Articles tagged with Data Analysis
A new study uses machine learning to analyze temperament data from 4,438 babies to classify their age and gender. While algorithms struggle to distinguish between infants under 48 weeks old, accuracy improves as they age, suggesting that gender differences in infancy become more apparent around this time.
Institutional landlords have raised rent prices in neighborhoods where they own properties, but also improved neighborhood quality and safety. However, these improvements come at a cost to affordability, as rents increased by an average of 0.51% in overlapped neighborhoods.
Researchers developed a new software tool, called 'meta-transcriptome detector,' that integrates genetic sequencing analysis of hosts and their microbiomes. The tool enables analysis of gene expression activity in both microbes and hosts simultaneously, allowing researchers to spot relationships between them.
Researchers at the University of Missouri are applying AI to analyze protein dynamics, identifying potential target sites for new drug therapies. The approach can simulate protein changes related to conditions like cancer, enhancing the chances of successful therapies.
Researchers have used a data-sharing innovation to categorise 16 uncertain BRCA variants as benign or likely benign, potentially allowing women with these variants to skip invasive surgeries. This could lead to thousands of people avoiding difficult treatments for no reason.
A new UCLA-led study finds that affirmative action bans in states led to a decline of 37% in the proportion of underrepresented students in public medical schools. This decrease had a devastating impact on the diversity of the physician workforce, which is crucial for providing equitable healthcare services.
A new study published in BMC Public Health found that people who reported feeling lonely often were significantly more likely to encounter unemployment later. The research also confirmed previous findings that the reverse is true – people who were unemployed were more likely to experience loneliness later.
A new study found a bi-directional relationship between gastrointestinal issues and internalized symptoms in children with autism, highlighting the importance of the gut-brain axis. The research aims to develop personalized treatments for individuals with autism experiencing gastrointestinal problems.
A study of over 15 million COVID-19 vaccine doses found a potential link between vaccination and the development of Guillain-Barré Syndrome, a rare autoimmune disorder. The research assessed the risk of GBS after vaccination with Janssen, Pfizer-BioNTech or Moderna COVID-19 vaccines.
A team of researchers developed a prognostic model using automated brain scans and machine learning to predict survival and recovery in severe TBI patients. The model accurately predicted risk of death and unfavorable outcomes at six months after the injury, potentially improving clinical decision-making and patient care.
A recent study by MUSC shows that quality improvement efforts have decreased complications for all patients and narrowed the gap in surgical outcomes between black and white patients. The research, led by Dr. Thomas Curran, analyzed data from over 30,000 patients who underwent surgery between 2015 and 2020.
Researchers found a notable decline in postpartum insurance loss during the pandemic, primarily due to growing Medicaid enrollment. The study suggests that large increases in consistent Medicaid coverage contributed to this trend.
The Imaging X-ray Polarimetry Explorer (IXPE) mission enables new measurements of cosmic X-ray sources, such as pulsars, black holes, and neutron stars. With its state-of-the-art telescopes and detectors, IXPE will provide high-quality polarization data of various sources, including supernova remnants, active galaxies, and blazars.
Researchers are studying moths to understand agile decision-making in complex environments, aiming to develop autonomous bio-inspired systems. Meanwhile, a team is exploring origami- and kirigami-inspired flexible structures for multifunctional applications.
A doctor's visit from the future describes patient care in 2042, where diagnosis and treatment are personalized based on individual biological abnormalities. Researchers believe this approach could lead to more effective treatments for neurodegenerative disorders.
A new study from the University of Kansas found that effective change agents and realistic timelines are crucial for successful change implementation. The study identified six key organizational change management practices to achieve high adoption of change initiatives in the AEC industry.
A study examined the frequency of FDA's extrapolation of pivotal trial data to approved indications, finding it occurred in 45% of cases. This practice may lead to different clinical results in real-world use compared to trials.
A recent study analyzed data from 421 adults with type 2 diabetes and found that achieving optimal blood pressure, glucose, cholesterol, and body weight levels can significantly improve life expectancy. By targeting these key health metrics, individuals with type 2 diabetes may be able to extend their lifespan.
A study by Cornell researchers found that recreational marijuana access significantly decreases prescriptions for pain, depression, anxiety, sleep, psychosis, and seizures in state Medicaid programs. This reduction could lead to significant cost savings for state Medicaid programs.
A new KAUST study uses machine learning to predict disease spread with high accuracy, dynamically incorporating latest data without human bias. This approach offers a promising alternative to conventional models, providing a more accurate story of the underlying epidemic data.
A University of Cincinnati study found that socioeconomic factors have a significant impact on depression treatment outcomes. Patients with lower incomes, less education, and minority backgrounds tend to have worse treatment outcomes even when receiving equal access to treatment.
Researchers identify magma intrusion as cause of 85,000-quake swarm in Antarctica, largest ever recorded. The swarm peaked with two large earthquakes before subsiding, marking the end of a sustained magmatic unrest.
Researchers have identified a key protein molecule that plays a major role in the accumulation of brain cholesterol, triggering Alzheimer's disease. The peptide inhibitor ATAD3A oligomerization promotes neuropathology and cognitive deficits in Alzheimer's disease models.
A study by Tokyo University of Science researchers used WCNs with increasing n values to find features of language that cannot be analyzed using existing WCNs. They found important features in networks with more than three co-occurrences, independent of text data.
The UMass Amherst-based Forecast Hub has generated the most consistently accurate predictions of pandemic deaths at the state and national level. The ensemble model combined individual forecasts, demonstrating improved robustness and ability to overcome individual model biases.
A machine learning model has been trained to accurately identify individuals with post-traumatic stress disorder (PTSD) by analyzing text data. The model achieved an 80% accuracy rate in distinguishing between those with and without PTSD. This breakthrough could lead to the development of a cost-effective screening tool for health prof...
Researchers develop a new method to reconstruct the states of complex nonlinear systems based on time series data. The approach optimizes reconstruction parameters by focusing on the geometric structure of attractors, resulting in improved accuracy.
A study of 3,900 older adults found factors associated with decreased physical activity include older age, living alone, obesity, adverse health conditions, and poor physical functioning. The results highlight the need for interventions targeting these barriers to promote healthy lifestyles in older age.
A national study of thousands of young people reveals that state school pupils have similar mental health and life satisfaction to private school counterparts. After controlling for socio-economic background and ethnicity, the difference in happiness between the two groups vanished.
A California study found that adults living with handgun owners had twice the homicide rates compared to those without, with most victims being women. Survivors of nonfatal gunshot injuries also experienced significant healthcare costs and worsening mental health.
The study found that TAVR resulted in significantly less structural valve deterioration after five years compared to SAVR. Patients with structural valve deterioration were at about twice the risk of death or rehospitalization as those without, highlighting the benefits of TAVR in reducing mortality and hospitalization risks.
A study using the nation's largest COVID-19 data resource found that the vaccine protects most cancer patients from getting COVID, but those with certain types of cancer have a higher risk of breakthrough infections. The research also highlights the importance of continued vaccination efforts to protect cancer patients.
The COVID-19 pandemic significantly increased delivery of mental health counseling through telehealth, with 47.9% of outpatient visits transitioning online by December 2020. Unequal access to mental health care was found among older adults, Black and Hispanic people, and those with lower incomes.
A new study suggests that children under 5 infected with Omicron have a lower risk of severe health outcomes compared to those infected with the Delta variant. The study found that Omicron is 6-8 times more infectious than Delta, but resulted in fewer hospitalizations and mechanical ventilation cases.
Researchers from North Carolina State University have released a dataset providing detailed information on COVID-19 vaccine shipments and wastage across the US. The data aims to inform modeling and decision-making to optimize vaccine supply chains.
The study reveals a narrowing gap between cancer profiles in China and the USA, with converging trends in lung, breast, and colorectal cancers. China's cancer burden is expected to rise, while the US has seen reduced rates since the 1990s due to effective prevention strategies.
A study by ISGlobal used an electronic personal health record system to collect data on migrant populations arriving in southern Europe between 2016 and 2019. The results showed a young and healthy population with acute respiratory infections, HIV/TB, and chronic conditions such as diabetes. The system proved useful for collecting effe...
A new algorithm using AI and data analytics predicts bowel cancer patients' length of stay, readmission rates, and mortality, enabling healthcare providers to optimize patient care. The technology has been proven effective with an accuracy rate above 80%, and further development is planned with larger datasets.
Researchers analyzed nearly 100,000 pregnancies and found no association between COVID-19 vaccination and poor birth outcomes. The study provides further evidence on the safety of mRNA vaccines for pregnant individuals.
A retrospective study found that cases of metabolic dysfunction-associated fatty liver disease increased since before the COVID-19 pandemic. Late-night meals and higher alcohol intake were identified as independent predictors of developing MAFLD, especially among working-age individuals.
Researchers found that opening stadiums to fans with safety protocols in place did not lead to an increase in local Covid case counts. The study used synthetic control method to analyze data from 16 stadiums, which mirrored the trajectory of surrounding counties without stadiums.
A recent study found that approximately 1 in 3 heart attack survivors experience significant mental decline in the days and months following their heart attack. Cognitive deficits can impact quality of life and treatment adherence, emphasizing the need for cardiologists to monitor patients regularly.
Researchers found that women are less likely to undergo common heart procedures and more likely to die in the hospital after receiving them. The study analyzed data from over 2 million hospitalizations for heart procedures between 2016 and 2019, revealing significant disparities in treatment and outcomes based on sex and race.
Researchers warn of machine learning bias when data published for one task is used to train algorithms for a different one. This can lead to compromised integrity and 'overly optimistic' results in medical imaging applications.
A study by Jason Hickel reveals that the global North appropriates vast resources and labor from the global South through price differentials in international trade, resulting in a net drain of $10.8 trillion in 2015. This unsustainable practice perpetuates global inequality and ecological breakdown.
Researchers at UBCO's School of Engineering have developed a new, faster method for analyzing toxic waste materials using fluorescence spectroscopy and convolutional neural networks. This method can detect key toxins such as naphthenic acids in oil sands samples, providing a low-cost alternative to current methods.
Researchers used a contrast pattern mining algorithm on publicly available data from 16,000 participants in the T1D Exchange Clinic Registry. The study found individuals with an immediate family history of Type 1 diabetes were more frequently diagnosed with hypertension and other co-occurring conditions.
A study using data science and mathematical models identifies the most suitable rehabilitation method for each patient with osteoarthritis. The research aims to provide personalized treatment recommendations for healthcare professionals, ultimately leading to more effective care for patients.
A team of scientists successfully investigated the electronic structure of tautomeric mixtures using inelastic X-ray scattering (RIXS) at BESSY II. They can now experimentally separate the signal of each individual molecule, providing detailed insight into their functionality and chemical properties.
A global study found symptoms of COVID-19 differ significantly between countries and individuals with underlying health conditions. Researchers analyzed data from 78,299 individuals in 190 countries, revealing varied symptom profiles that can inform clinical practice, public health messaging, and treatment strategies.
A recent study published in JAMA Ophthalmology found that depression is associated with more severe dry eye disease symptoms and overall signs. The analysis of data from a randomized clinical trial revealed this significant connection among 535 participants.
Researchers at West Virginia University are using machine learning and geographic information systems to identify areas with low COVID-vaccine uptake. They aim to pinpoint counties with increased risk of outbreaks, predict where testing is most crucial, and develop targeted interventions to increase testing rates. By acknowledging comm...
A new study at the University of Missouri found that positive teacher-student relationships lead to better teaching, as teachers who demonstrate 'soft' skills like kindness and compassion tend to use high-impact teaching practices. Students who feel cared for by their teacher are more motivated to learn and engaged in the classroom.
A study from University of South Australia found that reading aloud to children can triple a child's resilience at school, particularly for those who have suffered abuse or neglect. The study identified reading as a key factor in supporting children's emotional, social and physical development before they start school.
A study led by University of Illinois Chicago researchers found that structural racism can result in poorer leukemia outcomes for Black and Hispanic patients. Neighborhood disadvantage was a significant predictor of leukemia-specific death, accounting for nearly all the Black-white disparity in AML-related death.
A retrospective analysis found that socioeconomically disadvantaged older adults are at a higher risk of decline in function and cognition after an intensive care unit hospitalization. The study highlights the need to prioritize low-income seniors in rehabilitation and recovery efforts after critical illness.
A new study using a dataset of over 36,000 adults found that light-to-moderate alcohol consumption was associated with reductions in overall brain volume. The association grew stronger with increasing levels of alcohol consumption, comparable to aging two and three years, respectively.
Researchers found that polymer molecules interact with the flow around gas bubbles, causing a sudden increase in velocity. This knowledge can be used to predict oxygen input and design equipment for industries like biotechnology and pharmaceuticals.
Researchers from Shibaura Institute of Technology analyzed 18 Tokyo Metropolitan Area railway lines to understand the impact of in-vehicle congestion on efficiency. They found that incorporating congestion rates into efficiency analysis can help develop better public transit strategies, leading to higher service levels and sustainability.
A new study found that a higher minimum wage was associated with fewer people defaulting on their rent payments, particularly among those at the lower end of the housing expense market. However, landlords responded by increasing rent payments, offsetting some but not all of the increased income.