Research on how disease is diagnosed. Covers fetal-distress detection, faster diagnostics, redefining conditions, and bias in medical AI.
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 new lateral-flow test for mucormycosis has shown swift and accurate results in identifying the disease. The test detects the disease in 30 minutes with high sensitivity and specificity, making it a critical milestone in its development and potential commercialization.
Scientists have identified four biomarkers in ear wax that may indicate Parkinson's disease, and an AI-based screening model can detect them with 94% accuracy. This technology could pave the way for earlier diagnosis and improved patient care.
A landmark review highlights how diabetes alters bone microarchitecture and increases fracture risk in people with type 2 diabetes, despite normal or elevated bone mineral density. The authors advocate for updated diagnostic tools, including a revised TBS algorithm, to more accurately reflect bone quality in individuals with central ob...
A study of 7,944 ADHD patients found that telehealth-based relationships did not increase the risk of substance use disorder. However, patients aged 26 and above who received initial stimulant prescriptions during telehealth appointments were at higher risk.
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...
Research found that approximately 50% of participants with late-life depression and bipolar disorder showed tau accumulation in their brains, compared to only about 15% of healthy controls. The study suggests that neurodegenerative diseases, including Alzheimer's, can initially manifest as psychiatric symptoms.
Chronic liver diseases like MASLD and MASH affect 33% and 5% of adults worldwide, respectively. Experts propose doubling MASH diagnosis rate by 2027 to improve outcomes and reduce healthcare burdens. A paradigm shift towards preventive hepatology is key to addressing this growing public health threat.
Researchers developed a novel liquid metal electronic ink that allows for micro-scale circuit printing at room temperature, with reversible stiffness switching depending on temperature. This advancement marks a significant leap toward next-generation wearable, implantable, and robotic devices with tunable mechanical properties.
A new rapid test for sexually transmitted infections is being developed with £1m funding, aiming to diagnose infections in under 5 minutes. The test, developed by Linear Diagnostics, uses an exponential amplification technology that detects bacterial DNA quickly and accurately.
The new device, nicknamed ABLE, uses a natural process to condense airborne biomarkers into water droplets, allowing for accurate detection at low concentrations. This technology has immediate applications in hospitals and neonatal units, offering a less invasive alternative to blood draws.
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.
Emerging imaging technologies like Tomosynthesis, Contrast-Enhanced Spectral Mammography, and Molecular Breast Imaging improve detection of high-risk populations and dense breast tissue. AI Integration, Noninvasive Biomarkers, and Hybrid Techniques hold promise for reducing radiation risks and overdiagnosis.
A team of researchers from CRCHUM has identified a set of biomarkers in blood samples that could help diagnose Parkinson's disease. The study found that immune cells in the blood were activated and overexpressed genes associated with stress responses in patients with Parkinson's, forming a unique genetic signature.
Researchers discovered biomarkers in gut bacteria and metabolites that can help diagnose and treat gastrointestinal diseases. The study found that certain biomarkers could predict multiple diseases, including gastric cancer and inflammatory bowel disease.
Researchers used a new fMRI analysis method to measure cerebrovascular reactivity in 53 adults aged 51-83. They found an unexpected improvement in brain health in postmenopausal female participants, primarily in areas related to movement and memory.
The National Center for Excellence in Primary Care Research (NCEPCR) consolidates primary care research under one roof, enhancing the nation's primary care system. NCEPCR aims to tackle critical challenges such as workforce shortages and rising healthcare costs by curating essential tools and cultivating researchers.
A new smartphone app, ECHAS, can help people determine if they are suffering from a heart attack or stroke and need medical attention. The app, developed by experts at UVA Health and other leading institutions, proved effective in identifying patients with cardiac and neurological emergencies.
Researchers have developed a machine learning tool that identifies metabolism-related molecular profile differences between colorectal cancer patients and healthy individuals. The tool, called PANDA, shows promise as a noninvasive method of diagnosing colorectal cancer and monitoring disease progression.
Researchers at Kyoto University have developed a new non-invasive diagnostic method for insulinomas, which achieved 100% diagnostic accuracy in a Phase II clinical trial. The new method using positron emission tomography (PET) probe successfully detected cases difficult to diagnose through existing methods.
Researchers have developed a 3D micro-printed sensor that uses whispering-gallery-mode microlasers to detect biomarkers with attogram per milliliter sensitivity. The sensors' unique Limacon-shaped design improves efficiency and enables on-chip integration, making them suitable for high-performance lab-on-a-chip devices.
A review of 151 studies found that symptom invalidation can cause emotional states like self-doubt and shame, as well as behavioral changes such as avoiding medical care. The study recommends that healthcare providers validate patients' experiences, even in cases where a clear diagnosis cannot be made.
This study reveals periostin as a superior serum biomarker for diagnosing idiopathic pulmonary fibrosis, with high sensitivity and specificity compared to traditional markers. Periostin levels also correlate with disease severity and predict acute exacerbations in IPF patients.
A study published in JAMA Neurology found no evidence supporting a diagnosis of the New Brunswick neurological syndrome of unknown cause, highlighting the need for independent clinical evaluations. The data revealed presence of several neurodegenerative and non-neurodegenerative conditions instead
Researchers identified six risk groups for cardiometabolic complications in older people without type 2 diabetes, with a special high-risk group characterized by inflammation and insulin resistance. The study emphasizes the need for precise early detection and prevention strategies.
A modified surgical face mask can detect chronic kidney disease by analyzing the wearer's breath, showing high sensitivity for CKD-related metabolites. The sensor accurately identifies patients with CKD 84% of the time and those without 88% of the time.
Two new predictive algorithms use health data and blood tests to identify high-risk patients, offering improved accuracy in diagnosing cancers. The models identified additional medical conditions associated with increased cancer risk and new symptoms indicative of multiple cancer types.
This study compares laser-guided technology to conventional manual percutaneous lung biopsy, finding that laser-guided technology can reduce operational time and needle adjustments. However, it did not reduce complication rates or improve pathological diagnosis accuracy compared to traditional methods.
A new study found that age-, sex-, and race-specific standards could reclassify many thyroid disease diagnoses, with nearly half of subclinical hypothyroid cases being over-diagnosed. The study suggests using these standards to establish more accurate reference intervals for thyroid disease.
A study published in The Lancet Regional Health – Europe found that patients with low household income were more likely to be diagnosed late and receive less effective treatment for liver cancer. This highlights the need for targeted screening in deprived areas to improve early diagnosis and survival rates.
Researchers discovered how certain bacteria breathe by generating electricity, using a natural process that pushes electrons into their surroundings. This finding could enable new developments in clean energy and industrial biotechnology.
Researchers from Université Laval discovered a non-invasive retinal exam can detect Parkinson's disease biomarkers, offering early diagnosis and potential intervention. The study found distinct retinal responses to light stimuli in people with Parkinson's compared to healthy individuals.
Researchers at the University of Utah have developed RiskPath, an Explainable AI toolkit that predicts disease progression years before symptoms manifest. The technology analyzes health data to identify high-risk individuals with unprecedented accuracy, offering new insights into risk factor interactions and disease development.
A new review advocates for building confidence in AI applications by implementing robust data governance frameworks, enhancing transparency, and involving stakeholders. The authors emphasize the importance of addressing ethical implications and ensuring equitable access to AI-driven innovations in clinical oncology.
Researchers at Karolinska Institutet have identified biomarkers in the blood associated with long COVID symptoms, particularly severe respiratory disorders. The study found that these biomarkers are also linked to inflammatory signal pathways involved in cell death and lung damage.
Researchers at Karolinska Institutet have identified new biomarkers in urine that can indicate the presence and severity of prostate cancer with high precision. The findings surpass current blood biomarker PSA in terms of diagnostic accuracy.
A misfolded protein in spinal fluid facilitates reliable Parkinson's diagnosis even in its early stages. The biomarker has a sensitivity and specificity of over 90%, making it a promising tool for disease management and potential therapy development.
The percentage of publicly insured children receiving mental health or neurodevelopmental disorder diagnosis increased significantly between 2010 and 2019. Most diagnostic categories showed increases, emphasizing the importance of accessing appropriate services in safety net systems.
Patients who develop epilepsy after a traumatic brain injury are at an increased risk of premature death, with a mortality rate 1.8 times higher than those without epilepsy. The study also found that the risk of developing epilepsy is highest in the first year after the injury.
Researchers at Tulane University identified a potential new way to treat idiopathic pulmonary fibrosis (IPF) using an FDA-approved cancer drug. The treatment works by blocking the CTLA4 protein, which blocks overactive T cells, allowing the immune system to clear out damaged cells that cause lung scarring.
Juvenile-onset recurrent respiratory papillomatosis (JORRP) is a rare disease causing chronic hoarseness and breathing difficulties in children. New clinical guidelines provide actionable recommendations for early recognition, diagnosis, and treatment to improve long-term outcomes.
A recent meta-analysis found that generative AI's diagnostic accuracy is lower than that of specialist doctors, with an average accuracy of 52.1%. The study suggests that while generative AI has the potential to support non-specialist doctors in diagnostics, further research is needed to improve its capabilities.
Researchers at the University of Missouri's Thompson Center for Autism and Neurodevelopment have found that behavior at 9 months old can indicate a 1-year-old's likelihood of being at risk for autism. Parent surveys reported fussiness, irritability, and difficulty calming down were associated with early signs of autism by 12 months.
Researchers at the University of Cambridge have developed a handheld device that can accurately record heart sounds without requiring precise placement on the chest. This innovative device, which uses six sensors to capture clearer heart sounds, has the potential to transform heart disease screening and diagnosis.
Living in disadvantaged neighborhoods is associated with a higher risk of mortality from breast cancer in Black women. Community-level interventions aimed at reducing environmental stressors and improving access to high-quality cancer care could help reduce racial disparities in breast cancer survival.
A study of nearly 30,000 adults found that heart failure is associated with a significant decrease in cognition at diagnosis and rapid decline over time. Adults with heart failure reach the threshold for meaningful decline in global cognition nearly six years earlier than those without it.
A team of chemists from Virginia Tech found a way to visualize the intricate structure and chemical reactions of battery interfaces using an X-ray beam line. This breakthrough enables researchers to gain better control over these critical surfaces, potentially leading to cheaper, higher performance batteries.
Three UVA Engineering faculty members, Scott T. Acton, Gustavo Kunde Rohde and Shannon Barker, have been named to the 2025 class of the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows. They are recognized for their contributions to biomedical engineering research, innovation, teaching and leadership.
A new consensus paper emphasizes the role of bone turnover markers (BTMs) in diagnosing and managing osteoporosis. BTMs, such as procollagen type I N propeptide (PINP) and β-isomerized C-terminal telopeptide of type I collagen (β-CTX-I), are invaluable tools for predicting fracture risk and monitoring treatment adherence.
A new virtual reality-based system shows promise in improving psychiatric diagnosis by differentiating between common mental health conditions. The system uses immersive scenarios and physiological measurements to elicit emotional responses, suggesting enhanced diagnostic accuracy.
Researchers at Karolinska Institutet have developed a new method to diagnose COPD by analyzing protein levels in nasal lavage. The study found that elevated IL-26 levels can indicate an early phase of the disease, and may lead to new treatment strategies targeting this cytokine.
Researchers used a large language model to analyze clinical reports of autism patients and found that repetitive behaviors and special interests are most indicative of an autism diagnosis. The study aims to improve diagnostic guidelines by reducing the focus on social factors.
A new brief warns that assistive AI may worsen challenges related to error prevention and physician burnout. The researchers predict that medical liability will depend on who is considered at fault when the technology fails, subjecting physicians to unrealistic expectations.
A simple urine test has shown promising results in detecting early-stage kidney cancer recurrence, with a high sensitivity and specificity rate. The GAGome test can accurately identify patients at risk of recurrence, potentially reducing the need for invasive scans and enabling faster treatment access.
A new study has shown that high-resolution ultrasound can diagnose prostate cancer as effectively as MRI, with improved resolution and lower costs. The technology, called micro-ultrasound, is expected to speed up diagnosis, reduce hospital visits, and make imaging more accessible, particularly in less developed healthcare systems.
The INHALE-3 extension study found that a regimen of inhaled technosphere insulin and insulin degludec reduced post-meal hyperglycemia in adults with type 1 diabetes. The treatment showed significant improvements in mean time in range, with 43% of participants expressing interest in continuing the regimen.
A new study shows that comprehensive clinical assessments (CCAs) are equally effective to guiding treatment for women with overactive bladder or urinary incontinence, avoiding invasive urodynamics testing. CCA includes a medical questionnaire, physical examination, and tests such as urinalysis, revealing similar patient-reported outcom...
The Dexcom G7 CGM device demonstrated an accuracy of 8.0% in a study involving 130 adults with type 1 or type 2 diabetes, setting a new standard for continuous glucose monitoring devices.
A new study from the University of Surrey found that healthcare professionals face difficulties in recognizing and addressing disordered eating in people with type 1 Diabetes due to lack of support and limited confidence. This can lead to delays in diagnosis and potentially life-threatening complications for patients.
Patients from American Indian and Black communities are less likely to have elevated CA-125 levels at diagnosis, suggesting current thresholds may miss diverse patients. Inclusive diagnostic guidelines are needed to address disparities in ovarian cancer diagnosis and treatment.