Research on the tests that detect and monitor disease. Covers blood tests, cancer monitoring, emergency diagnostics, and new patent-pending assays.
Researchers at Charité develop test to determine circadian rhythm using hair roots, revealing genetic and lifestyle factors influencing internal clock. The new method shows promise for tailoring therapies to individual rhythms, potentially improving treatment outcomes.
Researchers discovered subtle changes in the blood can reveal early signs of cognitive decline caused by chemicals produced by gut bacteria. A blood test may one day transform how we detect dementia, potentially identifying people at risk years before symptoms appear.
Researchers developed a physics-based model for competitive lateral flow assay (LFA) test strips, improving commercial fentanyl test strips' sensitivity. The new method enables actionable guidance for sensitivity optimization across various LFAs.
Researchers are developing a comprehensive diagnostic toolkit to detect lymphatic disorders earlier and as part of routine physical exams. The team, led by Dr. Zhenpeng Qin, is working on identifying biomarkers for lymphatic diseases through blood samples.
A study found that inflammation markers may signal depression in women with type 2 diabetes, but vary based on depression symptoms and measures. The research suggests a path toward precision mental health by identifying specific inflammatory biomarkers linked to different dimensions of mental health.
A cohort study found that smokers with negative baseline low-dose computed tomography findings had a significantly increased long-term lung cancer risk, becoming apparent only after two years of screening. This suggests supporting extended initial screening intervals and personalized long-term monitoring based on smoking history.
Professional dancers experience high levels of physical strain and ergonomic stress, with 25% developing osteoarthritis by their late twenties. The study suggests optimizing training sessions, flooring, and organizational changes to reduce injury risk and wear-related conditions.
A decrease in colorectal cancer incidence was observed among individuals with negative screening colonoscopy results, particularly men, suggesting risk-based follow-up strategies. Nonadherence to scheduled colonoscopies increased the risk of CRC, highlighting the need for targeted interventions to improve early detection.
Researchers developed a computational tool that infers telomere length from structural changes in cells and tissues captured in medical biopsies. The TLPath model accurately predicts telomere length, providing new opportunities for studying human aging.
Researchers found that treating severe fetal megacystis with a vesicoamniotic shunt in the first trimester can improve survival rates and kidney function. In the study, 75% of children were born alive and 68% survived their first year of life, with most showing normal or only slightly impaired kidney function.
A new imaging test, PSMA PET/CT scan, has been shown to safely reduce the number of biopsies needed for suspected prostate cancer, with no harm to patients. The PRIMARY2 trial found that the scan could identify low-risk patients who did not need a biopsy, while targeting suspicious areas for those who did.
Emerging research across conceptual frameworks, biomarker science, digital phenotyping, and artificial intelligence synthesizes a translational pathway toward a more biologically grounded and clinically useful approach to psychiatric diagnosis. The current system falls short due to standardized clinical language and lack of biological ...
The Alliance for Clinical Trials in Oncology is spotlighting new trials for colorectal cancer in March, focusing on early detection methods and treatments for treatment delays and loss of appetite. The trials aim to improve patient outcomes, with several enrolling patients with newly diagnosed colon or rectal cancer.
Cancer cell-derived small extracellular vesicles can be excreted into urine, according to researchers who tracked their journey in mouse models. The study reveals that glomerular cells actively transport sEVs across the filtration barrier, supporting their use in emerging urine-based cancer diagnostics.
Researchers studied Norwegians with reported chronic health problems linked to tick bites, finding no objective evidence of persistent infections. The study suggests that physical activity and labour force participation may be more related to symptoms than tick exposure.
A new study suggests that AI can help doctors detect serious heart valve disease years earlier, potentially saving thousands of lives. The AI algorithm correctly identified 98% of patients with severe aortic stenosis and 94% of those with severe mitral regurgitation.
A new imaging technique using ultrasound-guided diffuse optical tomography can reduce unnecessary benign breast biopsies by nearly 25%, according to a recent study. The technology uses near-infrared light to create 3D pictures of tissues, revealing functional differences between normal and cancerous tissue.
The use of next-generation sequencing in newborn screening can detect a wide range of genetic disorders, some of which are not currently testable through traditional means. This approach enables earlier disease detection and long-term health planning.
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.
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.
A national longitudinal cohort study found consistently worse mental health outcomes among middle-aged and older adults at high risk of obstructive sleep apnea. Integrated screening and intervention strategies are needed to address this association.
Researchers found large language models susceptible to malicious input manipulation, leading to potentially hazardous health recommendations. The study highlights the need for robustness testing and regulatory oversight before clinical deployment of these AI tools.
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.
A new diagnostic method using AI and genetic information can accurately identify pneumonia in critically ill patients, distinguishing between infectious and non-infectious causes. The model has been shown to reduce inappropriate antibiotic use by over 80% and could lead to faster diagnosis and improved patient outcomes.
Researchers developed a new diagnostic chip that can detect tumor cells in blood, allowing for real-time monitoring of brain cancer treatment effectiveness. The GlioExoChip uses extracellular vesicles to assess treatment response, providing a quick and minimally invasive way to inform doctors about chemotherapy efficacy.
A novel diagnostic approach enables rapid detection of both antibiotic resistance and high virulence in Klebsiella pneumoniae, a microorganism driving the global antibiotic resistance crisis. This breakthrough could support timely, targeted therapy and strengthen infection-control strategies in healthcare settings.
A secondary analysis of the WISDOM trial found a substantial number of women with clinically actionable genetic variants, many not qualifying for current guidelines. This study supports broader access to genetic testing for personalized breast cancer risk assessment.
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.
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.
The UCF Health Mobile Health Clinic provides free high-quality healthcare services to underserved communities, serving as a real-world classroom for medical and nursing students. The clinic aims to reduce preventable conditions and improve long-term health through comprehensive screenings, chronic disease monitoring, and education.
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.
Lung cancer screening has the potential to prevent 3 times more deaths and gain 3 times more life-years than current levels. Increasing awareness and accessibility of lung cancer screening could lead to wider adoption.
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.
Researchers developed an AI model that outperforms radiologists in detecting hidden objects on chest scans, particularly for cases of foreign body aspiration. The model achieves high precision and recall rates, helping doctors diagnose complex conditions more reliably.
A liquid biopsy test may enable early detection of various cancers, increasing stage I–III diagnoses by 10-30% and stage IV diagnoses by 45%. This could improve patient outcomes and reduce the economic impact of cancer. The study's findings suggest a game-changing approach to cancer control.
A new study published in the Chinese Neurosurgical Journal explores an AI tool that identifies medulloblastoma subgroups based on magnetic resonance imaging scans. The model achieved impressive accuracy in predicting molecular subtypes and genetic risk factors, with 91% accuracy for TP53 mutations and 87% accuracy for chromosome 11 loss.
The increasing use of unregulated psilocybin mushrooms poses a pressing need for public education, potency testing, and age-specific risk assessment. Existing clinical data are insufficient to guide harm reduction or policy, highlighting the need for real-world research on psilocybin use.
The DEFEND study aims to assess whether virtual exercise sessions can be successfully delivered to patients with cancer receiving chemotherapy. Researchers will evaluate the impact on physical function, fatigue, and disability.
Researchers have developed a blood test that detects Parkinson's disease by analyzing the activity of immune cells. The study found 22 genes whose expression was altered in patients with Parkinson's, suggesting potential diagnostic markers and insights into the disease's mechanisms.
Colorectal cancer screening modities shifted among privately insured individuals after COVID-19, with decreased colonoscopy and fecal tests, increased stool DNA tests. Differences found by sex, socioeconomic status, and metropolitan area residence.
A team of UCF researchers is creating a single low-cost test to detect multiple viruses simultaneously, which may be used in resource-limited settings. The test has the potential to save lives by providing quicker and more accessible results.
Scientists have developed a high-accuracy blood test to diagnose Chronic Fatigue Syndrome (ME/CFS), with 96% sensitivity and 98% specificity. The test uses EpiSwitch technology to identify unique DNA patterns in patients, offering new hope for diagnosis and treatment.
A new study shows that a multi-step effort to reduce unneeded pre-operative testing, using a tailored program for each hospital, can lead to significant reductions in wasteful tests. The findings have already spurred an expansion of the program to 16 more Michigan hospitals.
A recent study suggests that the rise in early-onset cancer incidence in the US population may not be as significant as initially thought. Much of the increase is attributed to increased diagnostic scrutiny and over-diagnosis, rather than a genuine rise in clinically meaningful cancer cases.
Leading researchers are advocating for increased diagnostics and treatment of Alzheimer's disease, citing significant advances in research and the availability of new medicines. The European Union has approved two medicines that slow the progression of mild dementia by removing amyloid plaques from the brain.
A study found that women receiving mental health services had faster reductions in depression over time, emphasizing the potential impact of scalable interventions during this critical period. The research underscores the importance of routine and consistent screening, monitoring, and treatment of perinatal depression and anxiety.
Researchers at Tulane University have developed an enhanced CRISPR-based tuberculosis test that works with a simple tongue swab, detecting TB in samples with very low levels of bacteria. The new test shows high sensitivity and accuracy, offering a significant step forward toward effective diagnoses via a variety of samples.
A Japanese study has identified four distinct patterns of immune response after COVID-19 vaccines, with a 'rapid-decliner' group experiencing faster decline in antibody levels. Monitoring changes in antibody levels may help identify individuals at greater risk of infection and inform more effective vaccination strategies.
A new study published in JAMA finds biparametric magnetic resonance imaging (MRI) to be more efficient than multiparametric MRI for prostate cancer diagnosis. By adopting biparametric MRI, the global healthcare system could see a substantial increase in scanner throughput and cost reduction.
Researchers developed AI models that can identify signs of heart failure in patients from Appalachia using low-tech electrocardiogram results. The models achieved high accuracy and could potentially provide clinicians with an edge in protecting patients' cardiac health.
A study suggests that children's depression may contribute to worsening maternal depression, rather than the other way around. This finding highlights the need for family-centered approaches to mental health care.
Research at DZNE suggests that immune response plays a significant role in Alzheimer's disease, causing olfactory dysfunctions by attacking neuronal fibers. This may enable the development of early diagnosis and treatment methods.
Researchers at Arizona State University have developed a rapid and accurate diagnostic test called NasRED that can detect diseases like COVID-19 with high sensitivity. The test uses tiny gold nanoparticles to identify disease-related proteins in a sample of bodily fluid, providing lab-quality accuracy without expensive equipment.
Local-stage colorectal cancer incidence among US adults ages 45-49 increased by 50% between 2021 and 2022, with a steep rise in 2019-2022. Screening rates also increased during this period, driven by recommendations to start screening at age 45.
A new study published in JAMA Health Forum suggests that Medicare could save $3.6 billion annually by eliminating or reducing low-value tests and procedures for patients who do not benefit from them. This reduction in unnecessary care could also result in $800 million less in out-of-pocket costs for older adults.
A technology expert predicts AI-based medicine will revolutionise care for Alzheimer’s and diabetes, but access must be made available to all patients. The author highlights key innovations such as diagnostic imaging and surgical robots that will aid in more accurate diagnoses and treatments.
The MISSION Act implementation led to significant decreases in travel times for eligible veterans seeking non-VA care. However, this shift was linked to a rise in major adverse cardiovascular events within 30 days of procedures like percutaneous coronary intervention and coronary artery bypass grafting.
Researchers developed a test to detect early-stage solid tumors using a blood sample, identifying patterns in amino acid concentrations that can translate into diagnostic signals. The test achieved an 87% positive rate and showed potential for precision medicine in choosing treatments.
A new blood test leverages AI to identify Lyme disease sooner and more accurately than current standard tests, with sensitivity and specificity over 90%. Additionally, an AI tool, Medicine-GPT, demonstrates promise in helping adolescents gather useful medical information, outperforming ChatGPT-4 on completeness and helpfulness.