Research on measurable signals of health and disease. Covers ultrasound imaging pipelines, fetal-distress detection, cancer monitoring, and fatigue biology.
A pioneering study identified critical biomarkers that can predict disability worsening in MS. Elevated serum neurofilament light chain and serum glial fibrillary acidic protein levels correlate with progression independent of relapse activity, guiding personalized treatment approaches.
Researchers at Tohoku University developed a new quantitative testing system called the Express Biochecker, which uses Janus particles to detect coronavirus N protein. The system is simple, rapid, and low-cost, with potential applications for other viral illnesses and biomarkers.
Researchers at Cranfield University have developed an innovative method for identifying biomarkers in wastewater using origami-paper sensors, enabling early detection of infectious diseases. The new test device is portable, fast, and cost-effective, making it a game-changer for public health measures.
A recent study found a correlation between higher anti-PD-1 autoantibody levels and lower survival rates in patients with advanced liver cancer, suggesting these autoantibodies as potential biomarkers for predicting treatment response. The discovery aims to improve treatment regimens for patients with liver cancer.
A new study by UT Health San Antonio found that higher levels of leptin are associated with better signal-transmitting brain white matter in middle-aged adults. The researchers also discovered a link between leptin bioavailability and reduced risk of cognitive impairment, providing potential insights into obesity's role in dementia.
A new study found that childhood trauma can have specific consequences for biological health and risk of developing 20 major diseases later in life. The study's findings differ by sex and type of stressor, highlighting the need for a precision medicine approach based on patients' sex and specific stress profile.
A survey of experts revealed six key challenges to biomarkers of aging in the clinical setting, including standardization and regulatory frameworks. Recommendations have been formulated to address these issues, aiming to advance the use of these tools in optimizing healthy lifespan.
The Mount Sinai Health System is deploying blood-based biomarkers and confirmatory tests for Alzheimer's disease and related dementias, enabling early detection and intervention. The system aims to stratify patients rapidly, non-invasively, and cost-effectively.
Recent advancements in high-throughput proteomics have unveiled new insights into protein involvement in various cancers. The review explores four key techniques, including mass spectrometry and next-generation tissue microarrays, highlighting their strengths and limitations for large-scale molecular analyses.
Established biomarkers such as CRP, ESR, vitamin D, and platelets continue to be vital in IBD management. Novel biomarkers like MAdCAM-1, oncostatin M, NOD2 mutations, and anti-Integrin αvβ6 offer promise for improving diagnostic accuracy and predicting treatment response.
The new diagnostic test system combines a field-effect transistor with a paper-based analytical cartridge, achieving over 97% accuracy in measuring cholesterol levels. This innovation has the potential to transform at-home testing and diagnostics with its high sensitivity, low cost, and machine learning capabilities.
Researchers at Klick Labs developed an AI technique using vocal biomarkers to predict chronic high blood pressure with up to 84% accuracy. The study used machine learning to analyze hundreds of indiscernible vocal biomarkers, including pitch variability and speech energy distribution patterns.
A $3.9 million grant from the National Institutes of Health supports a study on wearable sleep trackers and AI in predicting blood biomarkers of Alzheimer's disease in at-risk individuals. The research aims to create an 'early warning system' for flagging individuals with a genetic predisposition to Alzheimer's.
The FDA Letter of Support recognizes the potential of αSyn-SAA to accelerate clinical trial design in Parkinson's and related disorders. This biomarker can objectively detect early biology related to these diseases, enabling research toward tailored therapies and potentially delaying or preventing disease onset.
Researchers at UCSF identified signals in the metabolic system of infants who died from Sudden Infant Death Syndrome (SIDS), finding associations between lower C-3 levels and elevated C-14OH. Elevated biomarkers also led to reduced risk of SIDS, but further research is needed to validate these findings.
A new library of healthy participants' neuroimaging data has been created to aid in the diagnosis and treatment of traumatic brain injury (TBI). The Normative Neuroimaging Library consists of data from approximately 1900 individuals, providing a comprehensive dataset for clinicians and researchers.
Researchers at Umeå University have identified unique inflammatory protein profiles in the blood of individuals with severe periodontitis, which is associated with lower levels of EGF and OLR-1 proteins. The study provides a promising lead for developing biomarkers and treatments for the disease.
Researchers have developed an integrated optical sensor capable of detecting dopamine directly from unprocessed blood samples. This breakthrough enables low-cost and efficient screening tools for various neurological conditions and cancers.
A novel synthetic biology platform enables rapid and cost-effective transformation of protein binders into high-contrast nanosensors for various applications. The platform uses fluorogenic amino acids to increase fluorescence up to 100-fold, enabling the detection of specific proteins, peptides, and small molecules.
Researchers have identified a unique biomarker in human blood serum that shows potential for early diagnosis of Alzheimer's disease. The study's findings suggest that this test could be used to diagnose AD before cognitive decline or symptoms become apparent, enabling earlier lifestyle changes and medication to slow disease progression.
Researchers created a mouse model to study relative energy deficiency in sport (REDs), revealing the syndrome impacts the entire body and affects males and females differently. REDs leads to hormonal and reproductive issues, insomnia and fatigue, bone weakness and injury, and anxiety and depression.
The wearable device monitors vital chemical levels in fingertip sweat, fueling its own energy and powering a suite of sensors. It can track glucose, vitamins, lactate, and levodopa levels without requiring physical activity or stimuli, offering a reliable health monitoring solution.
A blood test that measures three modifiable factors together can better predict cardiovascular risk than any marker used alone. The study found that inflammation is at least as important as cholesterol in predicting cardiovascular events.
A new editorial in Oncoscience explores the application of functional information to adapt radiation therapy to individual patients. This approach aims to reduce uncertainty and improve outcomes in cancer treatment by analyzing signal data uncertainty.
Researchers have developed a cost-effective and easily reproducible point-of-care testing device that can accurately measure cortisol levels in the blood. The device uses iridium oxide nanoparticles to improve stability, sensitivity, and selectivity, allowing for commercial use.
A multi-university research team led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can accurately spot genetic markers of autism in brain images. The system uses generative computer modeling technique called transport-based morphometry, which reveals brain structure patterns that predict v...
Researchers have made progress in understanding how genetics and lifestyle factors influence dementia risk through epigenetics. DNA methylation signatures in blood can mirror protein biomarker levels in spinal fluid samples, used for diagnosing dementia.
A new study published in Scientific Reports confirms a linear relationship between blood glucose levels and voice fundamental frequency, suggesting potential for voice-based glucose monitoring. Researchers at Klick Labs used vocal biomarkers and AI to detect Type 2 diabetes with high accuracy.
A novel, automated device has been developed to diagnose glioblastoma in under an hour using a biochip that detects biomarkers. The device requires only 100 microliters of blood and costs less than $2 to manufacture.
Researchers explore fecal calprotectin and C-reactive protein as biomarkers for inflammatory bowel diseases (IBD), with multi-target tools showing promising results. These biomarkers hold potential for improving diagnostic accuracy and monitoring disease activity, leading to more effective IBD management.
Researchers found associations between cardiorespiratory fitness and DNA methylation-based aging clocks in older men, suggesting that active lifestyles may delay biological aging. The study aims to establish fitness reference values to help prevent the onset of diseases associated with aging.
Researchers explore the effect of exercise on age-related biomarkers in human skeletal muscle, revealing its potential to foster healthier aging. The study represents the first quantitative and qualitative analysis of this impact, highlighting the benefits of exercise for age-related diseases.
Researchers at Weill Cornell Medicine have discovered a connection between DNA markers and the aging process. The study found that specific retroelements in the human genome can act as epigenetic clocks predicting chronological age and may be involved in aging.
Scientists created a wearable sensor that can monitor cholesterol and lactate levels on dry skin, enabling early disease detection. The sensor overcomes existing challenges of traditional methods, promising new opportunities for remote patient monitoring and population-wide health screening.
A new study suggests a mouthwash-based test can help physicians predict disease recurrence in head and neck cancer patients by detecting biomarkers in saliva. Elevated levels of CD44 and total protein were associated with increased recurrence risk, highlighting the potential for early detection and reducing morbidity and mortality.
Researchers found that HIV-infected individuals with impaired immune recovery (INRs) have significantly higher expression of IFI27 and IFI6 in their peripheral blood compared to those who recovered well (IRs). A predictive model using these genes, along with age and CD4+ T/CD8+ T ratio, accurately identified INRs. These findings sugges...
Researchers have identified lower levels of certain amino acids in the blood plasma of patients with unexplainable chronic itch, offering a potential breakthrough in treating this debilitating condition. These findings may pave the way for new targeted therapies.
Researchers have developed a suite of parameters that can be used to quantitatively measure different physical characteristics of the lung. The parameters were found to be highly sensitive and specific for diagnosing fibrosis and edema in an animal model, using only five necessary parameters.
A new index uses inflammatory cell proportions to predict tissue healing and outcomes in patients with ulcerative colitis. The index, called the inflammatory cell enumeration index (ICEI), was developed by analyzing data from 220 patients who achieved healing.
A new $3.5 million NIH grant will investigate the complex interplay between traumatic brain injury and genetic risk factors in the development of Alzheimer's disease. The three-year study will use rodents to assess disease progression across different age periods, providing insights into potential early intervention strategies.
Researchers discuss how PROM2 is a predictive biomarker of distant metastases and shorter survival among patients with stage III melanomas. They also demonstrate that runaway metastasis is closely linked to PROM2 overexpression, through increased epithelial-to-mesenchymal transition marker expression and ferroptosis resistance.
Researchers discovered elevated levels of neurofilament light chain protein in Parkinson's disease and dementia with Lewy bodies, suggesting potential early detection methods. The study found different protein patterns between the prodromal stage and established diseases.
Researchers at MedUni Vienna have identified AF1Q as a promising biomarker to predict gastric cancer recurrence risk. The study found that 97.8% of tumour samples had elevated AF1Q levels, associated with higher recurrence risk and lower survival chances.
A head-to-head comparison of six commercial blood tests found that some are accurate enough to replace spinal taps and brain scans in patients with cognitive impairment. The analysis, led by Suzanne Schindler at Washington University School of Medicine, identified reliable tests for diagnosing Alzheimer's disease.
A recent study published in Frontiers in Immunology highlights the crucial role of tissue-resident memory T cells in non-small cell lung cancer. The research found that these cells can significantly impact patient outcomes and guide personalized treatment strategies, particularly those involving immunotherapy.
Tumors with mutations in ERCC2, ATM, or RB1 genes were more likely to be eliminated by cisplatin-based chemotherapy. The study found a correlation between these gene mutations and complete pathologic response to neoadjuvant chemotherapy.
Researchers studied Alzheimer disease blood biomarkers and found a strong association with incident all-cause dementia risk. Biomarker levels increased with age and were linked to dementia starting in midlife.
Researchers found that combining plasma p-tau217 and Aβ42/40 levels could predict early brain Aβ accumulation in people with subthreshold Aβ accumulation. These biomarkers may help screen participants for primary prevention trials.
Researchers found high diagnostic accuracy for identifying Alzheimer's disease using amyloid probability score 2 blood test and p-tau217 levels. The study suggests blood tests could influence clinical care, warranting further evaluation.
Researchers found correlations between MIF and DDT levels with patient survival outcomes in melanoma patients. Higher CD74:MIF and CD74:DDT levels were associated with improved survival and enrichment of inflammatory markers.
Researchers identified tissue-resident CD8 T cells and γδ T cells as key drivers of immunotherapy response in Merkel cell carcinoma patients. Patients with tumors containing these immune cells are more likely to respond to treatment, suggesting potential for enhanced outcomes.
Researchers found a blood test to detect alpha-synuclein protein shows promise for diagnosing Parkinson's disease. The study, published in the Journal of Parkinson's Disease, confirmed that the biomarker is highly sensitive and changes over the course of the disease.
Scientists have successfully collected and profiled lung biomarkers from human breath, developing animal models to identify key markers for early detection of metastatic lung tumors. The research establishes a scientific roadmap for an exhaled-breath test, which may revolutionize the diagnosis and surveillance of human lung diseases.
A distinct TNF-α signaling program has been identified as a key driver of epithelial cancer development, contributing to cell proliferation and invasion. The researchers found that this program is active in both normal tissues and tumors, but its level of activity correlates with tumor aggressiveness.
Mayo Clinic scientists have established criteria for a memory-loss syndrome in older adults that specifically impacts the brain's limbic system. The syndrome, called Limbic-predominant Amnestic Neurodegenerative Syndrome (LANS), progresses more slowly and has a better prognosis than Alzheimer's disease.
Researchers from Jilin University provide a comprehensive overview of brain injury biomarkers, including neuron-specific enolase, ubiquitin C-terminal hydrolase-L1, and neurofilament proteins. These biomarkers can help identify brain injuries and predict disease progression.
A Mediterranean diet-based intervention has been shown to optimize cardiometabolic biomarkers in children and adolescents. The study found that this dietary approach can help improve cardiovascular health in young people, potentially reducing the risk of chronic diseases later in life.
Dr. Rissman's research uses plasma Aβ42/Aβ40 ratio to predict brain amyloid PET positivity and identify individuals at risk for Alzheimer's disease. His findings demonstrate the potential of a blood test to screen for amyloid in preclinical AD trials.
A new study has identified specific RNAs that may help identify stage II colon cancer patients who are likely to benefit from chemotherapy following surgery. The researchers found that certain housekeeping RNAs were up-regulated in patients with recurrence, suggesting their potential role in the metastatic process.
The NTU team created a compact and flexible light-based sensing device, like a plaster, to provide highly accurate biomarker readings within minutes. The device detects glucose, lactate, and urea levels in sweat with ultra-high sensitivity and dynamic range.