Articles tagged with Medical Tests
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
A new imaging technique using ultrasound-guided diffuse optical tomography can reduce unnecessary benign breast biopsies by nearly 25%, according to a recent study. The technology uses near-infrared light to create 3D pictures of tissues, revealing functional differences between normal and cancerous tissue.
The use of next-generation sequencing in newborn screening can detect a wide range of genetic disorders, some of which are not currently testable through traditional means. This approach enables earlier disease detection and long-term health planning.
A new diagnostic platform enables rapid and accurate detection of drug-resistant C. auris pathogens using CRISPR technology, allowing for more effective treatment and prevention of hospital outbreaks. The dSHERLOCK test can detect the presence of mutations causing antimicrobial resistance in just 40 minutes.
A new rapid test for hepatitis C could identify more patients who can be cured if insurers increase reimbursement to cover the test's high cost. The test's point-of-care feature makes it ideal for early screening and treatment in clinics and emergency rooms.
A national longitudinal cohort study found consistently worse mental health outcomes among middle-aged and older adults at high risk of obstructive sleep apnea. Integrated screening and intervention strategies are needed to address this association.
Researchers found large language models susceptible to malicious input manipulation, leading to potentially hazardous health recommendations. The study highlights the need for robustness testing and regulatory oversight before clinical deployment of these AI tools.
Researchers describe first reported mpox transmission of clade Ib in a healthcare setting outside Africa, with Ireland's nosocomial outbreak linked to local cases. In the Democratic Republic of Congo, community transmission shifted from sexual to non-sexual routes, driven by factors like overcrowding and child malnutrition.
A new diagnostic method using AI and genetic information can accurately identify pneumonia in critically ill patients, distinguishing between infectious and non-infectious causes. The model has been shown to reduce inappropriate antibiotic use by over 80% and could lead to faster diagnosis and improved patient outcomes.
Researchers developed a new diagnostic chip that can detect tumor cells in blood, allowing for real-time monitoring of brain cancer treatment effectiveness. The GlioExoChip uses extracellular vesicles to assess treatment response, providing a quick and minimally invasive way to inform doctors about chemotherapy efficacy.
A novel diagnostic approach enables rapid detection of both antibiotic resistance and high virulence in Klebsiella pneumoniae, a microorganism driving the global antibiotic resistance crisis. This breakthrough could support timely, targeted therapy and strengthen infection-control strategies in healthcare settings.
A secondary analysis of the WISDOM trial found a substantial number of women with clinically actionable genetic variants, many not qualifying for current guidelines. This study supports broader access to genetic testing for personalized breast cancer risk assessment.
Scientists at Northwestern University have developed the fastest test yet for diagnosing hepatitis C virus, delivering results in just 15 minutes – up to 75% faster than current rapid tests. The highly accurate diagnostic could revolutionize HCV care by improving diagnosis and accelerating treatment uptake.
Researchers developed a novel magnetic biosensing technique using polydopamine-coated magnetoliposomes to monitor lectin-glycan binding. The technique provides insight into the dynamics of sugar-protein interactions and holds promise for medical diagnostics, glycoscience research, and drug discovery.
The UCF Health Mobile Health Clinic provides free high-quality healthcare services to underserved communities, serving as a real-world classroom for medical and nursing students. The clinic aims to reduce preventable conditions and improve long-term health through comprehensive screenings, chronic disease monitoring, and education.
A new study suggests that sweat can reveal information about a person's health, including hormone levels, medication doses, and early detection of diseases like diabetes and cancer. Wearable sensors using artificial intelligence can detect specific metabolites in sweat, providing personalized health insights.
Lung cancer screening has the potential to prevent 3 times more deaths and gain 3 times more life-years than current levels. Increasing awareness and accessibility of lung cancer screening could lead to wider adoption.
A team of scientists at the University of Tokyo has developed an automated, high-throughput system that uses machine learning to analyze droplets of biofluids for disease diagnosis. The technology relies on imaging drying processes to distinguish between normal and abnormal samples.
A study by NTU Singapore researchers found that enlarged perivascular spaces, or 'clogged drains', in the brain are a likely early-warning sign of Alzheimer's disease. The condition can be visually identified on routine MRI scans, complementing existing methods to detect Alzheimer's earlier.
Researchers developed an AI model that outperforms radiologists in detecting hidden objects on chest scans, particularly for cases of foreign body aspiration. The model achieves high precision and recall rates, helping doctors diagnose complex conditions more reliably.
A liquid biopsy test may enable early detection of various cancers, increasing stage I–III diagnoses by 10-30% and stage IV diagnoses by 45%. This could improve patient outcomes and reduce the economic impact of cancer. The study's findings suggest a game-changing approach to cancer control.
A new study published in the Chinese Neurosurgical Journal explores an AI tool that identifies medulloblastoma subgroups based on magnetic resonance imaging scans. The model achieved impressive accuracy in predicting molecular subtypes and genetic risk factors, with 91% accuracy for TP53 mutations and 87% accuracy for chromosome 11 loss.
The increasing use of unregulated psilocybin mushrooms poses a pressing need for public education, potency testing, and age-specific risk assessment. Existing clinical data are insufficient to guide harm reduction or policy, highlighting the need for real-world research on psilocybin use.
The DEFEND study aims to assess whether virtual exercise sessions can be successfully delivered to patients with cancer receiving chemotherapy. Researchers will evaluate the impact on physical function, fatigue, and disability.
Researchers have developed a blood test that detects Parkinson's disease by analyzing the activity of immune cells. The study found 22 genes whose expression was altered in patients with Parkinson's, suggesting potential diagnostic markers and insights into the disease's mechanisms.
Colorectal cancer screening modities shifted among privately insured individuals after COVID-19, with decreased colonoscopy and fecal tests, increased stool DNA tests. Differences found by sex, socioeconomic status, and metropolitan area residence.
A team of UCF researchers is creating a single low-cost test to detect multiple viruses simultaneously, which may be used in resource-limited settings. The test has the potential to save lives by providing quicker and more accessible results.
Scientists have developed a high-accuracy blood test to diagnose Chronic Fatigue Syndrome (ME/CFS), with 96% sensitivity and 98% specificity. The test uses EpiSwitch technology to identify unique DNA patterns in patients, offering new hope for diagnosis and treatment.
A new study shows that a multi-step effort to reduce unneeded pre-operative testing, using a tailored program for each hospital, can lead to significant reductions in wasteful tests. The findings have already spurred an expansion of the program to 16 more Michigan hospitals.
A recent study suggests that the rise in early-onset cancer incidence in the US population may not be as significant as initially thought. Much of the increase is attributed to increased diagnostic scrutiny and over-diagnosis, rather than a genuine rise in clinically meaningful cancer cases.
Leading researchers are advocating for increased diagnostics and treatment of Alzheimer's disease, citing significant advances in research and the availability of new medicines. The European Union has approved two medicines that slow the progression of mild dementia by removing amyloid plaques from the brain.
A study found that women receiving mental health services had faster reductions in depression over time, emphasizing the potential impact of scalable interventions during this critical period. The research underscores the importance of routine and consistent screening, monitoring, and treatment of perinatal depression and anxiety.
Researchers at Tulane University have developed an enhanced CRISPR-based tuberculosis test that works with a simple tongue swab, detecting TB in samples with very low levels of bacteria. The new test shows high sensitivity and accuracy, offering a significant step forward toward effective diagnoses via a variety of samples.
A Japanese study has identified four distinct patterns of immune response after COVID-19 vaccines, with a 'rapid-decliner' group experiencing faster decline in antibody levels. Monitoring changes in antibody levels may help identify individuals at greater risk of infection and inform more effective vaccination strategies.
A new study published in JAMA finds biparametric magnetic resonance imaging (MRI) to be more efficient than multiparametric MRI for prostate cancer diagnosis. By adopting biparametric MRI, the global healthcare system could see a substantial increase in scanner throughput and cost reduction.
Researchers developed AI models that can identify signs of heart failure in patients from Appalachia using low-tech electrocardiogram results. The models achieved high accuracy and could potentially provide clinicians with an edge in protecting patients' cardiac health.
A study suggests that children's depression may contribute to worsening maternal depression, rather than the other way around. This finding highlights the need for family-centered approaches to mental health care.
Research at DZNE suggests that immune response plays a significant role in Alzheimer's disease, causing olfactory dysfunctions by attacking neuronal fibers. This may enable the development of early diagnosis and treatment methods.
Researchers at Arizona State University have developed a rapid and accurate diagnostic test called NasRED that can detect diseases like COVID-19 with high sensitivity. The test uses tiny gold nanoparticles to identify disease-related proteins in a sample of bodily fluid, providing lab-quality accuracy without expensive equipment.
Local-stage colorectal cancer incidence among US adults ages 45-49 increased by 50% between 2021 and 2022, with a steep rise in 2019-2022. Screening rates also increased during this period, driven by recommendations to start screening at age 45.
A new study published in JAMA Health Forum suggests that Medicare could save $3.6 billion annually by eliminating or reducing low-value tests and procedures for patients who do not benefit from them. This reduction in unnecessary care could also result in $800 million less in out-of-pocket costs for older adults.
A technology expert predicts AI-based medicine will revolutionise care for Alzheimer’s and diabetes, but access must be made available to all patients. The author highlights key innovations such as diagnostic imaging and surgical robots that will aid in more accurate diagnoses and treatments.
The MISSION Act implementation led to significant decreases in travel times for eligible veterans seeking non-VA care. However, this shift was linked to a rise in major adverse cardiovascular events within 30 days of procedures like percutaneous coronary intervention and coronary artery bypass grafting.
Researchers developed a test to detect early-stage solid tumors using a blood sample, identifying patterns in amino acid concentrations that can translate into diagnostic signals. The test achieved an 87% positive rate and showed potential for precision medicine in choosing treatments.
A new blood test leverages AI to identify Lyme disease sooner and more accurately than current standard tests, with sensitivity and specificity over 90%. Additionally, an AI tool, Medicine-GPT, demonstrates promise in helping adolescents gather useful medical information, outperforming ChatGPT-4 on completeness and helpfulness.
A new silicone patch with star-shaped microneedles, called the ExoPatch, distinguishes melanoma from healthy skin in mice, capturing cancer biomarkers from exosomes. The test shows promise for early detection of the most aggressive form of skin cancer without a biopsy or blood draw.
A recent study by JAMA Network Open reveals racial differences in care quality among men with newly diagnosed prostate cancer. Black men had lower odds of overtreatment, suggesting better care, while having lower odds of confirmatory testing on active surveillance, indicating worse care.
A study found that many UK high street health tests are unfit-for-purpose due to a lack of information on test accuracy, suitability, and follow-up actions. Experts argue that the current market fails to support informed use and calls for coherent guidance and improved regulation to protect patients and healthcare systems.
Researchers developed an AI-based screening tool using pangrams to detect Parkinson’s disease with nearly 86 percent accuracy. The web-based test analyzes voice recordings for subtle patterns linked to the neurodegenerative disease, identifying potential warning signs.
ADLM 2025 will tackle urgent topics like clinical AI integration and fake medical news, as well as leveraging genomics for personalized healthcare. The meeting also explores the health threat of plastics and microbiome medicine to combat diseases.
Researchers developed a lyophilized open-source RT-LAMP assay for pathogen detection, making diagnostics more accessible and affordable globally. The assay is heat stable, requires no cold chain, and can detect various pathogens with high sensitivity.
A new breast scan system combines photoacoustic and ultrasound imaging to produce clear 3D images of common breast cancer subtypes. The system, called OneTouch-PAT, takes less than a minute to complete and excels at detecting suspicious lesions in women with dense breast tissue.
A new study found that a nontargeted screening approach can identify more patients with hepatitis C virus infections than traditional targeted screening methods. The results highlight the need for improved treatment models, as patients who went from diagnosis to sustained virologic response increased significantly.
A Nagoya University group created a sandwich ELISA technique to accurately measure polysialic acid levels in the blood of patients with psychiatric disorders. The technique uses antibodies that minimize non-specific binding, resulting in increased accuracy.
A cross-sectional study revealed racial disparities in COVID-19 treatment, with targeted interventions like expanding rapid test access and virtual care potentially improving equity. The findings suggest that encounter-level factors, such as differences in diagnostic test type and site of care, contribute to these inequities.
A new diagnostic tool uses AI to analyze handwriting signals, detecting subtle motor symptoms associated with Parkinson's disease. The device has shown an average accuracy of 96.22% in distinguishing patients from healthy individuals.
A national survey reveals nearly one-third of US adults would not or might not test for suspected COVID-19 due to lack of perceived value. This test hesitancy can delay oral antiviral initiation and potentially lead to missed opportunities to limit transmission.
Research highlights the significant consequences of diagnostic delays for lupus patients, who often experience multiple misdiagnoses before receiving an accurate diagnosis. The study found that 'diagnostic overshadowing' is a major cause of these delays, leading to irreparable organ damage and poor quality of life.
A team of scientists from Colorado State University and the University of São Paulo have developed a seismological solution to improve the resolution of ultrasound images for lung monitoring. This breakthrough could lead to improved critical care for patients, including continuous lung monitoring at the bedside. The technique uses seis...
Researchers have developed a model that uses terahertz scattering to identify structural tissue changes in diseases like cancer and burn injuries. The approach shows promise for early detection and characterization of disease-related tissue features.
A novel screening approach called VEST uses virtual echocardiography to identify patients at high risk of pulmonary arterial hypertension, a life-threatening form of heart failure. The tool has been shown to generate accurate PAH risk scores without manual calculations and can guide timely referrals for expert care.