Articles tagged with Risk Assessment
A new study suggests that both very low and very high resting heart rates are associated with an increased risk of stroke. The research found a U-shaped pattern, with stroke risk lowest at heart rates of 60-69 bpm and highest at below 50 bpm or above 90 bpm.
Hospital-based shootings in the US have increased over 25 years, with large hospitals and urban areas being high-risk settings. The study emphasizes the need for hospital-specific prevention strategies, including weapons screening technology, to address rising firearm violence.
Dan M. Frangopol has been awarded the third ASCE Wellington Prize for his groundbreaking study on probabilistic connectivity assessment of road networks subjected to ground motion and tsunamis. The research provides a more realistic assessment of network performance under extreme conditions, helping engineers and planners identify vuln...
A comprehensive survey of 4,000 adults in northern China reveals alarming gaps in public knowledge about preventing tick-borne diseases. Rural residents and high-risk groups paradoxically show the lowest protective awareness, highlighting a critical need for targeted health education interventions.
A new study by Florida Atlantic University researchers highlights the role of urban planning in increasing pedestrian and bicyclist fatalities in the US. The study reveals that everyday destinations like grocery stores and pharmacies along busy roads significantly increase risk of serious injury or death.
Adolescents who follow social media tipsters report higher gambling intention and increased frequency. The study highlights the need for stronger regulation of tipster-related marketing and media literacy programmes to address persuasive strategies and improve risk awareness.
A new study by Femida Handy and Sara Konrath found that voting is associated with reduced mortality risk in older adults for up to 15 years. Voting predicts a lower risk of mortality, even when the candidate loses, suggesting that voting itself is more important than who was voted for.
Researchers propose new method to capture complex human movement in public spaces, addressing limitations of traditional approaches. By standardizing data measurement, they aim to improve crowd safety predictions and design safer spaces.
The CA-MTransU-Net architecture achieves superior mIoU of 87.00% and faster inference speeds compared to benchmark algorithms, providing a scalable solution for post-fire damage assessment in cloud-prone landscapes.
Researchers propose a foundational framework to help multi-agent, connected systems decide what information they can trust before acting. The 'cy-trust' concept assigns a numerical trust value between 0 and 1 to data from other agents based on sensing, context, network behavior, and past experience.
Researchers used machine learning methods to identify safe time windows for outpatient stem cell therapy in multiple myeloma patients. The study found that this approach can predict adverse events and enable more precise risk assessment.
Researchers evaluated the performance of the Phoenix Sepsis Score for predicting in-hospital mortality among pediatric ICU patients in China. They found that a modified version, PSS+, showed substantially improved discrimination without sacrificing clinical usability.
Researchers developed a machine learning model to predict 28-day mortality in patients with sepsis complicated by acute respiratory failure. The model demonstrated strong discrimination for predicting mortality, with key variables including oxygenation indices, serum albumin levels, and disease severity scores.
Researchers developed an AI tool to predict patients at risk of intimate partner violence, using data from medical visits. The tool achieved high accuracy in detecting IPV among patients, with the multimodal fusion model outperforming others, detecting risk 88% of the time.
A new study found that high levels of air pollution can amplify the risk of suicide associated with heat stress, especially during the warm season. The researchers analyzed 7,500 suicide cases in Utah and found a strong synergistic effect of heat and nitrogen dioxide.
A new study proposes a framework for connecting AI risk prediction systems with scheduling platforms to detect emerging risks and adjust project plans before delays occur. This approach aims to close the gap between early warning and actionable response, enabling more resilient project delivery.
AI language models can extract and integrate information from vast amounts of unstructured environmental data, identifying pollutants and their toxic effects. While still in its early stages, the application of LLMs in aquatic risk assessment has the potential to support more dynamic and data-driven risk management strategies.
A new multicenter study by Kumamoto University and National Cerebral and Cardiovascular Center found that working-age adults with shorter sleep durations are more likely to develop atrial fibrillation. In contrast, retirees showed no significant association between sleep duration and AF risk.
A groundbreaking study found that frail men have a significantly higher risk of dying within one year after a heart attack, challenging the prevailing narrative that high clinical risk is predominantly a female issue. The research highlights the need for sex-informed care pathways to address this disparity.
Researchers are using advanced DNA sequencing technologies to monitor environmental reservoirs of antibiotic resistance genes and assess their impact on human health. The study highlights the importance of integrating gene detection, host identification, and quantitative analysis to evaluate environmental antibiotic resistance.
A new 3D model of the fault beneath the Marmara Sea reveals where a future major earthquake could take place, helping improve earthquake forecasts. The study uses magnetotelluric measurements to identify distinct high-resistivity and low-resistivity zones, shedding light on ongoing processes of fault mechanics.
The BfR children's book aims to educate children from grade 1 upwards about the dangers of contaminated food and how to avoid cross-contamination. The book features colorful illustrations and teaches kids how to defeat 'Campys' and other bacteria and viruses.
A new review highlights the challenges of composite pollution in facility agriculture, where heavy metals, microplastics, and antibiotic resistance genes interact to affect soil organisms, crop growth, and consumer health. The authors call for more integrated assessment frameworks and sustainable control strategies.
Researchers have combined molecular imprinting technology with biochar to create materials that can selectively target specific molecules, achieving high adsorption capacity and selectivity. These smart sorbents show promise for efficient pollution control in complex mixtures and at low concentrations.
A recent study published in JAMA Internal Medicine found that a significant majority of Americans will experience cost burdens due to healthcare expenses throughout their lives. The study suggests that policies aiming to reduce out-of-pocket costs could potentially improve the well-being of individuals in the US.
The German Federal Institute for Risk Assessment (BfR) is launching a new study module to investigate the influence of parental nutrition on children's eating habits. The study aims to provide insights into how plant-based diets of parents affect the eating habits and food consumption of children.
A new study found that calcium accumulation in breast arteries and its progression on mammograms can predict future cardiovascular disease. Women with more severe calcification and those whose calcification worsened over time had a higher risk of heart-related events, such as heart attack, stroke, and death.
A new AI-driven framework reimagines chemical risk assessment by merging high-throughput screening, AI-enabled toxicity mapping, and quantitative in vitro–to–in vivo risk modeling. This unified approach enables rapid identification of hazardous chemicals and prediction of risk thresholds.
A breakthrough AI system called OmniPredict can predict human pedestrian behaviors with unprecedented accuracy, revolutionizing self-driving cars and urban mobility. The model combines visual cues with contextual information to anticipate pedestrians' next moves, reducing the risk of accidents and improving traffic safety.
Heavy metals in soil can overestimate real risk to crops, ecosystems, and human health due to low bioavailability. A new review provides a practical framework using tools such as chemical extractants, biological assays, and models to estimate the accessible fraction of metals.
Bahaa Eltahawy's dissertation highlights the importance of integrated cybersecurity strategies for protecting critical infrastructure. The study reveals that current standards have limitations and proposes a model that expands protection into seven domains.
A new genetic study found that people without prior suicidal thoughts or behaviors have fewer psychiatric diagnoses and genetic risk factors for psychiatric conditions compared to those with known suicidality. This suggests that conventional wisdom on how to reduce suicide may need to be rethought.
The BfR is part of a nationwide interdisciplinary surveillance system, OHIS, to monitor antibiotic resistance. The goal is to identify trends and develop targeted measures.
The BfR Federal Institute for Risk Assessment warns of flawed scientific studies and advises critical evaluation. Experts emphasize the need to consider study results in context, as laboratory tests on cells cannot be directly applied to humans.
The Hepatitis E virus has been found to be transmissible between rats and humans, with cases reported in Germany. The virus is primarily transmitted through contaminated food products from pigs and game animals, but its transmission via rat feces is still being investigated.
Researchers found high-engagement social media posts lack essential risk information and promotional elements, potentially eroding patient decision-making. The study highlights the need for fair balance in online advertising to maintain informed consent.
Risk-adjusted mortality declined significantly following the COVID-19 pandemic, resuming prior improvement trends. Patient acuity, measured by case mix index, remained elevated, suggesting a new postpandemic baseline.
Researchers developed two risk prediction models to estimate the risk of death and illicit drug overdose in patients discharged against medical advice. Multimorbidity, heart disease, cancer, homelessness, and opioid use disorder were strong predictors of death and overdose, respectively.
The increasing use of unregulated psilocybin mushrooms poses a pressing need for public education, potency testing, and age-specific risk assessment. Existing clinical data are insufficient to guide harm reduction or policy, highlighting the need for real-world research on psilocybin use.
Researchers found that providing feedback to everyone after the entire simulation ends leads to better learning outcomes. The study's findings suggest that companies can design more effective software tools using this approach, which has been implemented by KnowBe4.
A study found that the Clinical Frailty Scale (CFS) is a quick predictor of patient risk after heart failure administration. The researchers used anonymized patient information from Japan and found that CFS scores were strongly correlated with physical and cognitive impairment, as well as increased mortality risk.
A new study published by Yonsei University reveals that air pollution is a significant contributor to workplace accidents, increasing the risk of accidents and fatalities by 2.6 times when PM2.5 concentrations double. The study estimates economic losses of up to $10 billion annually.
According to the BfR Consumer Monitor, only 10% of respondents expressed concern about raw milk's health risk. Raw milk can transmit pathogens, posing a risk to vulnerable populations such as children, pregnant women, and the elderly. Healthy adults also face an increased risk of mild to severe food poisoning from unboiled raw milk.
A cross-sectional study found that FDA-cleared AI-enabled medical devices lack standardized efficacy, safety, and risk assessment, highlighting the need for dedicated regulatory pathways and post-market surveillance to address these challenges.
Ensemble projections suggest vaccinating high-risk groups reduces disease burden, while broader vaccine availability saves more lives. Averted COVID-19 burden due to vaccination is robust across immune escape scenarios.
Researchers conducted a survey of published studies on the transmission risk of 39 pathogens and diseases, finding that only 7.4% consider hazard, exposure, and vulnerability. The study recommends integrating these components for reliable models and guiding public policies.
A recent study published in the Journal of Safety Research found that rented e-bikes have an eight times higher crash risk than rented e-scooters, calculated based on trip distance. The researchers used GPS data to compare micromobility in seven European cities and found a surprising result.
A comprehensive review of new pollutants in China highlights knowledge gaps and strategic recommendations for pollution control. The study emphasizes the importance of interdisciplinary research and collaborative efforts to address complex environmental challenges.
Researchers from Shibaura Institute of Technology used machine learning algorithms to predict bearing layer depth and assess liquefaction risk. The study found that random forest models outperformed others, especially with increasing spatial data density.
A personalized approach to recommending CPAP machines for patients with obstructive sleep apnea (OSA) may decrease adverse cardiovascular events. However, CPAP use can also increase cardiovascular risk for those with low-risk OSA markers.
Researchers found that mobile users were less likely to click on phishing links compared to PC users, especially for lower-risk URLs. The study suggests that device use settings affect users' risk assessment abilities, leading to more avoidant behavior on mobile devices.
Researchers developed a robust framework using deep learning and contextual data to accurately predict mountaineering accident risks in advance. The model achieved over 60% accuracy for two types of accidents, identifying critical predictors such as time of day, terrain, weather conditions, and climber demographics.
A new analysis suggests that preventive mastectomy is a cost-effective way to reduce the likelihood of developing breast cancer compared to breast screening and medication. Women aged 30 or above with a lifetime breast cancer risk of 35% or more may benefit from this treatment option.
Researchers developed a new testing method to assess floor slipperiness caused by dry contaminants, revealing particles like salt and flour can be just as dangerous as oil or water. The study found that even sparse layers of salt can reduce friction by up to 28%, making tile far slicker than permitted safety thresholds.
The BfR emphasizes that vitamins and minerals are essential but unnecessary additional intake can lead to health issues. The institute also discusses various health risks associated with food supplements, including plant-based ingredients.
A new study from Mass General Brigham researchers found that an average of 21% of teen drivers engage in distracted driving, with many believing their peers drive distracted due to social norms. The study suggests encouraging strategies like 'Do Not Disturb' mode and ensuring teens get adequate sleep can mitigate this behavior.
A large-scale study found no association between medication use and the development of microscopic colitis, contradicting previous findings. SSRIs were linked to a slightly higher risk, but also increased the likelihood of receiving a colonoscopy.
Researchers found that individuals with European ancestry have a higher inflammatory response to the dengue virus, which can lead to severe disease. In contrast, those with African ancestry have a lower inflammatory response, making them less susceptible to severe dengue fever. The study's findings could lead to precision medicine appr...
Australian scientists developed a new method to evaluate the risks posed by toxicants like insecticides in waterways. The Temporal Response Surface (TRS) approach integrates exposure duration into ecosystem protection guidelines, providing a more accurate assessment of delayed and time-cumulative aquatic ecosystem risk.
A circulating tumor DNA-based blood test demonstrated acceptable accuracy for colorectal cancer detection in an average-risk population. However, it struggled to detect advanced precancerous lesions, highlighting the need for further improvements.