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.
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.
Researchers aim to create machine learning tools that can analyze and quantify shape information from images, enabling more accurate diagnoses and improving patient care. A new family of deep neural networks, called DSNNs, will be developed to tackle AI's blind spot in image analysis.
Researchers at Florida State University have identified a low-cost method to predict dementia risk by analyzing data from nearly 13,000 subjects. Interviewer ratings of a person's memory performance were found to be strongly associated with the likelihood of developing dementia over a 15-year period.
A team led by CHLA's Dr. Jesse Berry is conducting an international liquid biopsy retinoblastoma study to investigate the use of liquid biopsies for diagnosis and disease severity determination. The study will provide valuable genetic and chromosomal information, enabling oncologists to diagnose retinoblastoma at a molecular level.
A new study from the University of South Australia reveals that golfers have a higher lifetime prevalence of skin cancer compared to the general population. The research highlights the importance of sun protection strategies for golfers, who spend extended periods in the sun.
Researchers developed a reinforcement learning model that incorporates human decision-making criteria to improve AI accuracy in skin cancer diagnoses. The study showed increased sensitivity for melanoma and basal cell carcinoma, leading to more accurate diagnoses and optimal treatment decisions.
A new study by Brighton and Sussex Medical School finds that 24% of autistic doctors have attempted suicide, while 77% have considered it. The study highlights the need for workplaces to provide better support and awareness of autistic healthcare professionals.
The July issue of CHEST journal features 49 articles on clinically relevant topics, including disability rights and life-sustaining treatment. The journal offers complementary web resources, such as visual abstracts, to expand the reach of its research.
A new study found that information-sharing networks among clinicians improve patient care, especially for the worst-performing doctors. The researchers created an app that connected doctors in anonymous networks, showing their peers' diagnostic risk estimates and treatment recommendations.
A new editorial explores the potential of machine learning to enhance early cancer detection in primary care, leveraging extensive patient data and improving risk stratification accuracy. The authors emphasize the need for responsible implementation, collaboration, and validation across diverse populations.
A study published in Science reveals that ganglia in the neck region are responsible for disrupting melatonin production and causing sleep disturbances in people with heart conditions. Researchers found that macrophages accumulate in the ganglion, leading to inflammation and scarring, which can be treated with drugs.
A new study led by Indiana University School of Medicine researchers shows that primary care clinicians who receive specialized training can make accurate autism diagnoses for over 80 percent of young children referred with developmental delays. The EAE Hub system, a statewide network providing training and collaborative learning, has ...
A significant rise in ADHD diagnoses and prescriptions was observed in the UK over the past two decades, with a higher increase among adults. The study found that ADHD was more commonly diagnosed in children and boys than girls and women, and that the number of individuals receiving medication for ADHD increased significantly.
A new study published in Human Reproduction found that women with endometriosis are more likely to experience a reduction in live births before receiving a definitive diagnosis. The research, which included over 18,000 women with surgically-confirmed endometriosis, showed that the number of first live births among these women was half ...
Researchers at the University of Sydney have developed a photonic radar system that can accurately detect pauses in breathing patterns remotely. The system has been tested on cane toads and simulated human breathing devices, demonstrating its potential for non-invasive vital sign monitoring in clinical environments.
The study discusses the application of ChatGPT in global health research, revealing its ability to efficiently process vast amounts of data and identify disease risk factors. However, it also highlights several ethical considerations, including biases in data and discriminatory implications, which must be mitigated for responsible use.
A new study by University College London researchers estimates that between 150,000 and 500,000 adults aged 20-49 and 250,000 to 600,000 adults over 50 may be undiagnosed with autism. This brings the total autistic population in England to over 1.2 million, approaching double the government's cited figure.
A University of Arizona professor has developed a 1-minute frailty testing platform to screen patients for frailty, enabling better care decisions. The platform measures motor, heart, and brain function using wearable sensors, providing an accurate diagnosis.
A pioneering device captures single proteins stochastically, detecting them digitally at high concentrations. This breakthrough could lay the foundation for personalized disease prevention and treatment.
Recent studies in the New Journal of Pharmaceutical Analysis feature novel diagnostic tools, RNA sequencing-based workflows, and mechanical property evaluations to enhance cancer and cardiovascular disease treatment outcomes. These innovations aim to improve the therapeutic effect of drugs and promote personalized medicine.
Aneurysmal subarachnoid hemorrhage-related hydrocephalus is a complex syndrome that can lead to cognitive impairment and neurological damage. The new consensus guideline recommends standard-of-care approaches, including history review, head CT scans, and medications or surgical interventions to manage excessive intracranial pressure.
Researchers propose a new method to diagnose tubular abnormalities in diabetic kidney disease by combining sodium concentration measurement with urinary albumin. The study uses 23Na MRI, which images metabolic changes in sodium, revealing impaired countercurrent multiplication system in diabetic mice kidneys.
Researchers developed a non-invasive diagnostic method that analyzes sebum for biomarkers of early-onset atopic dermatitis in infants. The study revealed distinct gene expression profiles associated with AD, allowing for early detection and potential treatment monitoring.
A retrospective study found a 24% response rate to Docetaxel among patients with stage IV non-small cell lung cancer who experienced progression on immunotherapy. The median progression-free survival was 3 months, suggesting chemotherapy may still play an important role in treatment after immunotherapy failure.
A large-scale registry study found that older autistic adults have a significantly higher risk of injury, especially self-inflicted, and physical conditions such as type 2 diabetes and anaemia. Autistic individuals had a seven-fold risk of self-harm compared to non-autistic people.
A new study found that antipsychotic drug use increased in all provinces of Canada during the first year of the pandemic. The percentage of residents receiving these medications without a diagnosis of psychosis rose significantly. Meanwhile, other areas such as falls and pressure ulcers showed no significant changes.
The June issues of The American Journal of Psychiatry and Psychiatric Services focus on substance use disorders, opioids, and youth self-harm and suicide. The articles highlight the importance of addressing these issues to improve patient outcomes and reduce stigma.
Late-onset cognitive impairment emerged in adult childhood cancer survivors decades after diagnosis and treatment. Modifiable health behaviors and chronic health conditions significantly increase this risk.
A recent study published in JAMA Psychiatry found that fewer boys aged 15-19 commit suicide in Swedish regions with higher bipolar diagnoses. The study, which analyzed registry data from 2008 to 2021, showed an inverse association between population-adjusted bipolar diagnoses and confirmed suicides among males.
A new standard for diagnosing concussions has been established by an international group of experts, taking into account blood tests and cognitive assessments. The new criteria aim to reduce inconsistencies in diagnosis and improve patient care, as well as facilitate apples-to-apples comparisons between studies.
A new AI framework developed by Danish researchers significantly improves the accuracy of early stroke identification by human emergency call handlers. The study found that the AI framework achieved a recall of 63.0% and precision of 24.9%, compared to 52.7% and 17.1% for human handlers, respectively.
A team of researchers developed a deep-learning model called WearNet that uses Fitbit data to detect depression and anxiety. The study found that WearNet performed better than state-of-the-art machine learning models in detecting these conditions, producing individual-level predictions.
This article analyzes changes to China's COVID-19 protocol over 3 years, highlighting the evolving scientific evidence that informed these changes. The study demonstrates an evidence-based approach to refining diagnosis, treatment, and care protocols, effectively combating the challenges of COVID-19.
Researchers analyzed ECG data from 298 patients with cardiac arrest to predict treatment outcomes. The study found a connection between heart rate and QRS duration before the patient's pulse returns, allowing for more tailored treatments.
Increased expression of Musashi 1 on breast cancer cells has significant implications for understanding dormancy and survival in bone marrow. Msi 1 knockdown led to a reduction in cancer stem cells with undetectable PD-L1, suggesting a potential therapeutic target.
Researchers identified a broad list of diagnoses and higher risk of long COVID in New York City compared to Florida. Symptoms included dementia, hair loss, blood clots, and fatigue.
A new study reveals a shared molecular response to nanoparticles, linking immune activation and particulate matter exposure. The findings propose a solution to the 'one-chemical-one-signature' problem in chemical safety assessment.
A study of 390,000 infants found that those born to mothers with opioid use disorder or neonatal opioid withdrawal syndrome had a higher risk of postneonatal infant mortality. The study highlights the need for supportive interventions during and after pregnancy to reduce adverse outcomes.
A new study by UCL researchers hints at the possibility of detecting conditions such as coeliac disease and Parkinson's disease in principle up to 10 years before diagnosis. The review of existing evidence indicates a 'diagnostic window' – the point at which diagnosis may be possible for some patients.
Quitting smoking early after a lung cancer diagnosis was associated with lower mortality rates. Detailed smoking history collection can improve lung cancer prognosis and treatment selection. The study's findings suggest that smoking cessation timing may impact overall survival, particularly at different clinical stages.
New Finnish studies show that short bouts of light or moderate exercise can increase the number of immune cells capable of destroying cancer cells in cancer patients. The exercises were enough as short as 10 minutes to boost the immune system, with a positive impact on quality of life and prognosis.
Researchers discuss the importance of biomarkers in breast lump management, enabling patients to make informed decisions between proactive treatment and watchful waiting. The development of biomarkers could provide personalized risk assessments and guide treatment strategies for women with breast lumps.
A large study found that people with dementia are at higher risk of self-harm within the first 12 months after diagnosis. The researchers emphasize the importance of providing psychosocial and mental health supports to patients upon diagnosis, particularly men, who are more likely to develop dementia after self-harm.
A molecular autopsy revealed that a young child with mild COVID-19 symptoms died from cardiac arrest due to an atypical coronary artery anomaly and underlying Noonan syndrome, a rare genetic disorder.
The study revealed lower age-standardized rate of NENs incidence in China (1.14 per 100,000) compared to the USA (6.26 per 100,000). The most common sites for primary NEN tumors progressed were found to be the pancreas, stomach, lungs, and rectum.
Researchers investigated the roles of STAT3α and STAT3β in aggressive breast cancer and found that differential silencing of these isoforms leads to changes in STAT3 activation. This study emphasizes the importance of distinguishing between STAT3 isoforms for accurate cancer diagnosis and therapy.
A new study found that unintentional weight loss is grossly under-recognized in primary care, with only 21% recognized by doctors. The researchers recommend using electronic health record alerts to prompt clinicians to ask about intentional or unintentional weight loss, which can be a sign of a serious underlying condition.
Researchers are collecting data from patients' homes to improve diagnosis and treatment of ME/CFS. The study aims to tackle the unknown causes, characteristics, and effective treatments of the disease.
Researchers found that women with prediabetes after pregnancy had aberrations in their early pregnancy blood serum metabolomic profile, including higher concentrations of small HDL particles. These metabolic changes predicted prediabetes at postpartum and were associated with increased risk of type 2 diabetes.
Researchers found that bad medical news can make patients more likely to choose brand name drugs over generics, resulting in increased healthcare expenditures. The study suggests that simply reminding patients of the equivalency of generic drugs via text message could improve their decision-making.
A retrospective study found that elevated CA 19-9 and CEA levels were associated with worsened outcomes in duodenal adenocarcinoma patients. The study, which included 68 patients, suggests that these tumor markers may show promise as prognostic tools for this rare malignancy.
A machine learning model has been developed to predict a patient's risk for a sleep disorder using demographic, lifestyle, physical exam results, and laboratory values. The model identified depression, weight, age, and waist circumference as the greatest predictors of a sleep disorder diagnosis.
Researchers at Karolinska Institutet have discovered that a type of sugar molecule in blood is associated with the level of tau protein, a critical factor in severe dementia. Measuring blood glycan levels can predict Alzheimer's disease risk to 80% accuracy, almost a decade before symptoms appear.
Researchers at CZ Biohub SF developed a new diagnostic method for LRTI in children, leveraging machine learning and genomics to identify pathogens with high accuracy. The method uses metagenomic sequencing data to analyze gene expression and microbial abundance, providing a more holistic approach to diagnosing the condition.
High blood pressure in children is a significant health concern, potentially leading to cardiovascular problems in adulthood. The American Heart Association recommends monitoring blood pressure levels and implementing lifestyle modifications such as a healthy diet, regular physical activity, and weight management.
A national analysis of pediatric hospitalizations from 2009 to 2019 found a significant increase in mental health diagnoses, with attempted suicide being the leading cause. The study highlights the growing importance of addressing mental health concerns in children and adolescents.
Researchers at Rutgers University propose a new approach to accurately diagnosing cannabis use disorder, particularly for individuals who use cannabis for therapeutic purposes. The current diagnostic manual may misdiagnose these individuals due to the rapid increase in state-level legalization of medical marijuana.
A study of 110,780 participants in the UK Biobank found that individuals with a lifetime history of mental illness had metabolite profiles suggesting they were biologically older than their actual age. This may contribute to shorter lifespans and increased age-related diseases among those with mental health problems.
A study of 31 million births in US states with and without 20-week abortion bans found a significant increase in Down syndrome diagnoses in the former. The study suggests that these bans may have influenced women's reproductive choices, leading to higher diagnosis rates.
A recent review article highlights the significant impact of cancer on Hispanic patients and their caregivers, citing communication barriers, financial difficulties, and sociocultural issues. The study estimates 126,000 new cancer cases diagnosed yearly in Hispanics, placing a substantial burden on family members and friends.
A new study from British Columbia found that an increase in gestational diabetes rates can be largely attributed to changes in screening practices. After adjusting for screen completion and population factors, diagnoses of gestational diabetes increased by less than one-quarter over a 15-year period.