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.
The study validates the use of SOFA-2 in sepsis care and research, demonstrating its ability to identify clinically meaningful organ dysfunction. The findings suggest that incorporating immune markers may not improve predictive performance, highlighting the biological complexity of sepsis.
A mobile endoscopy team performed over 500 procedures in rural hospitals across Western Cape, South Africa, revealing a high burden of treatable gastrointestinal diseases. The program substantially reduced patient travel, improving continuity of care and early cancer detection.
New diagnostic methods aim to detect RNA viruses with high sensitivity and specificity, overcoming the challenge of rapid evolutionary dynamics. The techniques include mutation-tolerant screening and precise mutation discrimination.
The American Society of Hematology released guidelines on the diagnosis of light chain (AL) amyloidosis, a rare and life-threatening disease of the bone marrow. The guidelines outline best practices for diagnosing the disorder, which typically takes about three years to diagnose.
Researchers successfully diagnosed and treated ten PCNSL patients using liquid biopsy, detecting hotspot MYD88 L265P mutations in circulating tumor DNA. This method offers a reliable alternative to surgical biopsies for patients with difficult-to-access lesions or frailty, enabling timely treatment initiation.
Researchers at Waseda University have developed an integrated smart contact lens that enables real-time intraocular pressure monitoring for early glaucoma diagnosis. The device leverages parity-time symmetry for ultra-sensitive wireless detection, increasing sensitivity by a factor of 183.
A case-control study found that even low-level air pollution in Sweden may increase the risk of developing motor neuron disease. Long-term exposure was also associated with poorer disease prognosis after diagnosis.
Steatotic liver disease can be precisely assessed using three-dimensional ultrafast vascular ultrasound. The technology visualizes subtle microvascular changes, enabling real-time monitoring of disease progression and therapeutic response.
A new blood test has identified a protein signature linked to cancer in patients with non-specific symptoms. The test distinguishes cancer from other conditions with high precision and can help prioritize patients for further diagnostics.
Researchers have identified a new method to predict asthma exacerbations with a high degree of accuracy, analyzing data from three large asthma cohorts. The study found that the ratio between sphingolipids and steroids was the most powerful predictor of future health.
Researchers have developed a web-based tool to identify people at risk of developing chronic kidney disease through subtle abnormalities in kidney function. The study shows that individuals with an eGFR below the 25th percentile had a markedly higher risk of developing kidney failure.
A new blood biomarker, brain-derived tau (BD-tau), tracks the extent of brain injury after ischemic stroke over time. It also predicts patient outcomes months to years later and detects differences associated with successful vessel reopening. BD-tau has potential applications for other neurological conditions.
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.
The American College of Chest Physicians released a new clinical guideline on biologic management in severe asthma. The guideline provides evidence-based recommendations for selecting biologics for different patient populations, considering factors such as baseline oral corticosteroid use and comorbid conditions.
ACCESS-AD aims to address Alzheimer's disease challenges with a coordinated framework for diagnosis, treatment and monitoring. The project combines advanced neuroimaging with digital biomarkers to support early patient identification and personalized treatment pathways.
A new clinical trial, PAGODA, seeks to minimize treatment interruptions and help patients complete their chemotherapy as planned. The trial will test a structured plan to guide doctors in making small, proactive changes to chemotherapy doses to prevent treatment delays.
Healthcare professionals in Canada assess applicants for medical assistance in dying (MAiD) using a careful and individualized approach. They consider the patient's life circumstances, support networks, and personal preferences when determining eligibility. The assessment process is often legally and morally complex, requiring provider...
A team from Chongqing Medical University developed a model that integrates sMRI and fMRI data to predict treatment responders, achieving high accuracy rates. The dual-branch graph attention network (DBGAN) captures coordinated brain changes linked to emotion regulation and memory processing.
A novel deep learning model, LA-TextCNN-BiLSTM, has been developed to improve the accuracy of automatic disease classification using ICD-11 for Chinese Electronic Medical Records (EMRs). The model achieved an 83.86% accuracy rate and demonstrated robust performance in multi-label classification.
Researchers created an ultrathin hydrogel electrode that can track vital signals without interruption, overcoming previous dehydration, freezing, and mechanical fragility issues. The new material forms a flexible layer that can withstand extreme temperatures and retain water content over time.
A recent study published in Gut journal revealed that Streptococcus anginosus produces methionine metabolites, which significantly contribute to the development of gastric cancer. The research opens new paths for microbiota-targeted prevention strategies.
A new clinical trial, RECIPROCAL, seeks to optimize targeted radiation therapy for men with advanced prostate cancer by adjusting treatment based on individual PSA levels. The trial aims to minimize side effects while preserving survival benefits.
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.
Research finds cancer cachexia-related immune cells impair T-cell negative selection, leading to irAEs. This study establishes a critical mechanism connecting cancer cachexia and irAEs, opening new avenues for targeted interventions.
A team of researchers at Osaka Metropolitan University has created two models to detect and fix common labeling errors in large radiographic collections. The models achieved high accuracy rates for body-part classification and projection/orientation detection, showing promising results for improving deep-learning models in medical AI.
The 2024 report shows improved care quality and accessibility across China, with a rise in early gastrointestinal cancer detection and improved colonoscopy quality indicators. Despite progress, regional disparities persist and costly treatments for IBD remain a challenge.
Researchers found that methylene blue can reverse brain damage caused by cerebral malaria and identified a nine-gene blood signature to diagnose the disease. The study's findings offer new clues on immune processes involved in brain injury and suggest potential for early intervention and clearer treatment decisions.
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.
Public Health Alerts provide concise, data-driven information on disease outbreaks and urgent health events. The new series, launched by NEJM Evidence and CIDRAP, offers expert-reviewed reports to support public health evidence-based care.
A study among WTC responders with chronic PTSD found measurable physical changes in their brain structure, including cortical changes and imbalance of myelinated to unmyelinated neurons. These changes were most strongly associated with re-experiencing symptoms in individuals with PTSD.
Researchers developed an AI model that can detect coronary microvascular dysfunction using a common electrocardiogram, outperforming previous models in diagnostic tasks. The model can accurately identify a condition often missed in emergency department visits, providing a cost-effective and non-invasive way to diagnose serious heart co...
This study found that vaccination before and during COVID-19 diagnosis in pregnancy significantly lowers the risk of severe maternal illness and premature birth. The results suggest that COVID-19 vaccination plays a crucial role in protecting pregnant individuals from serious health complications associated with the virus.
A study found that only 6% of FDA-approved drugs reflect the US racial and ethnic makeup, with a decline in Black and Hispanic enrollment between 2021 and 2023. The researchers recommend setting diversity goals at preclinical stages and collecting biological samples to understand how people's bodies react to medications.
A study published in Biological Psychiatry identifies a distinct immuno-inflammatory biomarker in the brain linked to immune system dysfunction and poorer response to standard treatments. The findings provide potential value for clinical prediction and precision therapies.
A new study found a significant rise in ADHD stimulant prescriptions in Ontario, with a 157% increase from 2015 to 2023. The study calls for better clinical guidance to ensure medications are prescribed appropriately and prevent adverse health effects.
Researchers at Florida Atlantic University have developed a deep learning model that detects and evaluates Alzheimer's disease (AD) and frontotemporal dementia (FTD) using EEG brainwave analysis. The model achieved over 90% accuracy in distinguishing individuals with dementia from cognitively normal participants.
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.
A case report describes a woman with radiation-induced cellular changes in her Pap smear that mimicked cancer recurrence. The study emphasizes the importance of recognizing these changes to prevent misdiagnosis and unnecessary medical procedures.
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.
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.
Researchers have developed a simple urine test that can effectively diagnose and stage bladder cancer using cell-free DNA fragmentation analysis. The study found that specific patterns of cfDNA fragmentation can identify muscle-invasive bladder cancer with excellent specificity and predictive value.
Scientists at Max Planck Institute develop a novel lab-on-a-chip system using intelligent hydrogel structures to simulate spatially and temporally controlled mechanical perturbations of biological polymer networks. The system applies precise pressure forces to cellular microenvironments, enabling research into biomechanical interaction...
Researchers at Rice University have developed a way to make serum markers more sensitive by editing them inside the bloodstream, enabling clearer observation of gene-expression changes in the brain. This approach could lead to more precise diagnostic capabilities using simple blood tests.
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.
A new review emphasizes the importance of smell health, highlighting its role in nutrition, cognitive function, and psychological resilience. Researchers call for a global campaign to promote smell health through education, awareness, and targeted public health policies.
A study of seven outpatient facilities found that 20-24% of all breast cancers diagnosed between 2014 and 2024 were in women aged 18-49. Invasive cancer cases accounted for 80.7%, often with aggressive types, challenging age-based screening cutoffs.
The study found that GLP-1 receptor agonists are increasingly used for postpartum weight loss in overweight women without a documented diabetes diagnosis. The primary indication for use was weight reduction, suggesting a potential shift in treatment guidelines.
Researchers created AI model popEVE that can identify disease-causing mutations in human proteins, even for unique cases. It ranks mutation severity across the body, helps doctors focus on most damaging variants first.
A study at Technical University of Munich found that AI-simplified CT reports reduced reading time to two minutes and improved patient comprehension. Patients rated the simplified texts as more helpful and informative, with 82% finding them easier to read and understand.
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.
Large language models can help improve psychological questionnaires by avoiding redundant items and making diagnosis more efficient. The study found that LLMs recognize common symptom associations and can be used to develop precise and efficient questionnaires.
A new urine test can detect SORD deficiency, a common cause of inherited nerve disease, earlier and more cheaply than genetic tests. The test has brought understanding and access to care for affected families, particularly in the Old Order Amish community.
Researchers have developed an innovative antibody-based enzyme switch called 'Switchbody', which is activated upon antigen binding. The switch's mechanism relies on a 'trap-and-release' process, offering new opportunities in diagnostics and therapeutics.
Researchers at The University of Osaka have developed a novel Balloon-Assisted Bronchoscope Delivery (BDBD) technique, enabling safe access to small, early-stage lung cancers hidden in the peripheral lung fields. This innovation promises to revolutionize both early diagnosis and minimally invasive treatment.
Researchers are presenting groundbreaking findings at the Association for Molecular Pathology's annual meeting, including a novel technique to study ancient DNA and rapid detection of serious fungal pathogens. The Association for Molecular Pathology is providing press materials and resources for media coverage.
Researchers have developed a new molecular test to identify Lyme disease earlier and more accurately than traditional methods. The test can detect as few as five bacterial cells and has an estimated sensitivity of 90.9%, making it a potential new avenue for testing Lyme disease.
A deep learning system developed by Incheon National University integrates images and clinical details to improve early skin cancer diagnosis. The model achieved 94.5% accuracy, outperforming popular image-only models.
Artificial intelligence is being used to improve diagnostic accuracy in molecular pathology, with studies showing 93% accuracy for cancer diagnosis. Researchers are also using AI to analyze chromosomal changes in blood cancer patients and provide personalized treatment plans.
Researchers at UCSF used AI to analyze clinical notes from multiple providers to improve HRS diagnosis accuracy. The technology offers a unified summary of the care team's consensus, aligning care decisions and expediting treatment plans.