Researchers review advancements in biosensing technologies for neonatal sepsis diagnosis, highlighting the need for faster and more accurate methods. Biosensors offer a promising solution, detecting multiple parameters simultaneously with high sensitivity and accuracy.
New research published in eNeuro found that premature babies' brain connections at birth can predict their future emotional and social development. The study discovered a link between the strength of the uncinate fasciculus, a white matter tract involved in emotional regulation, and emotion moderation skills in preschoolers.
A new biomarker, HBcrAg, has been found to accurately predict viral load in patients with chronic hepatitis B and reflect response to anti-viral treatments. This discovery may lead to improved monitoring methods for CHB, enabling clinical decisions and potentially improving patient outcomes.
Researchers have discovered that reduced levels of sphingosine are significantly associated with developing COVID-19 symptoms, while elevated sphingosine and acid ceramidase levels are linked to asymptomatic infections. This biomarker has a high degree of accuracy in predicting patient outcomes.
Researchers identified predictive molecular biomarkers for non-response to anti-TNF and anti-integrin therapies in UC. Biomarkers in innate and adaptive immune systems, as well as proteolytic degradation, were found to be predictive of therapy non-response.
Researchers have developed a new integrative genetic test, LYNX, that analyzes standard and novel molecular markers in common lymphoid neoplasms. The test provides accurate detection of mutations, identification of large genome-wide chromosomal aberrations, and assessment of immunoglobulin and T-cell receptor gene rearrangements.
A recent study by Queen Mary University of London provides new insight into the mechanisms behind uncontrolled inflammation in COVID-19 patients. The research found that treatments increasing specialised pro-resolving mediators (SPM) production, such as dexamethasone, may play a key role in limiting disease severity.
Researchers predict two nicotine biomarkers, NMR and TNE, in smokers of multiple ethnicities using machine learning approaches. These models can estimate nicotine biomarker levels from DNA data or existing genomic information.
Researchers at the University of Pennsylvania School of Medicine have developed a framework to detect Alzheimer's disease and other forms of neurodegeneration using cerebrospinal fluid biomarkers. The ATN framework, which includes three biomarkers, has been shown to provide accurate diagnoses for patients with frontotemporal degeneration.
Researchers investigated CEA as a blood-based biomarker for anal cancer. Although CEA levels correlated with disease progression, they were not associated with survival outcomes or clinically relevant in managing the disease. Novel approaches with serum biomarkers are necessary for this rare and increasing diagnosed malignancy.
Researchers develop low-cost DNA biomarker technique to trace cocoa beans back to specific farms of origin. This approach could help end slavery and child labor in the global cocoa industry by providing consumers with accurate information about the ethics of their chocolate purchases.
The SCAIFIELD project aims to develop measuring protocols and procedures for maximizing the use of existing MRI technology. This will enable finer details of the human brain to be visualized, leading to better detection of pathological changes in neurodegenerative diseases such as spinocerebellar ataxias.
Researchers at Radboud University have identified new biomarkers for pyridoxine-dependent epilepsy, enabling better and earlier treatment of the disease. The discovery could lead to optimized treatment and improved chances of preventing cognitive disability.
A study has identified a microRNA-like small RNA encoded by SARS-CoV-2 as a reliable biomarker for stratifying severe COVID-19 patients from mild/moderate ones. This biomarker enables early detection of high-risk individuals, allowing for optimized treatment and improved treatment outcomes.
A new study by R&D at British American Tobacco found that switching to exclusive use of glo resulted in significant reductions in exposure to toxicants and indicators of potential harm compared to continuing to smoke. The study showed similar reductions in biomarkers as those who stopped smoking completely.
Researchers have identified stearic acid and ornithine as indicators of coronary microvascular disease (CMD), a condition that damages blood vessels and causes decreased blood flow to the heart muscle. The study suggests that estrogen may also play a role in CMD development, particularly in postmenopausal women.
Scientists have identified biomarkers that predict HIV remission after antiretroviral therapy (ART) interruption, which could help develop new therapeutic strategies for infection control. These biomarkers provide insights into the biological mechanisms controlling HIV replication and may aid in designing novel cure strategies.
A new study has identified a protein called pentraxin 3 (PTX3) that may be used to aid in the diagnosis of pancreatic cancer. PTX3 levels were found to be significantly higher in patients with pancreatic ductal adenocarcinoma, a type of pancreatic cancer.
Researchers have discovered several stool proteins that can detect colorectal cancer and inflammatory bowel disease, potentially replacing invasive endoscopy. These novel biomarkers were identified using aptamer-based screening and showed promise in early diagnosis and predicting disease progression.
The research data provides insights into the biology of Alzheimer's disease among Mexican Americans, highlighting lower levels of beta amyloid protein and earlier onset of cognitive loss compared to non-Latino whites. This comprehensive study is a first-of-its-kind examination of health disparities and diagnostic opportunities for unde...
A recent study by University of Missouri researcher Jennifer Hulett found a link between forgiveness, congregational support, and reduced stress biomarkers in breast cancer survivors. The findings suggest that spiritual practices like prayer, meditation, and yoga may improve physical health outcomes among cancer survivors.
Researchers detected changes in fractal motor activity regulation (FMAR) patterns in cognitively healthy adults, particularly among women, which were associated with preclinical Alzheimer's disease pathology. FMAR may serve as a non-invasive biomarker for testing and screening AD.
A new AI model can quantify individual deviations from typical aging trajectories in patients with mild cognitive impairment, indicating potential for earlier diagnosis and treatment. The study found that the model's predicted age difference was significantly associated with cognitive decline and progression to Alzheimer's disease.
Researchers developed a novel PET tracer to detect abdominal aortic aneurysms (AAAs) and predict rupture risk. The tracer, targeting chemokine receptor type 2 (CCR2), showed safety and effectiveness in diagnosing AAAs and assessing treatment response.
Case Western Reserve University researcher Farren Briggs has been awarded $1.2 million to identify biomarkers for more accurate MS diagnoses. The goal is to monitor disease activity and progression, ultimately improving treatment outcomes.
Researchers employed iTRAQ based quantitative proteomics to characterize protein alterations in fibroepithelial lesions (FELs) of the breast. The study identified three candidate biomarkers: MUCL1, HTRA1, and VEGFD, which were uniquely expressed in FAD, borderline, and malignant PTs, respectively.
Researchers at CNIC have discovered a specific blood marker for myocarditis, allowing clinicians to distinguish the disease from other cardiomyopathies. The biomarker, miR-721, was validated in numerous hospitals and has high sensitivity and specificity (>90%) for myocarditis diagnosis.
Researchers will discuss fundamental questions and applied technologies in physics, including dark matter, quantum information science, and ultrafast physics. New findings on creating unusual non-local interactions and detecting COVID-19 biomarkers with ultrasensitivity will also be presented.
A new study published in the Journal of the American College of Cardiology found that a diet proven to lower elevated blood pressure, known as the DASH diet, reduces inflammation and heart injury. The findings also showed that a low-sodium diet can improve cardiovascular risk factors in a relatively short time period.
Researchers found that urine protein biomarkers IL-1α, IL-1ra, and IL-8 can distinguish bladder cancer from controls with high accuracy. These markers also show promise in discriminating between different stages of the disease.
The Hungarian Canine Brain and Tissue Bank (CBTB) has made significant contributions to aging research by providing biological materials from pet dogs. Researchers found a positive correlation between CDKN2A expression and age in brain and muscle tissue, similar to human findings.
A new study has identified a link between a genetic variation called omentin and cardiometabolic health, specifically among Asian Indian participants. The researchers found that the role of adiponectin, an obesity-related biomarker, was linked to cardiovascular disease markers independent of common and central obesity.
GeroSense AI tracks biological age and resilience via smartphone sensor data, providing personalized health recommendations. The technology predicts biological age acceleration and stability, enabling timely detection of lifestyle or health status changes.
A new biomarker has been discovered to predict severe cases of COVID-19 with high accuracy. The number of natural killer T cells in the blood can identify patients at risk of developing severe disease.
A new study found that vegetarians had significantly lower levels of 'bad' cholesterol and higher levels of beneficial biomarkers like HDL cholesterol. However, they also had higher levels of fats and poorer kidney function markers, suggesting a more complex relationship between diet and health.
Researchers discovered a novel biomarker, AR CAG repeat length, which is associated with COVID-19 disease severity in men. A prospective study of 65 hospitalised COVID-19 positive men found that males with a CAG repeat below 22 nucleotides were significantly less likely to be admitted into ICU.
Biomarker concentrations were elevated among personnel with longer duration of service, particularly without a diagnosed brain injury or concussion. Repeated exposure to low levels of blast has been linked to symptoms such as headaches, fatigue, and tinnitus.
Elevated bio-ADM levels indicate disease severity and predict the need for extracorporeal organ assist in COVID-19 patients. Bio-ADM is a dynamic biomarker that indicates improved outcomes with low or decreasing levels.
The Digital Display Precision Predictor (DDPP) is a global biomarker model that predicts the duration of progression-free survival for cancer patients undergoing targeted therapy. It provides insight into the status of activation of almost all drug targets in tumor progression, enabling optimal treatment selection.
A new algorithm developed by researchers from the University of Eastern Finland uses blood biomarker measurements to aid in early diagnosis and differentiation between types of dementia. This innovation aims to provide precise diagnoses, enabling targeted treatment and improving patient outcomes.
Researchers found elevated levels of specific biomarkers in COVID-19 patients, particularly those with comorbidities like high blood pressure and diabetes. These findings suggest that non-invasive urine analysis could predict which individuals are at risk of developing severe disease.
A new study used autopsy data to evaluate the AT(N) framework, a standard tool for assessing Alzheimer's risk. The researchers found that even in the highest-risk group, a third of individuals did not develop dementia, highlighting the complexity of Alzheimer's disease and the need for additional biomarkers.
A team of scientists has identified serum cytokine concentrations as a quick and affordable means of classifying the severity of spinal cord injury in patients. The study aims to provide personalized healthcare decisions and accelerate research into spinal cord injury, with potential applications in developing countries.
A study by Zhang et al. has uncovered evidence of ancient marine algae in fossilized remains from 1400 million-year-old rocks, 600 million years earlier than previously known. The findings suggest that both green and red algal groups were present in marine ecosystems at this time.
Researchers have identified five novel diabetes subgroups with distinct biomarker profiles, highlighting the importance of inflammation in diabetes-related complications. These differences may enable early detection and therapy in individual subgroups, particularly those with severe insulin resistance.
Osaka University researchers used a photostabilizer to modulate fluorescence blinking in biochemical assays, allowing for the detection of a cancer RNA biomarker at ultralow concentrations. The technique increases fluorescence and eliminates blinking, providing a clear means to diagnose diseases in early stages.
New research suggests that HDL particles' anti-inflammatory properties may predict future cardiovascular events, improving risk assessment and prediction. The study found that individuals with lower anti-inflammatory activity in their HDL particles were more likely to experience cardiovascular events.
IU School of Medicine researchers have developed a blood test that can distinguish between severe depression and bipolar disorder, as well as predict future episodes. The test uses RNA biomarkers to inform tailored medication choices, offering a promising precision medicine approach to treatment.
Researchers at Buck Institute discover non-invasive biomarker test to measure and track performance of senolytic drugs, which target multiple age-related diseases. The biomarker detects a unique lipid metabolite released when senescent cells die.
The IASLC Molecular Database Project seeks to accelerate understanding of lung cancer biology, clinical care, and global scale. It aims to provide a platform for deeper, broader understanding of molecular testing and targeted therapy.
A team of researchers identified a novel biomarker, membrane-bound BASP-1 protein, to visualize adult human neural stem cells in the live mammalian brain. This discovery enables better understanding of neurogenesis and its relevance to neurological disorders, potentially leading to new therapeutic approaches.
A new diagnostic tool uses DPP3 to predict sepsis outcomes and guide early management. High DPP3 levels indicate severe sepsis and predict organ failure.
Researchers used quantitative proteomics to stratify fibroepithelial breast lesions, identifying three candidate biomarkers: MUCL1, HTRA1, and VEGFD. These markers show promise in augmenting existing diagnosis and monitoring disease progression.
Researchers at the University of Plymouth have discovered a biomarker, Fibulin-2 (FBLN2), that can distinguish between grade I and II meningioma tumours. This breakthrough could spare surgery for up to 85% of patients with lower-grade tumours, reducing the need for high-risk treatments.
A comprehensive analysis of biomarker testing reveals substantial variation in test utilization and treatment outcomes for stage IV NSCLC patients. Whole-genome sequencing may streamline diagnostic workflows and reduce complexity, but its cost-effectiveness remains uncertain.
Researchers at University of Montreal Hospital Research Centre have identified biomarkers associated with the severity of COVID-19. The study found specific immune alterations linked to SARS-CoV-2 infection and disease progression, which could help stratify patients by risk and identify new therapeutic targets.
Researchers found that conventional diagnostic methods for liver fibrosis do not accurately track the disease in patients who underwent Fontan surgery. The study revealed a unique regional development of fibrosis, which was not observed with hepatitis C and B, highlighting the need for new biomarkers and imaging techniques.
Researchers discovered five proteins associated with neutrophil activation that can predict severe COVID-19 outcomes. These biomarkers are elevated in patients who later require ICU admission or die from the virus.
A study found associations between urinary miRNAs and cardiorenal outcomes, including blood pressure and eGFR levels, in Mexican children. The researchers identified several miRNAs associated with kidney function, blood pressure, and electrolyte biomarkers.
Researchers discovered a blood biomarker that predicts kidney transplant rejection with a lead time of about eight months. The biomarker suggests using an existing medication to right the course of long-term recovery and prevent permanent damage.