Articles tagged with Databases
A new framework, PhysMat AI, integrates physical knowledge into AI for materials discovery, enabling more interpretable and testable predictions. This approach helps move materials discovery beyond correlation-based prediction toward reasoning based on physical principles.
Researchers at Pennington Biomedical developed GVC-Calc to analyze continuous glucose monitoring data, providing a scalable and transparent approach. The platform supports batch processing, integrates individual-level data with cohort-level results, and offers consensus clinical metrics alongside exploratory measures.
Researchers developed a new analysis method, LM-QASAS, combining antibody language models with B-cell receptor repertoires to identify candidate sequences responding to an immune stimulus. The method successfully tracked the rise, peak, and decline of immune responses in new individuals, even for emerging infectious diseases.
A new AI-powered system is being developed to discover new polymeric materials, reducing waste and accelerating innovation. The system integrates multiple tools, including polymer databases, predictive models, and automated laboratories, to create a self-automated workflow that refines itself.
DigBat brings together solid-state electrolyte data, simulations, machine learning, and AI to support battery materials research, providing a clearer view of the solid-state electrolyte landscape. Researchers can compare experimental and computational data, build machine-learning models, and gain insight from the data.
The UCSF Industry Documents Library has made public nearly 700 internal documents from Fleet Farm, a Midwest retailer accused of ignoring an internal warning before selling firearms to a straw buyer. The documents, part of a lawsuit alleging negligence, provide a new resource for researchers, policymakers, and the public to understand ...
The new integrations provide enterprise AI agents direct access to live, structured research data from Dimensions' 430M+ interconnected records. This allows for AI-assisted analytics across one of the world's most comprehensive linked views of global research activity.
A team from the University of Maryland has developed an open-access database to improve analysis, visualization, experiment design, and AI-driven research in solid-state battery science. The database captures critical data points on materials, components, fabrication methods, and testing conditions.
TurboLynx, developed by POSTECH researchers, analyzes complex, interconnected data up to 184 times faster than existing systems. The engine groups similar data together and processes them collectively, reducing unnecessary memory usage and enabling efficient analytical queries.
Researchers found little consistency in prior authorization rules from Aetna, Humana, and UnitedHealthcare, highlighting a fragmented system that may contribute to administrative burden. Assembling these rules into a shared database is feasible and could improve transparency for patients and clinicians.
Researchers developed Sandook, a software-based system that tackles three major sources of performance-hampering variability simultaneously. The two-tier architecture optimizes task distribution for the overall pool while faster schedulers on each SSD react to urgent events.
Researchers at Tohoku University have developed a comprehensive digital materials ecosystem that integrates AI tools to streamline materials design, enabling faster and more accurate discovery of new materials. The ecosystem uses databases, AI, and scientific workflows to predict material properties and optimize design processes.
A new database of 3D ant models, Antscan, provides high-resolution micro-CT scans of 800 different ant species, revolutionizing the study of organismal shape and form. The database facilitates large-scale digitization of small organisms, enabling scientists to better model ant movement and study locomotion.
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.
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 ...
Scientists have developed a novel computational framework for real-time, personalized heart rate variability monitoring. The framework provides robust, adaptive alerts and improves the accuracy of HRV analysis by excluding artifact-prone periods.
Researchers at Tohoku University developed DIVE, an AI multi-agent workflow that extracts information from images to propose new materials within minutes. The system outperforms commercial models, offering 10-15% better accuracy and coverage of data extraction.
Nearly half of CDC surveillance databases have stopped updating, primarily tracking vaccination-related information and respiratory diseases. Prolonged pauses risk weakening evidence-based decision-making, and the authors recommend clear status updates, reasons for delays, and timelines for resuming data publication.
A global report highlights fragmented data systems and lack of standardization hindering botanic gardens' contribution to biodiversity conservation and scientific research. Researchers call for a unified, equitable global data system to transform how living collections manage and share information.
A new probabilistic metric has been developed to improve the assessment of user privacy in digital databases. The metric provides a more accurate measurement of protection levels by estimating the probability that one individual resembles another user based on the data set within the system.
Researchers have developed the Joint Open Genome and Omics Platform 1.0 (JoGo 1.0), which organizes human gene types into four levels based on global frequency. The database catalogs 19,194 human genes with a novel naming system, enabling secure integration of sensitive datasets and linking each gene type to public resources.
The SECURED project aims to provide a secure environment for decentralized, cooperative processing of health data and anonymisation assessment. The consortium is developing AI models to diagnose and treat patients with blood malignancies in a secure way, ensuring patient data protection and compliance with European privacy regulations.
Researchers developed an automated high-throughput system capable of generating Process-Structure-Property datasets for superalloys. The system produced a dataset containing thousands of records in just 13 days, accelerating data-driven materials design by over 200 times.
The AlphaSync database provides updated predicted protein structures on a regular basis, ensuring scientists can work with the most current information. The database contains 2.6 million predicted protein structures across hundreds of species and is updated using the latest data from UniProt.
A new white paper urges placing biodiversity at the heart of the UN Pact for the Future, highlighting its essential role in food security, public health, and climate stability. The authors propose a global alliance to integrate biodiversity conservation into the core priorities of the UN Summit of the Future.
A new nationwide database, TWIG, is helping land managers evaluate the impact of fuel treatments on wildfire risk. The open-access platform consolidates decades of data from across the US, enabling more efficient and effective strategies for applying treatments.
The Leopoldina and Max Planck Society have published a database of over 16,000 victims of coerced medical research under National Socialism, providing a platform for remembrance and research. The database connects individuals to primary and secondary sources, enabling further studies and analyses.
A large dataset on Mediterranean tree species has been compiled, revealing significant variations in endemic species across different botanical territories. The study highlights the need for stronger collaboration to support national and regional conservation policies for forest genetic resources.
A new open-access database, CampaignView, has been created to understand congressional elections. The database contains the biographies of over 5,000 major-party candidates who ran for the U.S. House of Representatives between 2018 and 2022.
LabMed Discovery magazine has been officially included in the ICI World of Journals database, a prestigious scientific journal database evaluating over 45,000 journals from 150 countries. This inclusion acknowledges LabMed Discovery's rigorous academic standards and commitment to promoting international academic exchanges.
LabMed Discovery has been included in the China Open Access Journal Database, recognizing its academic quality and publishing standards. This achievement marks an improvement in the journal's international dissemination and visibility.
A new research article analyzes 103 scientific studies on microplastics and nanoplastics from food packaging, revealing that normal use of FCAs is a source of MNPs in food. The study highlights the need for harmonized testing and reporting framework to inform policy decisions.
A hospital-based outbreak detection system has been shown to prevent infections, save lives and cut costs. The Enhanced Detection System for Healthcare-Associated Transmission (EDS-HAT) uses genomic sequencing to analyze infectious disease samples from patients, identifying near-identical strains that flag potential outbreaks.
A new study reveals the global distribution of FMFO factories, highlighting Peru's high production and potential environmental impacts. The study provides a starting point for addressing these issues through more transparent data, regulation, and sustainable practices.
Researchers created a comprehensive human T cell reference for 68 subtypes and states, alongside the STCAT tool, achieving 28% higher accuracy than existing methods. The tool allows users to browse T cell expression profiles and analyze customized scRNA-seq data.
A large-scale database of macaque behavior is driving a shift towards open science, bringing together researchers from across the globe to share data on social lives of over 3,000 individual monkeys. The platform has grown into a collaborative effort promoting culture of sharing within the research community.
ACM has joined India's ONOS initiative, providing 6,500 government-funded institutions with Premium Access to the ACM Digital Library. This enables authors to publish unlimited Open Access articles without APCs, increasing global visibility and reach of Indian research.
A groundbreaking database of over 55,000 housing measurements from around the globe supports research on correlations between housing size and inequality. The study examines patterns of inequality and their social consequences in human society.
A survey conducted among ESTS members revealed that sympathetic surgery is commonly used for hyperhidrosis and facial flushing, with a preference for nerve cutting over clipping. However, there was significant heterogeneity in practice, highlighting the need for standardization and further research.
A new medical database automatically compiles patient records of obese individuals, offering insights for health promotion and drug development. The J-ORBIT database reveals strong links between obesity and various diseases, including diabetes, hypertension, and coronary heart disease.
A new study finds that Canada is the slowest country to report genetic information about bird flu, with an average time of 618 days. However, the same researchers note that Canada was able to improve its response to COVID-19, highlighting the need for similar urgency in addressing this public health threat.
Patients with hormone receptor-positive and HER2-negative breast cancers face a higher risk of death from the cancer if they wait more than 42 days after diagnosis to have surgery. Delayed surgery increases the patient's risk exponentially, with risks of death increasing by 21%, 79%, and 183% at 60, 90, and 120 days, respectively.
Researchers at ELTE have created an online database of snoRNAs in zebrafish, revealing 67 previously unknown snoRNAs and providing a comprehensive analysis of their expression during development and in adult tissues. The findings may help create better zebrafish disease models and aid understanding of complex human diseases.
Researchers from Osaka Metropolitan University used a deep learning model to discover new bubble-like structures in the Milky Way galaxy, providing insights into star formation and galaxy evolution. The study also revealed shell-like structures formed by supernova explosions.
Recent studies have identified over 1,000 new chemicals in food contact materials, including per- and polyfluoroalkyl substances (PFAS) and phthalates. The updated FCCmigex database now includes 5,294 chemicals from 1,500 scientific studies.
Researchers created a comprehensive database of Asian body movements to analyze emotional expression. The study used motion capture technology to record performances from six professional performers, showcasing various scenarios, emotions, and personal styles.
Scientists have identified over 300 applications of PFAS and proposed 530 alternative substitutes, highlighting opportunities for industries to make safer choices. However, 83 industrial processes lack forever-chemical alternatives, presenting a gap for further research.
A U-shaped relationship between admission peripheral oxygen saturation and all-cause hospital mortality was observed in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). The lowest mortality rate occurred at an SpO2 of 89.5%, indicating that lower oxygen levels are associated with increased risk.
Groundbreaking research from the CLEAR study reveals that greater tumor shrinkage improves survival outcomes for patients with advanced renal cell carcinoma. The lenvatinib and pembrolizumab combination regimen demonstrates significant long-term benefits, including enhanced effectiveness of subsequent treatments.
Researchers found two groups of children diagnosed with autism after 6 years of age, presenting with varying symptom profiles. Early diagnosis is crucial for social communication and integration, with 75% of children diagnosed before age 6.
A new study analyzing Long COVID healthcare utilization in Colorado reveals a significant shift from acute care to outpatient services following diagnosis. After diagnosis, hospitalizations decreased by 6.1 percentage points and emergency department visits dropped by 7.7 compared to matched controls.
A study of 252 patients who underwent the Ross procedure found that survival rates were 95.8% at 5 years, 94.3% at 10 years, and 90.3% at 20 years. The procedure offers excellent long-term survival rates with low risk of re-intervention, making it an alternative to mechanical valve replacement.
Researchers have found that surgical lung volume reduction (LVRS) for advanced emphysema patients offers better outcomes than previously reported, including lower mortality rates and fewer procedure-related complications. In contrast, endobronchial valve (EBV) placement was associated with higher occurrences of complications over time.
A recent study analyzing over 100,000 patient data from the STS Adult Cardiac Surgery Database reveals that mechanical aortic valve replacements provide significant long-term survival benefits for patients under 60 compared to bioprosthetic valves. The study highlights the importance of individualized treatment plans and challenges cur...
Research presented at the 2025 STS Annual Meeting reveals that anatomic lung resections such as lobectomy and segmentectomy are associated with improved long-term survival compared to wedge resection for stage 1A NSCLC. Lobectomy offered the highest survival rates, with a 71.9% 5-year OS and 44.8% 10-year OS.
A study analyzing over a million Medicare patients found that those receiving multi-arterial grafts had improved survival compared to single-arterial graft recipients. However, when accounting for unmeasured confounding variables using surgeon preference as an instrumental variable, no difference in long-term survival was observed.
A new study from the University of Bristol reveals that child mortality in England has increased since the pandemic lifted, with a temporary decrease in deaths during lockdowns. The research found that children from non-white backgrounds faced higher rates of death compared to white children, highlighting existing healthcare inequalities.
A new study by Binghamton University researchers offers a promising solution for improving teamwork between IT and business staff. By focusing on the role of the chief information officer (CIO), boosting collaboration and understanding between IT and business teams can lead to more effective alignment of IT with overall business object...
A new study aims to address bias and discrimination in AI by leveraging sociolinguistics. By incorporating diverse dialects, registers, and periods of language into training data, researchers can improve the performance of large language models, making them more accurate and reliable. This approach also promotes ethical and socially aw...
A Cochrane review found financial incentives significantly improve smoking cessation rates for pregnant people, with a six-month success rate of 13 out of 100 who received incentives compared to six in 100 without them. The study also suggests that offering different value rewards does not impact quit rates.