Articles tagged with Informatics
A new tool, metapipeline-DNA, automates and standardizes genome sequencing analysis, reducing the complexity of large and complicated data. The open-access resource, developed by Sanford Burnham Prebys and the University of California Los Angeles, aims to improve collaboration and reproducibility across research labs.
A study at George Mason University found that nursing students in an AI-enhanced health informatics course showed statistically significant learning gains compared to traditional students. The course used AI-generated videos and clinically contextualized assignments to improve student engagement and outcomes.
Dr. Dennis Lal has been appointed as the new executive director of the Center for Innovation in Health Informatics at UT Arlington, succeeding Marion Ball. He will lead initiatives on precision health, clinical AI, and health care-scale informatics.
A University of Houston professor has found that tree-like thin films release heat at least three times better than traditional methods, enabling more efficient cooling in AI data centers. The discovery demonstrates the power of physics-aware AI design for validating high-impact cooling solutions.
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.
The Mount Sinai Health System has received a Level 9 designation from CHIME Digital Health Most Wired survey, recognizing its commitment to excellence in digital health. The organization is leveraging AI and digital tools to improve patient care and streamline operational processes.
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.
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 analyzed AI methods for detecting pulse rates from facial video recordings and found significant errors at elevated heart rates. The study highlights weaknesses in remote photoplethysmography (rPPG) technique under challenging conditions.
A team of researchers from Binghamton University has created the first-ever high-resolution 3D model of Rano Raraku quarry, revealing over 1,000 moai statues. The model allows users to zoom in and pan across various features, providing a detailed look at the island's quarries and challenging previous theories about its history.
Researchers investigate how people with disabilities feel when their avatars depict them the way they see themselves. Most participants reported positive feedback when their avatar reflected their disability, and many felt comfortable expressing their identity in virtual reality.
A USC study mapped tiny structural differences in white matter among children and young adults with autism, pinpointing patterns that earlier methods would have missed. The findings highlight the importance of developing new methods to better understand brain differences in autism.
Researchers found that tropical forests may be less sensitive to climate change than thought. They discovered that dead leaves cool nearby leaves by reflecting more sun energy, reducing heat buildup.
Researchers at Penn State developed four AI-powered GIS agents to demonstrate autonomous data retrieval, spatial analysis, map generation, and cartographic tasks. The agents showed promise in reducing manual grunt work and expanding geospatial solutions to pressing challenges.
Paul Boutros, a pioneer in using AI and machine learning to analyze cancer data, is appointed as the new director of the National Cancer Institute-designated cancer center at Sanford Burnham Prebys. The cancer center will leverage computational tools to personalize therapies for cancer patients.
The University of Texas at Arlington is hosting its fifth annual Texas Health Informatics Alliance Conference, which will delve into the ethical and effective applications of artificial intelligence in healthcare. Keynote speakers and panel discussions will explore topics such as AI security, cybersecurity, and legislative outcomes.
Researchers have created a statistical model using 20 years' worth of sentinel chicken data to predict elevated West Nile virus activity up to six months in advance. This breakthrough could lead to proactive preventative measures and improve disease outbreak response.
Gene coexpression analysis reveals optimal markers of cell types and states, providing opportunities for developing novel biomarkers and targeted treatment strategies for glioma patients. Dr. Oldham's work tackles the reproducibility crisis in science, emphasizing data metadata standardization.
Researchers at TU Graz developed methods to run AI models locally on small devices with limited memory, enabling efficient positioning error correction and industrial applications. The E-MINDS project introduced a modular system using division, orchestration, subspace configurable networks, quantisation, and pruning techniques.
The journal JMIR Human Factors is inviting submissions for a new theme issue focusing on human factors in health care education, management, and knowledge translation. The issue aims to explore current and emergent educational and training aspects of human factors, including digital competencies for healthcare professionals.
A new machine learning algorithm, SAVANA, has been developed to accurately detect structural variations in cancer genomes using long-read sequencing data. The algorithm was tested on 99 human tumour samples and showed high consistency with current clinical standards.
The new Data Science Institute will support researchers in harnessing vast amounts of data to advance scientific discovery and patient care. With seed funding, the institute aims to foster interdisciplinary collaborations and provide cutting-edge tools and academic knowledge to extract valuable insights from massive datasets.
A new review advocates for building confidence in AI applications by implementing robust data governance frameworks, enhancing transparency, and involving stakeholders. The authors emphasize the importance of addressing ethical implications and ensuring equitable access to AI-driven innovations in clinical oncology.
A new study from the University of Missouri highlights how 'smoothed' graphs can help doctors better manage patients with hypertension. The findings suggest that these graphs can reduce errors in assessing blood pressure control, potentially alleviating pressure on the healthcare system.
A new clinical artificial intelligence tool, SCAI, developed by University at Buffalo researchers has demonstrated remarkable accuracy on all three parts of the USMLE exams. Achieving higher scores than most physicians and all other AI tools, SCAI has the potential to become a critical partner for physicians.
Researchers at UT Arlington's CIHI are developing innovative solutions to address complex health needs in children with disabilities, behavioral health issues, and medical conditions. The projects aim to improve healthcare services, enhance quality of life, and promote healthier aging through cutting-edge research and model organisms.
Researchers at Saarland University are developing leaner, customized AI models and techniques like knowledge distillation to reduce energy consumption. These smaller models enable small and medium-sized businesses to access powerful AI technology without a large technical infrastructure.
Researchers applied machine learning methods to analyze large datasets of individual cells, achieving better results than classical learning methods. Self-supervised learning improved performance, especially in applications with large single-cell data sets.
A new software package called TraitTrainR offers a framework for replicating the evolutionary process many times over. It can perform flexible evolutionary experiments through probabilistic simulations on a computer, allowing researchers to generate thousands-to-millions of evolutionary replicates.
Kevin Bauer's new professorship at Goethe University Frankfurt aims to understand human-machine interaction and promote responsible AI research. His research focuses on the psychological and organizational factors determining the efficiency and quality of collaboration between humans and machines.
A new method has improved AI translation of sign language by adding data on hand and facial expressions, as well as skeletal information. This has led to a significant increase in accuracy, making it easier for people with hearing impairments to communicate.
The Korea University College of Medicine and Yale University hosted a joint forum to discuss the latest advancements in medical AI, clinical informatics, and natural language processing. The event highlighted the impact of AI-driven technologies on healthcare systems and patient care.
A study by UCSF researchers found that language, education, and age affect someone's ability to engage with digital health tools. Young English speakers are most comfortable using digital health tools, but others face barriers due to limited education or language proficiency.
Experts from UTHealth Houston and Baylor College of Medicine developed a pragmatic approach to monitor and manage AI systems in healthcare organizations. The guidance emphasizes the need for robust governance systems, testing processes, and transparency with patients to ensure safe AI adoption.
Researchers developed a new image-processing method to visually clarify the internal network structure of rubber at the nanoscale. The method, which integrates knowledge of rubber material with advanced mathematical techniques, enables automatic analysis of multiple samples and confirms its reliability.
Researchers found a strong link between depression and menstrual pain in a new study published in Briefings in Bioinformatics. Depression may be a cause of dysmenorrhea, rather than a consequence, according to the findings.
The joint Center for Health AI will focus on making care more personalized and effective while being more efficient and manageable for physicians. AI will be used to streamline workflows and administrative tasks, reducing burnout among healthcare workers and improving patient experience.
Using Clinical Design Support Systems (CDSS) can help make maternity services safer for pregnant women, with a meta-analysis of 35 studies showing a 1.69 times higher odds of improved outcomes. The findings support the use of AI and related software tools to improve pregnancy care.
Dr. Jill Inderstrodt leads a multidisciplinary team to integrate clinical, administrative, and public health data to track individuals with congenital heart defects and improve their long-term outcomes. The grant aims to enhance the care and support of those living with CHD throughout their lives.
A research team developed a computational workflow for analyzing large data sets in metabolomics, speeding up the process to capture chemical profiles of coastal environments. The tool, accessible to researchers worldwide, highlights potential sources of pollution and enables statistical insights within minutes.
The NEXUS exposomics coordinating center aims to deepen understanding of how environmental and social determinants impact health. Led by USC's Rima Habre, the center brings together diverse scientists to study place-based exposures using geospatial methods.
Researchers developed an EHR-based screening for IPV, which prioritized confidentiality and was 10 times more effective than traditional oral screening. This approach helped normalize IPV screening and improved patient comfort in reporting their experiences.
A new AI tool called CAR-E is being developed to provide personalized coaching conversations for medical students and residents, encouraging reflective practice and enhancing their skills. The web-based tool will use a coaching approach to prompt students to think back on their clinical encounters and knowledge gaps.
Researchers found that iBuyers paid Black homeowners $4,376 on average, while paying white homeowners $27,239 less. The companies also favored institutions over individual buyers, with a greater increase in institutional ownership for white-owned homes.
Researchers at Kyoto University have discovered a mathematical expression for the blockchain trilemma, revealing ways to improve scalability without compromising security and decentralization. The formula offers new perspectives on solving the long-standing problem of balancing these competing values.
A study by LMU researchers reveals systematic bias in how political ads are delivered on Facebook and Instagram. The platforms' targeting systems favor campaign ads promoting incendiary issues, leading to unequal reach for different parties.
The Indiana Sickle Cell Dashboard presents interactive visualizations of the disease's prevalence and burden across an entire state, offering a comprehensive picture of those living with sickle cell. The dashboard provides rates per 100,000 population, allowing for comparisons between states or areas around the world.
A comprehensive, user-friendly repository has been created to help study Alzheimer's disease. The ssREAD database encompasses 277 integrated datasets from 67 scRNA-seq & snRNA-seq studies, totaling 7,332,202 cells, and includes interactive visualizations for comprehensive analysis interpretations.
Researchers at George Mason University used artificial intelligence to analyze data from over 3.6 million patients and create personalized antidepressant recommendations. The free website MeAgainMeds.com provides evidence-based guidance for clinicians and patients, enabling faster symptom relief and reduced medication trial time.
Researchers have developed a system combining bio-inspired cameras with AI to quickly detect obstacles around cars, using less computational power. The hybrid system detects objects up to one hundred times faster than current systems while reducing data transmission and processing needs.
Researchers found that large language model-based chatbots fail to recognize users' motivational states when they are hesitant about making healthy behavior changes. However, the chatbots can provide relevant information and support users who have established goals and a commitment to take action. The study highlights the limitations o...
A research team at Kyoto University found that interactive AI programs can reduce prejudice and anxiety among historically divided ethnic groups in Afghanistan during online interactions. Participants in the AI intervention group showed more engagement and significantly less prejudice and anxiety compared to the control group.
A recent study found that nearly one-in-five chlamydia patients and one-in-four gonorrhea patients did not receive CDC-recommended treatment. Treatment rates were higher for individuals seen in public health clinics, particularly males, younger patients, and those identifying as Black or multiracial.
Researchers have created a method to control pneumatic artificial muscles with embedded bifurcation structures, which can generate diverse dynamics and patterns. This breakthrough enables robots to exhibit more adaptable and flexible movements, streamlining hardware and software development.
Researchers at Nagoya University discovered that writing down one's reaction to a negative incident on paper and then disposing of it significantly reduces feelings of anger. The study found that participants who threw away the paper experienced a significant decrease in anger levels, while those who kept it saw only a small reduction.
Researchers developed Smart-CKD, a computer-aided diagnostic tool integrating ultrasound data and selected clinical variables to assess renal fibrosis progression in CKD patients. The tool has excellent predictive accuracy and high clinical application value, providing a cost-effective solution for guiding patient management.
A competition among researchers predicted B. pertussis vaccine responses based on a simple correlation between calendar age and antibody responses. The result highlights the need for further research to understand variability in vaccination outcomes.
A recent study found that the latest COVID-19 booster shot significantly reduces adults' risk of moderate or severe disease. The study analyzed data from September 2023 to January 2024 and showed that the updated vaccine provided protection against emergency department visits and hospitalizations, with a reduction of over half.
A study by researchers from LMU and the University of Bath analyzed changes in Ukrainian language use on social media before and during the Russian war. The results show a long-term shift from Russian to Ukrainian, accelerated by the war, primarily due to users' political reactions.
A new study investigates how people perceive and claim authorship of artificially generated texts, revealing that perceived ownership does not always align with declared authorship. Researchers found that participants who wrote the text themselves felt a stronger sense of ownership, while those who relied on AI ghostwriters did not.