Articles tagged with Digital Data
A 10-year study found that digital breast tomosynthesis increases cancer detection rates and reduces advanced cancers compared to conventional 2D digital mammography. DBT detected more aggressive cancers at an earlier stage than digital mammography, leading to improved cancer detection and lower recall rates.
A systematic review of pharmacogenomics clinical decision support systems found that e-health tools can help integrate personalized medicine into everyday clinical practice. However, current implementation is limited, particularly in non-US healthcare systems.
Rice University researchers developed ElasticDiffusion, a method that separates local and global signals to create non-square aspect ratio images without visual imperfections. The new approach can improve consistency and realism in AI-generated images, but still requires significant computational power.
Hassan's research focuses on creating advanced techniques for collecting and integrating data provenance to enhance threat detection. The project also includes educational initiatives to prepare the next generation of cybersecurity professionals.
The new Corporate Lab aims to advance collaboration between industry and public sector researchers to address real-world challenges in sustainable living and digital technologies. It will develop and trial novel digital technologies prioritizing sustainable ecosystems and lifestyles, including energy-efficient AI algorithms, green clou...
A new smartphone-based digital holographic microscope enables precise 3D measurements and has potential applications in medical diagnostics, education, and resource-limited settings. The portable device uses a simple optical system created with a 3D printer and calculates reconstructions based on a smartphone.
A novel deep learning model, DS-ViT-ESA, was developed to predict lithium battery lifespan with high accuracy using only a small amount of charging cycle data. The model achieved low prediction errors even when tested on unseen charging strategies, demonstrating its zero-shot generalization capability.
Underwater noise pollution from human activities significantly impacts the ability of orcas to hunt successfully in the Salish Sea. The study found that increased ambient noise levels, particularly around vessel propellers, interfere with echolocation behavior and hunting efforts. This hindrance affects females more than males, potenti...
Researchers at Thomas Jefferson University have developed a novel screening tool to measure digital health readiness, addressing barriers to telehealth adoption. The tool assesses technical readiness and quality of care concerns, with promising results in improving equity.
Researchers at Klick Labs developed an AI technique using vocal biomarkers to predict chronic high blood pressure with up to 84% accuracy. The study used machine learning to analyze hundreds of indiscernible vocal biomarkers, including pitch variability and speech energy distribution patterns.
Generative AI is revolutionizing oncological imaging by expanding datasets and improving image quality. This technology enables predictive oncology and personalized cancer screening, offering new hope in the fight against cancer.
Researchers at Tel Aviv University used modern technologies to challenge the long-held myth that the Roman siege of Masada lasted three years. The study found that the siege actually lasted no more than a few weeks, using precise measurements and 3D digital modeling to calculate the time it took to build the siege system.
A team at NUS Yong Loo Lin School of Medicine leveraged an artificial intelligence-derived platform, CURATE.AI, to guide treatment for a patient with Waldenström macroglobulinemia, a rare blood disorder. The trial demonstrated substantial improvement in red blood cell levels and minimised side effects.
Researchers analyzed 650 million tweets to identify new words and tracked their adoption. Words used by central users persisted longer, while those with less central positions had a rapid rise and decline. The study reveals the predictive power of social network position in shaping language.
Researchers found that digital consultations significantly improved medication adherence among heart failure patients, with 28% receiving optimal medication combinations after 12 weeks. The study also showed no negative impact on patient satisfaction or quality of life.
A new editorial in Oncoscience explores the application of functional information to adapt radiation therapy to individual patients. This approach aims to reduce uncertainty and improve outcomes in cancer treatment by analyzing signal data uncertainty.
Researchers explore emerging role of Graph Filtration Learning (GFL) in revolutionizing HCC imaging analysis. GFL captures complex topological features inaccessible to traditional pixel-based methods.
A new course launched with funding from the UK Space Agency to address the growing skills gap in software, data, and AI for the UK space sector. The Securing the future of space: Space Software and Data/AI CPD programme will equip mid-career professionals with expertise in AI and data-science.
A new study by Binghamton University researchers found that virtual team members who receive inspiring responses from others are more likely to be viewed as emergent leaders. To become an effective leader in a virtual setting, it's essential to pay attention to how the audience responds to your message and support others' ideas.
A new AI-based digital platform has been developed to analyze tissue sections from lung cancer patients, making diagnosis faster and more accurate. The platform uses algorithms that enable fully automated analysis of digitized tissue samples, allowing for personalized therapy based on molecularly specific genetic changes.
A study of 1,300 emerging adolescents found that higher parental technoference levels were associated with increased anxiety symptoms, inattention, and hyperactivity. The findings highlight the need for parents and emerging adolescents to discuss digital technology use and mental health as part of routine care.
Researchers found that 49% of respondents experienced a moderate to extreme impact on their mental or emotional wellbeing after encountering negative experiences in virtual environments. The study highlights the need for metaverse companies to instill clear regulatory frameworks for safe virtual spaces.
Researchers at UMass Amherst discovered a vulnerability in digital wallet security that can be exploited by malicious actors even if the rightful cardholder doesn't use a digital wallet. The study found that banks prioritize convenience over security, leaving users' credit cards susceptible to unauthorized transactions.
A new study found that digital health tools can improve health and wellbeing by keeping people active, boosting steps, and improving diet and sleep. The research synthesised data from 206,873 people across 47 studies, indicating that electronic and mobile health interventions can help people achieve positive outcomes.
Researchers have developed a chip-based quantum system that can detect unauthorized access in quantum communication, using entangled four-photon states. This technology has the potential to strengthen data security and protect sensitive information from cyber threats.
EPFL researchers have created an energy-efficient method for nonlinear computations using scattered light from low-power lasers. The new approach is scalable and up to 1,000 times more power-efficient than state-of-the-art digital networks, making it suitable for realizing optical neural networks.
A new study by Lancaster University highlights that women are more likely than men to experience 'digital overload' and burnout due to their greater use of digital technologies in both work and family lives. The research emphasizes the need for gender-egalitarian work-from-home arrangements and policies to address this issue.
Researchers developed a machine learning-based system to analyze satellite data and provide farmers with information on pasture productivity and quality. The approach uses remote sensing and AI-driven processing to gather data on large areas, providing a scale-neutral solution for small- and large-scale farms.
Researchers from Stellenbosch University discovered that using work-related content during golf sessions reduces performance, whereas personal activities have little to no effect. The study suggests a clear distinction between leisure and professional use of smartphones in recreational settings.
A new study found that meeting partners online is positively linked to relationship success among those who have social media presence on their relationships. However, the link was absent among individuals without this social media presence, particularly in marital relationships.
Researchers at TUM have mapped the interactions of 144 active substances with around 8,000 proteins using a new method called decryptE. This study could help identify previously unknown potential benefits of existing drugs and improve treatment outcomes for patients.
Researchers at Pohang University of Science & Technology have developed a novel analog hardware using ECRAM devices that maximizes AI computational performance. Their technique, which uses a three-terminal structure with separate paths for reading and writing data, demonstrates excellent electrical and switching characteristics.
Researchers found correlations between MIF and DDT levels with patient survival outcomes in melanoma patients. Higher CD74:MIF and CD74:DDT levels were associated with improved survival and enrichment of inflammatory markers.
A new study published in PLOS Digital Health found that machine learning models can reliably predict the disability progression of multiple sclerosis. The models were trained on data from 15,240 adults with at least three years of MS history and had an average accuracy of 0.71 ± 0.01.
A new study published in Nature Medicine found that people rate medical advice as less reliable and empathetic when an AI is believed to be involved. Despite this, respondents were still less willing to follow AI-supported recommendations compared to advice from human doctors.
Researchers found a significant association between the KIT M541L variant and mastocytosis diagnosis in patients with systemic and cutaneous mastocytosis. The variant was identified in 19 individuals, mostly diagnosed with systemic mastocytosis, but without significant differences in symptomatology.
A new method called D-REC uses a digital twin to predict which data users will need, improving edge caching decisions. The digital twin takes real-time data from the wireless network and conducts simulations to make accurate predictions.
A new study published in Aging explores the potential of three large DNA methylation datasets to identify biological age signals in dogs. The researchers found that biological age methylation clocks are affected by population stratification and require heavy parameterization to achieve effective predictions.
The study compares simpler-to-implement nonlinear encoding strategies with the performance of data repetition-based methods, revealing that data repetition enhances inference accuracy but compromises universal linear transformation capability. Phase encoding without data repetition offers a simpler alternative with comparable inference...
A USF study reveals that digital food ordering platforms significantly influence consumer behavior, often leading to more indulgent food choices and increased spending. The study found that 61% of digital orders were unhealthy, and consumers who are more proficient with technology may be less susceptible to the Google Effect.
A study found that large language models, despite accuracy in medical exams, fail to consistently request necessary examinations and often deviate from treatment guidelines. In comparison to human doctors, AI diagnoses achieved lower accuracy rates, highlighting concerns about their suitability for everyday clinical practice.
A new study published in JAMA Network Open found that mental health apps can significantly reduce symptoms of depression, anxiety, and suicidality in individuals waiting for their initial psychiatric appointment. The study, which involved over 2,000 patients, showed improvement in all groups, regardless of the app used.
A new study reveals significant discrepancies in the effectiveness of political ads on Facebook and Instagram, favoring more extremist groups. Over 70% of parties used user profiling in their ads, and the far-right AfD proved to be the most effective, with ads almost six times more efficient than competitors.
Research by University of East Anglia and University of Texas found that stricter data privacy laws significantly reduced breaches, but negatively affected firms' market value. Companies compliant with GDPR invested more in data protection and were less likely to experience data breaches.
Researchers from Radboud University Medical Center discuss the potential of using early on-treatment circulating tumor DNA measurements as a response assessment for metastatic castration-resistant prostate cancer. The detection of ctDNA at baseline and 4-weeks after treatment initiation can predict response durability to first-line ARPIs.
Researchers at Weill Cornell Medicine used machine learning to define three subtypes of Parkinson’s disease, each with distinct driver genes and molecular mechanisms. These subtypes may suggest customized treatment strategies for patients, potentially targeting specific drugs such as metformin to slow down progression.
Researchers have created a detailed 3D atlas of the African clawed frog's development, revealing key changes during metamorphosis. The atlas uses X-ray microtomography to show the transformation from tadpole to mature adult frog.
The ELTE Eötvös Loránd University has digitised over 431 animal skulls, including those of 152 dog breeds and 12 wild relatives. This unique collection is now available online, enabling researchers to conduct comparative anatomical and evolutionary studies.
The Program for Research in Mathematics at Texas A&M University has been awarded a Dolciani Mathematics Enrichment Grant to support its efforts to promote math enrichment for high school students. With the grant, the program will expand access to digital resources and provide more comprehensive training materials.
Researchers developed a new method to study rock engravings, integrating technological and visual analysis to uncover the cultural significance of engravings in Timna Park. The approach provides comprehensive insights into the production processes and cultural context of ancient engraving practices.
Scientists developed customized AI tools, including ChatGPT, to provide accurate responses on digital pathology. The tools help pathologists without extensive coding experience analyze tissue samples, bridging the gap between pathology and digital pathology skills.
A new study introduces a novel hypothesis that digital technologies affect human sociality and mental health, particularly among youth. The Disembodied Disconnect Hypothesis suggests cultivating rich personal relationships in face-to-face communities to counterbalance disembodied digital interactions.
The study found that the percentage of hospitals offering at least one form of telemedicine service increased from 46% in 2017 to 72% in 2021. Despite rapid growth, persistent disparities in implementation across different hospital types and challenges in health information exchange remain.
A new three-year study found that patients with ADHD are 60-90% more likely to miss appointments than the general population. The study, which analyzed data from 136 GP practices in Scotland, showed that 21% of children and adolescents with recorded ADHD missed at least one face-to-face appointment annually.
Researchers will combine patients' self-reports with mobile app, wearable device, genetic sample, and clinical record data to predict which approaches will work best for an individual. The goal is to improve the success of first-time mental health treatment.
A team of researchers developed EMOKINE software to measure the objective kinematic features of movements that express emotions. The software provides movement parameters from data sets at the touch of a button, allowing scientists to analyze emotional expression and intentions.
A study of 2,001 American adults found that cryptocurrency ownership is associated with belief in conspiracy theories, support for political extremism, and the 'Dark Tetrad' of personality traits. Fringe social media sources are also a key predictor of crypto ownership.
The e-COL+ project aims to capture and reconstruct France's natural history collections in 3D, covering nearly 6% of the world's total natural specimens. The project will provide modern equipment, create a comprehensive dataset of 3D models, and build AI tools to improve model reconstruction.
A new North Carolina State University study found a dearth of useful depictions of farmworkers in commercial stock photo libraries, highlighting the need for more relevant educational materials. The research suggests that these images can impact farmworker engagement with safety behaviors.
Researchers from Florida Atlantic University developed a novel approach using wearable sensors and machine learning to assess balance. The method achieved high accuracy and strong correlation with ground truth balance scores, suggesting it is effective and reliable in estimating balance.