Articles tagged with Medical Diagnosis
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.
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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 groundbreaking article proposes a transdiagnostic framework that views neurodivergent conditions as points on a spectrum rather than distinct categories. This approach acknowledges the shared characteristics and complex interplay between these conditions and recognizes their frequent overlap with mental health challenges.
The COVID-19 pandemic has led to a decrease in cancer diagnosis rates in the US, according to a new study. Despite improved trends in 2021, the rates remain lower than expected, exacerbating the existing deficit of diagnosed cases from 2020.
A novel synthetic biology platform enables rapid and cost-effective transformation of protein binders into high-contrast nanosensors for various applications. The platform uses fluorogenic amino acids to increase fluorescence up to 100-fold, enabling the detection of specific proteins, peptides, and small molecules.
A recent study reveals racial disparities in cancer stage at diagnosis and survival for adolescents and young adults, highlighting the need for tailored interventions to achieve cancer care equity. The findings support health policy and funding implications, emphasizing the importance of addressing these disparities.
Researchers at CNIC discover clonal hematopoiesis as a new cause of atherosclerosis, while identifying the ancient medication colchicine as a potential treatment. Clonal hematopoiesis is linked to an increased risk of cardiovascular disease, with no influence on the progression of mutated blood cells.
Researchers have developed a cost-effective and easily reproducible point-of-care testing device that can accurately measure cortisol levels in the blood. The device uses iridium oxide nanoparticles to improve stability, sensitivity, and selectivity, allowing for commercial use.
Research suggests that diagnostic labels for people experiencing mild mental health issues can increase empathy and support, but also undermine perceived agency and expectations of overcoming problems. This study found varying responses depending on the disorder, with some conditions eliciting high empathy and accommodation support.
A multi-university research team led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can accurately spot genetic markers of autism in brain images. The system uses generative computer modeling technique called transport-based morphometry, which reveals brain structure patterns that predict v...
A new UBC Okanagan study emphasizes the importance of identifying and managing neuropathic pain in high-performance athletes with spinal cord injuries. The research stresses the need for sports medicine clinicians and trainers to use standardized assessment tools, including symptom-based questionnaires, to better understand and communi...
A study published in JAMA Network Open found that white patients are more likely to receive related diagnostic testing than Black patients after being discharged from the emergency department. This disparity raises concerns about potential overuse of tests in white patients versus undertesting and missed diagnoses in Black patients.
Researchers have made a significant breakthrough in vasculitis research using AI-powered big data techniques, enabling more precise identification of disease patterns. The study offers new insights into the diagnosis and treatment of systemic vasculitis, a group of rare autoimmune diseases.
Researchers highlight the importance of screening for urinary symptoms in men, linking them to cardiometabolic disorders. The study recommends addressing these conditions to identify and treat underlying heart problems early, potentially reducing morbidity and mortality among men.
A recent study by WVU researchers found that smartwatches and clinical testing measures for heart rate variability have significant differences. The study used simulation analysis to determine the validity of wearable devices' calculations, revealing that some methods produce wider ranges of error in measurement.
Researchers at Osaka Metropolitan University found that AI model GPT-4 outperformed a weaker version of the model and was on par with radiology residents in diagnosing musculoskeletal conditions. However, it struggled to match the accuracy of board-certified radiologists.
A cohort study found elevated depression and anxiety levels in unvaccinated people with COVID-19 diagnosis compared to before or without the virus. Vaccination was associated with lower incidence of mental illnesses after hospitalization for COVID-19.
A new biosensor prototype can measure biomarkers for heart failure in saliva, promising a more accessible and affordable way to screen for the condition. The device, which resembles a COVID-19 test, could enable people with limited access to medical facilities to check on their health regularly.
Researchers developed a machine learning model to predict individuals with elevated autism spectrum disorder (ASD) risk using limited medical and background information. This study shows promise for early identification and potentially improving ASD diagnosis and treatment strategies.
A new SERS microfluidic system was developed by Shanghai Jiao Tong University researchers, achieving a detection limit lower than 10 ppt of harmful substances. The system uses femtosecond laser-induced nanoparticle implantation into flexible substrate for sensitive and reusable microfluidics detection.
A new national study reveals significant regional variations in the likelihood of being diagnosed with Alzheimer's disease or another form of dementia. Despite controlling for demographic and population-level risk factors, the study found that differences in diagnostic intensity persist across regions.
Researchers found large language models are more accurate with concise, textbook-like medical questions than patient-written summaries. The models achieved higher accuracy when using standardized language, but struggled with variable phrasing and format of patient write-ups.
A clinical trial in Denmark found that offering women further screening opportunities during breast cancer screenings significantly increased their participation and enabled early diagnosis of other cancers. The study used a cluster-randomized crossover design and involved over 27,000 participants.
Researchers have developed a suite of parameters that can be used to quantitatively measure different physical characteristics of the lung. The parameters were found to be highly sensitive and specific for diagnosing fibrosis and edema in an animal model, using only five necessary parameters.
A new study found that hospital pneumonia diagnoses are often uncertain and revised, with over half of all cases involving a change in diagnosis. This uncertainty can lead to poorer health outcomes for patients who initially lack a pneumonia diagnosis but later receive a diagnosis.
Researchers highlight acute need for mental health services and support for men with prostate cancer. The study found that 15% of prostate cancer patients started anti-anxiety and antidepression medications at diagnosis, while only 6% sought help from mental health services.
A new study found no racial or ethnic disparities in prior authorization outcomes for Black and Hispanic patients, but Asian patients had higher rates of approvals compared to White patients. The study analyzed data from 18,041 cancer patients diagnosed between 2017 and 2020.
A cross-sectional study found that 60% of youth suicide decedents lacked a preceding mental health diagnosis, with racial and ethnic minorities having lower odds of diagnosis. The study highlights the need for equitable mental health identification and lethal means counseling to prevent youth suicide.
Research finds that individuals with newly diagnosed osteoarthritis and contraindications to NSAIDs continue to be prescribed these drugs. They also report higher opioid use and slightly lower physical therapy use, contradicting treatment guidelines for OA.
A new study suggests that healthcare providers sitting at a patient's eye level can improve trust, satisfaction, and clinical outcomes. By analyzing the results of existing studies, researchers found that patients appreciate clinicians who are not standing over them.
A new AI model can identify certain stages of ductal carcinoma in situ (DCIS), a type of pre-invasive breast cancer, that are likely to progress to invasive cancer. The model uses imaging and machine learning to analyze tissue samples and determine the stage of DCIS based on cell arrangement and organization.
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 study published in JAMA Network Open found that years of high systolic blood pressure increase the risk of stroke, with Black and Hispanic patients facing a higher risk. Early diagnosis and controlled high blood pressure are crucial to preventing stroke, especially in these populations.
Researchers measured thousands of blood proteins and found signatures that can predict the onset of 67 diseases, including multiple myeloma and cardiovascular risks. The protein prediction models outperformed standard clinical information in predicting disease risk.
A randomized crossover trial found that a joint-AI model improved clinical diagnosis, but future trials are warranted to confirm its effectiveness. The AI model demonstrated positive human-AI interaction, suggesting its potential to facilitate accurate diagnoses.
A distinct TNF-α signaling program has been identified as a key driver of epithelial cancer development, contributing to cell proliferation and invasion. The researchers found that this program is active in both normal tissues and tumors, but its level of activity correlates with tumor aggressiveness.
A new study found that children who move multiple times between ages 10 and 15 are 41% more likely to be diagnosed with depression than those who don't move. This effect is stronger than growing up in an income-deprived neighborhood, suggesting a settled home environment may protect against future mental health issues.
A new framework for diagnosing and managing obesity in adults proposes modernizing obesity diagnosis to take account of all the latest developments in the field. The authors recognize that BMI alone is insufficient as a diagnostic criterion and that body fat distribution has a substantial effect on health.
Developed by University of Tsukuba researchers, the wearable patch accurately measures insensible perspiration, allowing for real-time hydration monitoring. The patch also detects variations in pH levels and chemical components, making it a promising tool for dehydration management, stress monitoring, and disease detection.
A new machine learning technique called Dual-Channel Prototype Network (DCPN) can efficiently classify pathological images with limited data, which is essential for diagnosing rare diseases. The DCPN uses few-shot learning to make predictions and achieves noticeable advantages over other methods on three public datasets.
Scientists have developed a new immunotherapy that can identify and fight cancer cells in patients with Merkel cell carcinoma. The treatment involves stimulating the immune system's T cells against specific elements of the virus involved in cancer formation.
A new American Heart Association scientific statement highlights the benefits of palliative care in managing symptoms and improving quality of life for people with cardiovascular disease. Palliative care complements standard cardiovascular care by reducing physical symptoms, emotional distress, and assisting patients in making decision...
Researchers found that AI models that analyze medical images can predict patient demographics with high accuracy but struggle to diagnose patients from diverse backgrounds. The models use demographic shortcuts, leading to incorrect results for women, Black people, and other groups.
A recent study found that leading health organizations inaccurately portray depression as a disorder that causes symptoms. Researchers suggest this circular reasoning makes it harder for people to understand their distress. The study's authors aim to promote accurate understanding of mental health conditions.
The article reviews recent advances in applying artificial intelligence to oncology, showcasing promising improvements in cancer care. The authors emphasize the need for interdisciplinary collaboration, rigorous validation, and ethical principles to harness AI's potential.
A study found that a cuffless wrist monitor provides hundreds of readings in days, enabling clinicians to determine cardiovascular risk and improve hypertension care. The device's continuous readings help confirm diagnosis and guide medication titration, potentially revolutionizing hypertension management.
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 landmark study unveiled new automated diagnostic techniques, including liquid handling robots, to detect necroptosis in patients with ulcerative colitis or Crohn's disease. The findings provide critical insights into how necroptosis contributes to various inflammatory diseases and offer practical methods for treatment.
A new, streamlined urine DNA test detects primary bladder cancer more accurately than current methods, potentially reducing the need for invasive cystoscopy. The test shows high sensitivity and specificity, even for detecting high-grade noninvasive papillary carcinoma.
A study by Nanyang Technological University found that eight in 10 gastroenterologists in the Asia-Pacific region accept and trust AI-powered tools for diagnosing colorectal polyps. The study also highlights the need for more research into what influences doctors' acceptance of AI in their medical practice.
The number of US individuals with chronic hypertension in pregnancy increased significantly, while medication treatment remained low, according to a new study. The findings highlight the need for improved maternal health strategies to address high blood pressure and cardiovascular complications.
Researchers developed an AI-based screening tool that differentiates Alzheimer's disease and Lewy body disease by analyzing eye movement patterns. The tool provides a reliable method for identifying and distinguishing between the two dementia forms, which can aid in mitigating their impact on daily activities.
A new study published in PLOS One found that ALS patients treated by neurologists received interventions endorsed by the American Academy of Neurology, including non-invasive ventilation and feeding tubes. Disparities were found in treatment among Black and disadvantaged patients, highlighting the need for equitable care.
Using three definitions of iron deficiency, researchers found significant variations in prevalence rates among women in the US and Canada. Higher serum ferritin thresholds led to a greater diagnosis and treatment of iron deficiency, resulting in reduced morbidity.
A recent NTU Singapore study found that eight in ten gastroenterologists accept and trust the use of AI-powered tools in diagnosing and assessing colorectal polyps. The study, which surveyed 165 doctors in the Asia-Pacific region, also found that more experienced gastroenterologists perceived a lower risk of AI tools.
Researchers at Queen Mary University of London developed a predictive test using fMRI scans that detects changes in the brain's 'default mode network' to predict dementia. The test showed accurate predictions up to nine years before an official diagnosis, with greater than 80% accuracy and a two-year margin of error.
Researchers discovered that the youngest students in a class are overrepresented among those receiving an ADHD diagnosis or medication. This is due to teachers misattributing relative immaturity as symptoms of ADHD.
A new AI-driven tool can accurately diagnose Lewy body dementia by analyzing changes in vocal emotional expressions. The study found that individuals with Lewy body dementia exhibited more negative and calmer emotional expressions compared to those with Alzheimer's disease and healthy controls.
A new molecular test WID-qCIN detects significantly more cancers and precancerous stages than current methods, identifying 100% of invasive cervical cancer and 93% of serious precancerous lesions. The test reduces the need for colposcopy examinations by 40%, improving the effectiveness of screening programs.
A holistic approach to mental health management involves integrating medication with lifestyle changes, social support, and community engagement. This approach recognizes the interconnectedness of physical and mental factors affecting mental health, emphasizing individual rights and dignity.
A case study describes a 50-year-old woman with auto-brewery syndrome, experiencing extreme daytime sleepiness, slurred speech, and elevated blood alcohol levels despite not drinking alcohol. Antifungal medication and low-carbohydrate diets are the main treatment for this rare condition.
A self-powered sensor using triboelectric nanogenerator technology can detect movement during MRI scans, shutting them down in real time to produce clearer images. This innovation aims to improve the efficiency and reduce frustration for patients and technicians.