Data Analysis
Articles tagged with Data Analysis
Tiny ocean life helps scientists estimate whale prevalence off the California coast
Building density, not trees, was strongest predictor of home loss in los angeles firestorms, finds new Cal Poly study
Smarter sensors save time and energy
Sustainable carbon additives offer eco-friendly solution to $2.5 trillion global corrosion problem
Researchers are exploring the use of sustainable carbon-based additives to replace toxic coatings and prevent corrosion on modern steel infrastructure. The proposed solutions aim to reduce environmental damage while protecting infrastructure worth over $2.5 trillion annually.
Causes of excess deaths in the US compared with other high-income countries
Birth after uterus transplant
A single-center study demonstrates uterus transplant feasibility in multidisciplinary centers, supporting its use for women with absolute uterine factor infertility. Ongoing reporting and data sharing will refine risk estimates and optimize patient counseling.
A physics explanation of why US elections keep ending 50:50 – and why more spending won't change that
A physics-inspired model suggests that spending above $1.8 million in US House races leads to increased polarization without changing the election outcome. Below this threshold, social dynamics shape outcomes, while higher spending only deepens polarization.
A new R package facilitates the generation of flowcharts for research studies
A new R package, 'flowchart', facilitates the generation of flowcharts directly from study data, streamlining a laborious process. The tool allows researchers to create clear, publication-ready diagrams in just a few steps within a fully reproducible workflow.
Impact of removing the universal hepatitis B birth-dose vaccination in the US
Targeted birth-dose vaccine recommendation may increase neonatal HBV infections unless maternal screening improves or infant vaccination coverage increases. Universal screening and vaccination remain essential safeguards against these infections.
Suicide mortality among adolescents and young adults after launch of a suicide and crisis lifeline
The study found significant reductions in suicide mortality among adolescents and young adults after the US launched its 988 Suicide and Crisis Lifeline. Larger reductions were observed in states with the highest adoption of the 988 Lifeline services.
Young-onset colorectal cancer mortality by education
A nationwide study reveals that individuals with lower educational attainment are more likely to die from colorectal cancer at a younger age. The disparity in young-onset CRC mortality nearly doubled over the past three decades among those with 12 years or less education compared to those with 16 or more years of education.
NTU Singapore scientists invent AI-powered biochip that detects genetic markers in 20 minutes
A team of scientists from NTU Singapore has developed a new biochip that, when paired with Artificial Intelligence (AI), can detect quickly and accurately extremely small amounts of microRNAs. The device can cut detection time from hours to 20 minutes.
AI gives doctors early warning of disease “tipping points” — often from a single patient sample
Researchers develop dynamics-driven models to identify disease transitions before symptoms appear, transforming real-time care and personalized treatment. AI systems analyze health data to detect
Heat from traffic is contributing to rise in city temperatures, new study finds
A new study by the University of Manchester has developed a way to measure the impact of urban traffic on city temperatures, revealing that everyday vehicle use can raise temperatures in cities. The researchers found that traffic heat increases simulated air temperatures by around 0.16°C during summer and 0.35°C in winter.
Reported 2025 drug overdose ‘spike’ was an illusion, new study finds
A new Northwestern University study confirms that US drug overdose deaths have continued to decline following a peak in August 2023, contrary to speculation of manipulated CDC data. The study highlights the importance of accurate data for public health response and calls for greater transparency in federal data systems.
Medicare spending implications for semaglutide under voluntary price agreements
A lower semaglutide price could generate savings that offset the cost of treating an additional 550,000 to 3.6 million Medicare beneficiaries eligible for expanded obesity-indication coverage. This voluntary price agreement may lead to substantial savings for Medicare spending on semaglutide treatment.
Study in Chinese Medical Journal shows modified phoenix sepsis score improves mortality prediction in children
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.
Lead-attributable cardiovascular disease burden
A longitudinal analysis of 42,000 participants found higher bone lead levels associated with significantly increased cardiovascular disease mortality risk. The study highlights the urgent need for strengthened surveillance, regulation, and remediation to reduce the lead-attributable burden worldwide.
Cardiorenal outcomes with tirzepatide compared with dulaglutide in patients with diabetes and cardiovascular disease
A post hoc analysis found that tirzepatide was associated with a lower incidence of a broad composite cardiovascular and kidney endpoint. The study compared tirzepatide with dulaglutide in patients with diabetes and established cardiovascular disease.
KTU researchers develop a model that improves machine understanding of the real world
A new model combines multiple ways of analysing 3D data, integrating local and global perspectives to interpret complex environments more reliably. The system improves detection of small or partially visible objects in real-world situations, enhancing safety in autonomous systems.
Tropical archaeology: advanced dating method reveals age of Pacific coral architecture
A team of archaeologists used uranium–thorium dating to establish precise construction timelines for houses built out of coral in French Polynesia. The findings reveal previously hidden patterns of architectural development and cultural life in Pacific societies, challenging earlier theories about coral reuse.
Global, China–US burden of hematological malignancies: New data reveals trends and risks
Hematological malignancies are a major global health challenge, with the US and China experiencing distinct epidemiological patterns. The study reveals that NHL is the most common type globally and in the US, while leukemia leads in incidence in China.
Sleep health dimensions from wearables and transdiagnostic mental health in young adolescents
The study identified six sleep health dimensions in young adolescents: irregularity, timing, duration, social jetlag, weekend oversleep, and continuity. Greater irregularity was associated with higher concurrent transdiagnostic mental health symptoms, while shorter duration was linked to increased symptoms at follow-up.
National estimates of pediatric sepsis in US hospitals using clinical data
A new study has estimated pediatric sepsis in the US, revealing a significant impact on pediatric hospitalizations. The study found that sepsis affects approximately 1.3% of hospitalizations, resulting in over 18,000 cases and more than 1,800 deaths annually.
OCT powered by AI-based analytics gives a glimpse into wound healing
Using AI-driven analytical methods, researchers have created a custom OCT system that enables the objective measurement of wound progress over time. The platform shows that stiffer mechanical properties improve wound healing outcomes, with faster transition to intact regenerated tissue.
Jeonbuk National University researchers develop DDINet for accurate and scalable drug-drug interaction prediction
Jeonbuk National University researchers have developed DDINet, a lightweight and scalable model that can accurately predict drug-drug interactions for new, unseen drugs. This approach avoids overfitting to training data and is designed to handle binary and multi-classification tasks.
Maternal acetaminophen use and child neurodevelopment
A study in Taiwan found a positive association between maternal prenatal acetaminophen use and increased risk of attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorders (ASDs) in offspring. However, associations were not observed in sibling-matched analyses, suggesting unaddressed sources of bias.
Singapore sees increase in breast cancer cases but fewer deaths
Singapore's breast cancer incidence is rising, but mortality rates are falling, mirroring global trends. The country's strong healthcare system and high-screening participation have contributed to improved survival rates.
University of Ottawa Heart Institute, the University of Ottawa and McGill University launch ARCHIMEDES to advance health research in Canada
The University of Ottawa Heart Institute, McGill University, and the University of Ottawa have launched ARCHIMEDES, a national health data platform providing Canadian researchers with secure access to diverse health data. The platform enables collaboration, supports advanced analyses, including AI algorithms, and prioritizes public trust.
Outcomes of older adults with advanced cancer who prefer quality of life vs prolonging survival
A study found that only 9% of older adults with advanced cancer prioritize extending survival over maintaining quality of life. The lack of responsiveness of the current oncology care delivery system to patient preference may be a significant issue. This highlights the need for care system changes to prioritize patient needs.
A decision-support system to personalize antidepressant treatment in major depressive disorder
A decision-support system improved depressive and anxiety symptoms, increased medication adherence, and reduced symptoms over time for patients with major depressive disorder. The system used clinical and demographic predictors to tailor treatment, resulting in better outcomes for patients compared to usual care.
Improving data science education using interest‑matched examples and hands‑on data exercises
This study assesses the educational impact of introducing interest-matched examples in data science education, showing a positive effect on students' motivation and understanding. The findings suggest that instructional approaches grounded in intrinsic motivation theory can improve data science education quality.
Unpredictable play helps pick a winner in football
A new study found that teams that move the ball unpredictably across the full field tend to succeed more than those that confine their play to a few hotspots. The researchers used an information-theoretic metric called Spatial Event Distribution Randomness (EDRan) to analyze event data from top-tier football competitions.
Big data and human height: ISTA scientists develop algorithm to boost biobank data retrieval & analysis
Researchers from ISTA developed an algorithm that can extract and analyze information from the world’s most extensive biobank with unprecedented accuracy and speed. The method, dubbed gVAMP, enhances the framework's ability to extract complex information from the dataset at hand, providing a detailed overview of the effects on a trait ...
With the right prompts, AI chatbots analyze big data accurately
Researchers at UCSF and Wayne State University found that generative AI tools can perform orders of magnitude faster than human teams in analyzing health data. Junior researchers paired with AI generated viable prediction models in minutes, outperforming experienced programmers in hours or days.
New study in JNCCN unlocks important information about how to treat recurring prostate cancer
Researchers found that PSMA PET/CT scans can help guide treatment planning and improve long-term outcomes for patients with recurring prostate cancer. The study suggests that incorporating these scans into routine care may lead to better results and reduced side effects.
New UT Arlington center prepares students for space careers
The University of Texas at Arlington has launched the Center for Space Physics and Data Science, expanding undergraduate and graduate degree programs in space physics and data science. The center will train students across six focus areas, preparing them for careers in the rapidly growing space industry.
ACC streamlines cardiac accreditation for international hospital systems
The American College of Cardiology's Global Quality Solutions program now allows international hospitals to use approved internal data to meet accreditation requirements. This update enables hospitals to internally collect and submit aggregated data directly into ACC Accreditation tools, streamlining the accreditation process.
Oral semaglutide and heart failure outcomes in persons with type 2 diabetes
A recent study published in JAMA Internal Medicine found that oral semaglutide has a potential benefit in reducing heart failure events among people with type 2 diabetes and existing heart failure. The data support the use of oral semaglutide as a treatment option for these patients.
Scientists empower an AI foundation model to accelerate plant research
A new method called Distributed Cross-Channel Hierarchical Aggregation (D-CHAG) accelerates analysis of hyperspectral data, enabling faster AI-guided discoveries for high-performing crops. The approach reduces computational bottleneck and increases efficiency, making it possible to extract subtle patterns in plant physiology.
High-deductible health plans and mortality among cancer survivors
A cross-sectional analysis of nationwide population data reveals that high-deductible health plans are associated with worse overall and cancer-specific survival among cancer survivors. The study suggests that financial disincentives for medical care may lead to delayed or foregone necessary care, ultimately worsening cancer outcomes.
US state-level prevalence of adult obesity by race and ethnicity from 1990 to 2022 and forecasted to 2035
The study analyzed US state-level adult obesity prevalence from 1990 to 2022, showing a significant increase to 42.5% by 2022 and forecasted to 46.9% by 2035. Disparities in obesity rates vary substantially by race and ethnicity.
University of Virginia launches collaboratory on data, AI, and health
The University of Virginia has launched a cross-Grounds initiative to advance health and healthcare through data and artificial intelligence. The Collaboratory aims to accelerate discovery, share expertise, and lower collaboration barriers across disciplines.
Intelligent Medicine recognized among China’s top internationally influential journals
The journal has been recognized for its significant international citations, with over 3 million documented in the past year. Its editorial leadership and publishing model ensure rigorous peer review and a multidisciplinary perspective, supporting high-quality research on AI and clinical applications.
Data-driven analysis reveals three archetypes of armed conflicts
Researchers used machine learning to identify conflict labels from data, discovering three archetypes with distinct geographic, demographic, and economic properties. The study emphasizes the limitations of existing conflict classifications and suggests new approaches for predicting conflict severity.
How can AI help us study live cells without damaging them in our pursuit of understanding them?
Researchers developed AI-powered in silico labeling to analyze cell images without staining, preserving cell health. The system leverages context, such as cell shape and position, to accurately stain rare processes like cell division.
Chemist proposes shared “model proteins” to improve reproducibility in protein science
A chemist proposes a framework for shared model proteins to improve reproducibility and coordination in protein science. The proposal includes five widely used proteins and aims to establish minimal reporting requirements and curated reference datasets.
Trends in county-level childhood vaccination exemptions in the US
This study reveals an increase in nonmedical childhood vaccination exemptions from 2010 to 2024, driven by the COVID-19 pandemic, with wide regional disparities.
WhatsApp data show: We often deceive ourselves
A study by Bielefeld University used anonymized WhatsApp metadata to show that personalized feedback can help people understand their communication habits. Many participants adjusted their views on response speed and chat participation after seeing data-based visualizations.
UW researchers analyzed which anthologized writers and books get checked out the most from Seattle Public Library
Researchers found science fiction and genre elements were popular among readers, with top authors including Ursula K. Le Guin and Octavia E. Butler. The analysis also revealed trends driven by news events and the selection of canonical authors for the Seattle Reads program.
Forecasting the impact of fully automated vehicle adoption on US road traffic injuries
A simulation study forecasted potential injury reductions in the US with AV adoption, suggesting a possible decrease in road traffic injuries. However, predicted confidence intervals remain broad, and no scenario reduced injuries outside of these bounds.
Semaglutide and hospitalizations in patients with obesity and established cardiovascular disease
In a prespecified exploratory analysis of the SELECT randomized clinical trial, semaglutide demonstrated significant reductions in hospital admissions and overall time spent in hospital. This finding suggests that semaglutide has broader health benefits for patients with obesity and established cardiovascular disease.
Alcohol-related hospitalizations from 2016 to 2022
The study found a significant increase in alcohol-related hospitalizations between 2016 and 2022, with rising mortality rates and extended lengths of stay. Preventive efforts are needed to reduce population-level alcohol consumption and improve treatment outcomes for individuals with alcohol use disorder.
Mass shootings trigger starkly different congressional responses on social media along party lines, NYY Tandon study finds
The study analyzed 785,881 total posts from 513 members of the 117th Congress, identifying 12,274 gun-related posts using keyword-based filtering. Democrats respond directly to shooting events within 48 hours, while Republicans show no such response.
Marshall University and University of Missouri researchers co-develop new deep learning platform to advance precision medicine
Researchers developed G2PDeep, a web-based platform integrating six molecular data types to predict complex health outcomes. The platform enables better identification of omics-based molecular markers and improves personalized treatment strategies.
New video dataset to advance AI for health care
Researchers have launched a new multimodal medical dataset, Observer, capturing anonymized, real-time interactions between patients and clinicians. The dataset links video, audio, transcripts, and electronic health records to study subtleties like body language and environmental factors affecting care.
Time burden in patients with metastatic breast and ovarian cancer from clinic and home demands
Studies show that patients with advanced ovarian and metastatic breast cancer dedicate approximately 7 hours per week to cancer-related tasks. Most participants report performing these tasks daily, impacting their time burden. The use of a mobile app facilitated the collection of detailed time-use data.
Refining the uncharted landscape of human transcription factors: a strategic framework for future prioritization
A study analyzed large-scale human ChIP-seq data to identify unmeasured transcription factor-tissue/cell type pairs, revealing significant gaps in current knowledge. These findings indicate that essential regulatory mechanisms may have been overlooked, emphasizing the need for strategic prioritization of measurement targets.
Researchers reveal bias in a widely used measure of algorithm performance
A new study reveals that Normalized Mutual Information (NMI), a widely used metric for algorithm performance, can produce biased results. The researchers developed an asymmetric, reduced version of the mutual information metric to eliminate biases and improve comparison across fields.