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 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 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.
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.
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.
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.
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.
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 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.
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.
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.
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 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.
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 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 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.
A study analyzing 5 million nights of sleep data identifies five main sleep types, with frequent changes between these types offering insights into chronic health conditions like diabetes and sleep apnea. Long-term tracking of sleep patterns may unlock new public health insights.
Researchers developed a new approach to understanding health by leveraging social media data, creating the largest cohort study in medical history. The study found that 27% of participants made an attempt to quit vaping during the study period, with a success rate of 26%, and identified key factors influencing cessation journeys.
Researchers are developing advanced electronic bandages to improve chronic wound monitoring and healing. These 'smart' dressings can sense and respond to changing conditions, providing continuous data on healing and potential complications.
Researchers at MIT develop a glassy, amber-like polymer that can store DNA at room temperature while protecting the molecules from damage caused by heat or water. The T-REX method allows easy removal of DNA without damaging it, making it a promising technology for storing digital information on DNA.
The Kids First DRC has introduced an upgraded data portal to streamline big data search and analysis, improving collaborative pediatric research outcomes. The new portal integrates diverse datasets, including genomic information from the Children's Brain Tumor Network, to foster cross-disciplinary research.
A study found that responses with both visual and tactile feedback were most effective in conveying emotions on social media. Participants experienced greater feelings of support and approval when receiving tactile emoticons compared to visual-only feedback alone.
Researchers have developed a study using smartwatches to monitor Parkinson's symptoms over time in early-stage patients. The study found significant declines in gait and tremor, as well as changes in speech, with the smartwatch detecting these changes more effectively than traditional tools.
Researchers found that advertising on misinformation websites is pervasive among companies across several industries and amplifies the financing of misinformation. Consumers also face substantial backlash when ads appear on such websites, switching away from companies whose products are advertised on misinformation outlets.
Generative AI has both positive and negative effects on social equality, impacting work, education, healthcare, information, and misinformation. Policymakers are urged to implement policies such as tax code changes, data unions, and anti-misinformation campaigns to ensure the technology is used to increase equality
Researchers have developed a groundbreaking solution to overcome DAC challenges, achieving record-breaking data transmission performance. The innovative approach enables the transmission of signals at rates exceeding 124 GBd PAM-4/6 and 112 GBd PAM-8 over long distances using low-cost digital-to-analog converters.
A new study found that combining histone deacetylase inhibitors, poly (ADP ribose) polymerase inhibitors, and decitabine resulted in synergistic cytotoxicity in all cell lines tested. This combination impaired DNA repair pathways and altered epigenetic regulation of gene expression.
The new certification aims to standardize training and increase skills in telehealth stroke care delivery, ultimately improving stroke outcomes. Telehealth stroke care can expand access to rural areas and communities facing barriers to stroke care.
Researchers found that Werner syndrome mice experience age-dependent and sex-specific changes in their livers and immune systems, including fatty liver accumulation and altered lipid metabolism. These findings suggest a potential link between immunoglobulin variants and fatty liver progression in the disorder.
The Luxembourg Institute of Science and Technology is developing affordable gas sensors for environmental monitoring and occupational safety. The €8 million AMUSENS project aims to create portable, cost-effective sensors using nanotechnology and artificial intelligence.
A mobile app survey during the first trimester predicted future depression with a high level of accuracy, identifying modifiable risk factors such as sleep quality and access to food. The study's findings offer a new approach to predicting perinatal depression and tailoring preventive care for pregnant individuals.
A new study shows that a fully digital, AI-based lifestyle coaching program can effectively reduce blood pressure in adults with hypertension. The program, which leverages data from wearable activity trackers and BP monitors, also increases participant engagement and reduces the need for manual clinician outreach.
Researchers review Silibinin's efficacy in managing inflammation, a key factor in tumour development and aging. The molecule may reduce drug-related toxicity and increase therapeutic potential in integrated cancer therapies.
Researchers from the University of Bath have created a deformable screen called DeformIO, which can be deformed through finger pressure. The surface becomes softer or stiffer in direct response to force applied, allowing users to interact with digital objects in a more tactile way.
Researchers developed a predictive model using Danish health data to quantify individual cancer risks for 20 types of cancer, achieving an accuracy of 81% over a lifetime. The model enables risk stratification and can inform targeted early detection tests, potentially reducing unnecessary procedures and false positives.
Researchers from Ohio State University propose the integration of AI technology in customer service to enhance operational efficiency and customer satisfaction. The benefits include increased accessibility, consistency, and personalized experiences, while addressing evolving hospitality trends.
Researchers found that GZ17-6.02 killed uveal melanoma cells by enhancing autophagy, inactivating key proteins, and reducing growth factors. The compound also interacted with doxorubicin and ERBB inhibitors to enhance tumor cell killing, suggesting potential as a single agent or combination therapy.
A study of nearly 5,000 mammograms found that AI algorithms produced false positive results more frequently in Black and older patients, while Asian patients and younger patients were less likely to be flagged as suspicious. Healthcare institutions should consider the patient population they serve before purchasing an AI algorithm.
A breakthrough innovation introduces a multifunctional three-terminal diode, revolutionizing optoelectronic integrated chip technology. The integration of traditional photodiodes with a metal-oxide-semiconductor structure enables effective control over carrier transport during light emission or detection processes.
A validation study on the WHO app using AI to detect skin diseases showed good reception amongst professionals in Ghana and Kenya. The app aims to improve diagnosis and treatment of neglected tropical diseases and common skin diseases.
A new study using wearable Bluetooth devices found that staff members dominated social interactions in four UK care homes, with residents having limited social contact. The findings suggest that wearable technology can be used to improve quality of care by reducing isolation and increasing interaction between staff and residents.
Researchers found cyclin D1 expression in patients with penile cancer (PC) is associated with clinical and histopathological features. Patients with cyclin D1 expression had lower disease-free survival compared to the cyclin D1-negative group.
Researchers have found that phytoplankton biomass in Narragansett Bay declined by 49% from 1968 to 2019, with the winter-spring bloom occurring earlier each year. The decrease in phytoplankton levels may indicate resilience in the face of climate change.
The BiCIKL project has shared lessons learned on improving data findability, accessibility, interoperability, and reusability (FAIR-ness) of various biodiversity data types. The project's policy briefs provide recommendations for policymakers and research funders to adopt best practices and guidelines.
A new study found that transgender preteens reported 13 hours of daily recreational screen time, which was 4.5 hours more than their cisgender peers. The researchers highlight the importance of managing the risks associated with excessive screen use for this vulnerable population.
A new Bayesian inference framework reduces data size by over 80% while achieving accurate modeling and control of optical power evolution. The approach enables simultaneous exploitation and exploration of a data space to identify suitable candidates for autonomous driving optical networks.
A new approach uses neural networks to automatically determine polynomial coefficients for digital pre-distortion (DPD) in RF-PAs, reducing hardware complexity and power efficiency. This method can correct non-linearities and support emerging standards without extensive real-time processing.
A study by Brigham and Women's Hospital found that patients with limited English proficiency are more likely to rate video health care visits as worse than in-person appointments, despite having access to telehealth services. The study highlights the need for designing telehealth platforms that better serve marginalized populations.
AI chatbots, known as 'deadbots,' simulate deceased loved ones' language patterns and personality traits, risking psychological harm and digital 'hauntings.' Researchers outline three design scenarios highlighting the need for safeguards to prevent misuse.
Researchers found associations between inflammatory and metabolic biomarkers and accelerated aging, with GlycA and GrimAge showing robust correlations. The study provides insight into the relationship between aging and cardiometabolic health, potentially informing vulnerable populations.
The intersection of digitalization, biotechnology, neurotechnology, and nanotechnology raises concerns about the blurring of boundaries between physical, biological, and digital worlds. Researchers warn that converging technologies can be used to manipulate people's thoughts, feelings, and decisions without their knowledge or consent.
462 medieval manuscripts from Speyer, Worms, and Mainz to be digitized for public access, providing new insights into cultural heritage of seven centuries. High-quality digital reproductions will facilitate exploration of historical textual traditions.
Research suggests that four proposed AI search engines for automating search and retrieval of digital histopathology slides have inadequate performance for routine clinical care. The algorithms showed less than 50% accuracy in some cases, highlighting the need for rigorous external validations and standardization before clinical adoption.
Researchers have developed a proposed system to control specific devices on a network, allowing for more efficient and secure control. The system uses a broadcast authentication method, which enables remote control of arbitrary target devices simultaneously.
Researchers argue that mobility data can help understand human-wildlife interactions and inform policy decisions on sustainability-related issues. They propose aggregating datasets without personal identifiers to make them accessible to researchers, benefiting both conservation and private companies.