied to a second website (J7) which granted Continuing Education (CE) credits. Data were gathered from the JKO post-course survey, as well as the J7 course survey, which also asked for respondents' written comments. RESULTS: User satisfaction was analyzed using the JKO survey Likert scale data for each course, and results found most users rated the courses as "good" or "great." Users were also asked to evaluate their knowledge about PTSD management before and after the course. Results from all three courses showed a statistically significant change in pre-post knowledge with a medium effect size. Thematic analysis was performed on the write-in comments from each course. Comments indicated participants found the assessment tools provided in the courses to be of particular value. CONCLUSIONS: The VA/DoD's online learning platform (JKO) was a user-friendly, effective tool for training users on PTSD and ASD clinical practice guidelines. Users were satisfied with their experience of the trainings on JKO and improved their knowledge base about the CPG. This study did not evaluate patient data for CPG compliance, but the future study may benefit from these outcomes to demonstrate provider adherence to the guidelines.

Integrative Serum Metabolic Fingerprints Based Multi-Modal Platforms for Lung Adenocarcinoma Early Detection and Pulmonary Nodule Classification.

Identification of novel non-invasive biomarkers is critical for the early diagnosis of lung adenocarcinoma (LUAD), especially for the accurate classification of pulmonary nodule. Here, a multiplexed assay is developed on an optimized nanoparticle-based laser desorption/ionization mass spectrometry platform for the sensitive and selective detection of serum metabolic fingerprints (SMFs). Integrative SMFs based multi-modal platforms are constructed for the early detection of LUAD and the classification of pulmonary nodule. The dual modal model, metabolic fingerprints with protein tumor marker neural network (MP-NN), integrating SMFs with protein tumor marker carcinoembryonic antigen (CEA) via deep learning, shows superior performance compared with the single modal model Met-NN (p < 0.001). Based on MP-NN, the tri modal model MPI-RF integrating SMFs, tumor marker CEA, and image features via random forest demonstrates significantly higher performance than the clinical models (Mayo Clinic and Veterans Affairs) and the image artificial intelligence in pulmonary nodule classification (p < 0.001). The developed platforms would be promising tools for LUAD screening and pulmonary nodule management, paving the conceptual and practical foundation for the clinical application of omics tools.

Massive climate and health bill also benefits U.S. energy labs.

Major physics projects and national lab infrastructure will get $1.5 billion over 5 years.

From urban dust and marine sediment to Ginkgo biloba and human serum-a top ten list of Standard Reference Materials (SRMs).

During the past 40 years, the National Institute of Standards and Technology (NIST) has developed over 180 natural matrix Standard Reference Materials® (SRMs) for the determination of trace organic constituents in environmental, clinical, food, and dietary supplement matrices. A list of the Top Ten SRMs intended for organic analysis was identified based on selection criteria including analytical challenge to assign certified values, challenges in material preparation, novel matrices, longevity, widespread use, and unique design concept or intended use. The environmental matrix SRMs include air particulate matter, marine sediment, mussel tissue, and human serum with the focus on contaminants such as polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), chlorinated pesticides, and polybrominated diphenyl ethers (PBDEs). Human serum and plasma SRMs for clinical diagnostic markers including vitamin D metabolites represent clinical analysis, whereas infant formula, multivitamin/multielement tablets, and Ginkgo biloba constitute the food and dietary supplement matrices on the list. Each of the SRMs on the Top Ten list is discussed relative to the selection criteria and significance of the material, and several overall lessons learned are summarized.

Improving Health Risk Assessment as a Basis for Public Health Decisions in the 21st Century.

One-fifth of the way through the 21st century, a commonality of factors with those of the last 50 years may offer the opportunity to address unfinished business and current challenges. The recommendations include: (1) Resisting the tendency to oversimplify scientific assessments by reliance on single disciplines in lieu of clear weight-of-evidence expressions, and on single quantitative point estimates of health protective values for policy decisions; (2) Improving the separation of science and judgment in risk assessment through the use of clear expressions of the range of judgments that bracket protective quantitative levels for public health protection; (3) Use of comparative risk to achieve the greatest gains in health and the environment; and (4) Where applicable, reversal of the risk assessment and risk management steps to facilitate timely and substantive improvements in public health and the environment. Lessons learned and improvements in the risk assessment process are applied to the unprecedented challenges of the 21st century such as, pandemics and climate change. The beneficial application of the risk assessment and risk management paradigm to ensure timely research with consistency and transparency of assessments is presented. Institutions with mandated stability and leadership roles at the national and international levels are essential to ensure timely interdisciplinary scientific assessment at the interface with public policy as a basis for organized policy decisions, to meet time sensitive goals, and to inform the public.