Articles tagged with Medical Tests
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.
A study found slightly lower adenoma detection rates in adults aged 45-49 compared to older groups, consistent with previous evaluations of screening colonoscopies. The study's findings suggest that the lowered screening age may have a beneficial effect on colon cancer prevention.
A circulating tumor DNA-based blood test demonstrated acceptable accuracy for colorectal cancer detection in an average-risk population. However, it struggled to detect advanced precancerous lesions, highlighting the need for further improvements.
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 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 found that artificial intelligence tools can accurately predict disease for patients with typical symptoms but struggle with those exhibiting atypical symptoms. Human oversight is necessary for high-quality patient-centered care when using AI as an assistive tool.
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.
The USPSTF recommends early, universal screening for syphilis infection during pregnancy to prevent congenital syphilis. Untreated syphilis can cause premature birth, low birth weight, and stillbirth in the fetus.
A new $4 million grant will test whether Prostate Specific Membrane Antigen (PSMA)-Positron Emission Tomography (PET) Computed Tomography (CT) can improve prostate cancer monitoring while reducing screening-related harms. The study aims to reduce the need for biopsies in men with low- or intermediate-risk prostate cancers.
Researchers found that patients taking HIV drugs called NRTIs are substantially less likely to develop Alzheimer's disease. The study, led by Jayakrishna Ambati, analyzed data from two large health insurance databases and determined a significant reduction in Alzheimer's risk among patients on NRTIs.
A single blood test could identify early-stage cancer in up to half of cases, potentially preventing late-stage disease and improving patient outcomes. Regular MCED testing showed more favourable diagnostic rates than usual care alone, with annual screenings having a higher impact on stage shift.
The journal is inviting submissions on AI applications in biomedical engineering, focusing on medical device development, personalized diagnostics, and patient outcome prediction. Accepted articles will be published as part of a themed section showcasing current research on AI applications in biomedical engineering.
A new $2.7 million NIH grant aims to develop a one-step confirmatory laboratory test for active syphilis infection, which can be diagnosed within 10 minutes. The proposed platform uses electrochemical sensors to detect both treponemal and non-treponemal antibodies, providing a more definitive diagnosis and treatment plan.
Tablet-based hearing tests were found to be feasible and acceptable in routine family medicine, with 27% of screened patients showing some level of hearing impairment. The study suggests that these tests may help general practitioners diagnose hearing disorders more accurately.
A digital cognitive assessment was implemented in primary care to detect early dementia and guide next steps. The study found that 10.8% of eligible patients underwent the test, with 44.3% categorized as unimpaired and 13.7% as impaired.
Researchers identified key tasks in a speech assessment battery to detect primary progressive aphasia, a rare neurodegenerative disease. Early detection can lead to slower disease progression and improved communication skills.
Researchers at Mayo Clinic developed AI-ECG tools that can detect heart muscle weakness in women of childbearing age, allowing for earlier identification and management. The tools demonstrated high diagnostic performance, with an area under the curve of .94 for AI-ECG and .98 for AI digital stethoscope.
Researchers at Amsterdam UMC have developed a new diagnostic test that measures CRP protein in cerebrospinal fluid to quickly diagnose bacterial meningitis. The test has been shown to be very reliable and can start treatment within half an hour of diagnosis.
Researchers found that measuring lipoprotein markers in a simple blood test can identify individuals at high risk of cardiovascular disease more effectively. The study analyzed data from over 200,000 people and showed that the total number of 'bad cholesterol' particles is the most important factor to consider when testing for future h...
Researchers at Rice University developed a new machine learning algorithm that excels in interpreting light signatures of molecules, materials and disease biomarkers. The tool can detect subtle signals in optical spectroscopy, enabling faster medical diagnoses and sample analysis.
Researchers developed a new method to determine optimal threshold time for restricted mean survival time analysis, improving statistical power in clinical and epidemiological studies. The method outperformed traditional statistical analysis methods in real-world scenarios, revealing clear differences between treatment groups.
A new study at Stellenbosch University found that blocking the enzymes involved in glycolysis could cut off the malaria parasite's primary energy source and kill it. This approach has shown promise for developing new malaria drugs, particularly against resistant parasites.
Common prescription medications can disrupt sterol biosynthesis, potentially causing developmental disorders. The editorial highlights the need for mandatory sterol biosynthesis screening in clinical practice.
Researchers at the University of Tokyo have identified a simple, noninvasive method for assessing blood glucose regulation — an essential factor in diabetes risk. A new algorithm based on continuous glucose monitoring (CGM) data accurately predicts diabetes risk and complications.
Researchers have discovered that pyrvinium pamoate, a common pinworm medication, can inhibit cancer cell growth and reverse neuroendocrine features in Merkel cell carcinoma. The medication also reduced tumor growth in mouse models of the disease.
A new method, CIBA, enables safe delivery of stem-cell-based treatments directly into the lungs of ECMO-supported patients. The technique has been proven to be well-tolerated and has shown potential for treating end-stage interstitial lung disease.
A new method using UV light and machine learning can detect microbial contamination in cell cultures, providing a quicker yes/no assessment within 30 minutes. This technology aims to reduce the time spent on sterility tests, making it crucial for life-saving treatments.
The University of Virginia has appointed Dr. Mark T. Esser as the inaugural head of its Manning Institute, a $350 million facility aimed at transforming healthcare and accelerating new treatments. Esser brings decades of experience in developing new medical breakthroughs and will foster an ecosystem of innovation to attract biotechnolo...
A new study found that more 'optimistic' medical detection dogs performed better overall on detection tasks, while 'pessimistic' dogs had higher scent detection specificity. The researchers suggest that judgment bias testing could be a screening tool for potential detection dogs.
The WNFC's player ambassadors will amplify public service announcements, social media content, and local community education events to raise awareness about cardiovascular disease and CPR education in women. The league has also implemented a requirement for all coaches to be certified in CPR, AED, and first aid.
A new study published by the American Academy of Neurology found that having a father with Alzheimer's disease may be associated with a greater spread of tau protein in the brain. Female participants also showed a heavier buildup of tau protein, highlighting potential vulnerabilities.
Researchers used data from 9,000 pregnancies to discover and validate RNA signatures that distinguish between severe and mild hypertensive disorders of pregnancy. The study validates Mirvie's simple blood test to predict preeclampsia early, at 17.5-22 weeks gestational age.
A new study published in Annals of Internal Medicine found that AI diagnostic and treatment recommendations were more accurate than those made by physicians in a virtual urgent care setting. In 77% of cases, AI recommendations were rated as optimal, compared to 67% for physicians' decisions.
A new Northwestern University study finds that NU-9 improves neuron health in animal models of Alzheimer's disease by addressing the underlying mechanisms of misfolded proteins. The drug reduces protein buildup and prevents inflammation, showing potential for treating neurodegenerative diseases.
A new system for early detection of Autism Spectrum Disorder (ASD) has been developed using virtual reality and artificial intelligence. The system, which uses biomarkers related to behavior, motor activity, and gaze direction, achieves an accuracy of over 85%, surpassing traditional methods.
A Phase 3 trial found that ChemoID improves objective response rates, median progression-free survival, and duration of response in patients with recurrent platinum-resistant ovarian cancer. The test identifies effective treatments by challenging cancer stem cells against specific anticancer drugs.
Engineers at University of Bristol spin-out company Impulsonics have created a technology that can move cells using acoustic waves, enabling critical lab tasks to be carried out on a benchtop device. This innovation has the potential to accelerate drug discovery and unlock personalized medicine screening in clinics.
The device uses AI technology to detect potential heart problems and provides real-time health insights. It has multiple points touching the skin near the heart, allowing for more accurate tracking even during movement.
A groundbreaking study reveals that autistic children exhibit social attention patterns similar to their typically developing peers during play, with a primary focus on toys rather than faces. This challenges the longstanding assumption that reduced eye contact is a definitive marker of autism.
Researchers developed a blood test that accurately diagnoses Alzheimer's disease and measures its progression. The test correlates with the amount of tau aggregates in the brain, distinguishing between early- and late-stage diseases.
Researchers at NCSA and UICOMP have created an improved, automated screening method for anxiety and depression disorders using machine learning and acoustic analysis of verbal fluency data. The new tool offers promise for overcoming barriers to diagnosis and treatment.
The Association for Molecular Pathology (AMP) has won a court ruling that vacates the FDA's rule on laboratory-developed test procedure regulation. This decision will avoid adding billions of dollars in healthcare costs and protect access to high-quality care for hundreds of millions of Americans.
A study found that patient navigators significantly improved one-year follow-up colonoscopy completion rates by 12% and reduced time to follow-up by 27 days. The researchers emphasize the importance of timely follow-up colonoscopies for patients with abnormal stool test results.
Researchers propose GLDH as a more liver-specific biomarker for detecting liver injury, offering greater specificity than current ALT and AST tests. The test performed similarly to ALT for detecting liver injury but was not impacted by associated muscle injury.
Researchers have identified six promising biomarkers that can detect drug-induced kidney injury earlier than traditional markers, enabling more timely monitoring during drug development. These biomarkers could lead to the development of safer medications and improve patient outcomes.
The C-Path-led initiative brought together clinical trial sponsors, eCOA technology providers, and regulators to identify and address eCOA implementation issues. Key resources developed during the initiative include guidance on COA data collection and a more open, collaborative environment.
A new study presents a proof-of-concept leptomeningeal neural organoid (LMNO) fusion model to study meninges-brain signaling. The co-culture system of neural organoids fused with fetal leptomeninges from mice demonstrates stability and interface characteristics.
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...
Researchers at the University of Zurich have developed a technology to test 25 antibodies simultaneously in a single mouse, greatly reducing the number of laboratory animals required. The method uses protein fragments as barcodes for analysis, allowing for high-quality preclinical data on multiple antibody candidates.
A new approach has been tested, bringing together child health services, specialist care, and the municipality, resulting in faster support for young children with autism. The average age at which children are diagnosed with autism has fallen from three years and eight months to two years and seven months.