Articles tagged with Biomarkers
This systematic review analyzes 33 biological clocks used for aging and mortality quantification, categorizing them into epigenetic and phenotypic clocks. Epigenetic clocks demonstrate precision in estimating chronological age through DNA methylation, while phenotypic clocks predict mortality using easily measurable clinical variables.
A global team, including Lehigh University researcher Xuanhong Cheng, is exploring molecular- and cellular-level changes in muscle tissue that could lead to better diagnostic tools and therapeutic options for CFS and long COVID. The team aims to develop noninvasive diagnostic tools using electrical signatures.
Researchers use AI to predict COPD flare-ups based on daily urine tests, potentially allowing for proactive treatment and prevention. The study identifies biomarkers in urine that can forecast a flare-up seven days prior to symptoms.
The C-Path initiative aims to generate drug development solutions that reflect each person's unique experience, leveraging diverse data and innovative technologies like AI and digital health. GEM-PD seeks to address unmet need in Parkinson's disease therapies by focusing on sex and gender differences.
New treatment combinations and predictive biomarkers hold promise for improving bladder cancer outcomes. The NIAGARA trial showed that combining immune checkpoint inhibitors with chemotherapy can significantly increase two-year survival rates and reduce cancer recurrences.
Researchers have developed microneedle sensors to analyze dermal interstitial fluid, offering a minimally invasive alternative to traditional blood-based diagnostics. These wearable devices show potential to revolutionize personalized healthcare and daily health monitoring.
The VANCE trial demonstrates that Singapore has the expertise and capabilities to run large-scale global cell therapy trials. The study shows promising results for patients with recurrent or metastatic NPC treated with EBV-CTL therapy, with median survival rates of up to 29.9 months.
Researchers found that HNL Dimer levels decrease rapidly within a day of successful antibiotic treatment, offering a time-saving advantage over traditional biomarkers. This study confirms the previous promising results and provides valuable insights for early diagnosis and treatment of sepsis.
This review provides a comprehensive overview of CTC detection methods, their association with HCC progression, and their role in prognostication and treatment monitoring. Studies show that the number of CTCs correlates with tumor size, grade, and overall cancer severity.
The University of Washington School of Medicine has released a flagship AI-ready dataset for a type 2 diabetes study, featuring a diverse range of participants and novel measures. The dataset includes environmental sensor data, survey responses, eye-imaging scans, and traditional biologic variables.
Researchers have found that combining the VIGex gene expression signature with liquid biopsy analysis improves response prediction to immunotherapy in patients with advanced solid tumors. The study analyzed tumor samples and circulating tumor DNA (ctDNA) by liquid biopsy, showing that the VIGex-Hot subgroup was associated with higher o...
Researchers at Tufts University and Vanderbilt University developed a biomarker to detect inflexible thinking in schizophrenia. The study found that people with schizophrenia generate unique neural patterns when making decisions based on conflicting information.
Research highlights correlation between preeclampsia and COVID-19 in pregnant women, identifying biomarkers for differential diagnosis. The review article emphasizes the pathophysiological similarities between the two conditions, including shared pathways involving the renin-angiotensin system and ACE2.
The MEMELAND project will analyze sediments and soil in lakes across Europe to reveal how medieval farming shaped today's landscapes and biodiversity. The study aims to protect northern Europe's essential biodiversity by understanding the environmental changes that occurred during this period.
A recent revision of Alzheimer Association criteria focuses solely on AD core biomarkers, sparking uncertainty about patient outcomes. The new definition may limit diagnostic flexibility and impact treatment planning.
Researchers have developed a new protocol to exclusively access and quantify proteins carried by extracellular vesicles in the blood. This breakthrough may lead to early diagnosis of Parkinson's disease and other brain disorders, providing treatment opportunities before symptoms appear.
The International Working Group proposes a new approach to diagnosing Alzheimer's disease, focusing on clinical evaluation supported by biomarkers. This distinction is crucial for identifying those who have the disease and those at risk, paving the way for targeted research and personalized treatments.
Researchers synthesizing AI with biomarker analysis aim to detect early signs of aging and enable targeted interventions to delay disease. This approach has the potential to slow, prevent or reverse certain effects of aging.
Researchers analyzed steroids from animal dung in lake sediments to determine the dominant large herbivores that lived in northern Yellowstone National Park. The study found bison and elk as primary species for the last 2,300 years, with impacts on local ecosystems.
Researchers identified three long noncoding RNAs associated with worse outcomes in colorectal cancer patients, potentially serving as prognostic markers. The study's findings could enable doctors to separate high-risk patients from those at low risk of disease recurrence, leading to more effective treatment strategies.
Researchers developed a method to assess which patients with metastatic triple-negative breast cancer can benefit from immunotherapy. The tool uses predictive biomarkers and machine learning-based approaches to identify patients who are likely to respond to treatment.
Researchers propose a comprehensive biomarker-based approach to assess cardiovascular risk by combining markers of chronic inflammation with cardiac health indicators. This approach reveals the significant impact of aging-related inflammation, or 'inflammaging,' on heart health and opens new avenues for targeted interventions.
Researchers have identified a genetic signature that can predict neonatal sepsis in newborns before symptoms appear, allowing for earlier recognition and life-saving treatment. The discovery has the potential to improve healthcare outcomes in lower- and middle-income countries where neonatal sepsis is most prevalent.
Researchers have successfully integrated genome sequencing into newborn screening to identify hundreds of rare genetic disorders. This approach allows for earlier diagnosis and treatment, promoting health equity and reducing time to diagnosis.
A team of researchers, funded by ARPA-H, aims to create an objective quantitative tool to assess pain in patients. They will use biomarkers such as stress hormones and neurotransmitters to generate a composite panel of markers that can be monitored on a portable device.
Researchers developed femtosecond-fieldoscopy, enabling precise measurement of liquid quantities and detecting target molecules in aqueous environments. The technique opens up possibilities for label-free bio-imaging and advanced biomedical applications.
The myeloMATCH program offers a portfolio of biomarker-driven treatment trials to accelerate precision medicine in myeloid malignancies. Patients can enroll in clinical trials throughout their cancer treatment journey, with test results returned quickly to assign them to the most appropriate trial.
Researchers found that physically fitter patients with metastatic lung cancer live longer and respond better to chemotherapy. The study identified biomarkers in blood plasma that can indicate which patients are most likely to respond to treatment.
Researchers have created a new diagnostic tool using machine learning to detect schistosomiasis, a persistent parasitic infection affecting an estimated 250 million people. The tool can identify low levels of the infection and distinguish between active and past infections, leading to earlier treatment and improved long-term outcomes.
Researchers at Johns Hopkins University developed a fast and accurate blood test that can detect the earliest signs of a heart attack in minutes. The stand-alone test provides results in five to seven minutes, making it more accessible for first responders and people at home.
Researchers have developed a handheld, sound-based diagnostic system that can deliver precise blood test results in an hour with minimal finger prick of blood. The system uses functional negative acoustic contrast particles and a custom-built instrument to detect biomarkers in tiny amounts of blood.
A UMass Amherst-led team has developed a sensor to detect sodium ions in breastmilk, a biomarker of elevated mammary permeability and potential milk supply issues. The device provides highly sensitive readings inexpensively and quickly, with results delivered in three minutes and costs just $1 per test.
Researchers validate a new blood test platform that can measure multiple biomarkers of Alzheimer's disease, potentially improving early diagnostics and treatment. The platform captures changes in proteins related to neurodegenerative diseases and may help track disease progression over time.
A new experimental blood test, combining CA199.STRA and CA19-9 biomarkers, improves accurate detection of pancreatic cancer in a lab setting by 27%, according to a recent study published in Cancer Letters. The test's effectiveness in a clinical lab setting is crucial for approval as a potential diagnostic method.
A new non-invasive imaging technique has been shown to accurately detect clear-cell renal cell carcinoma, the most common form of kidney cancer. The technique uses a monoclonal antibody drug that targets the protein CA9, highly expressed in up to 95% of clear cell kidney cancers.
Researchers found that biomarker levels for diagnosing Alzheimer's vary with time of day, with lowest levels in the morning and highest in the evening. The study suggests standardizing sample times to improve diagnostic accuracy and disease tracking.
Researchers at NYU Langone Health will use visible-light OCT technology to detect biomarkers of neurodegenerative disease, including Alzheimer’s and Parkinson’s diseases. The study aims to identify retinal layers and monitor the effects of therapies.
Researchers found high prevalence of frailty in breast cancer and hematopoietic cell transplant survivors, negatively impacting physical functioning and quality of life. The study supports an association between frailty and the senescence marker p16INK4a, highlighting the need for well-designed senolytic trials.
A clinical trial found that mavacamten, a cardiac myosin inhibitor, reduced biomarkers of cardiac wall stress and injury in patients with heart failure. The treatment showed no significant reduction in left ventricular ejection fraction.
A blood test combining AI, cell-free DNA, and protein biomarkers shows high accuracy in detecting ovarian cancer. The test distinguishes between benign growths and cancerous tumors, offering a potential affordable screening method for widespread use.
Research from Trinity College Dublin found that lower sustained attention in adolescence can predict a larger increase in cigarette and cannabis use by age 23. The study suggests using early biomarkers like sustained attention to identify vulnerable adolescents and guide targeted interventions.
Researchers at IGTP have discovered a specific cellular pattern in regulatory B cells to monitor kidney transplant patients. This signature can help identify low-risk patients who may benefit from reduced immunosuppression and those at high risk who require closer monitoring.
A recent study published in The American Journal of Clinical Nutrition found that over 80% of women are iron deficient by the third trimester of pregnancy. Despite being considered a high-resource setting, the study revealed alarming rates of iron deficiency among healthy pregnant women. This finding emphasizes the importance of routin...
A new study published in PLOS Mental Health found a relationship between daily sunlight exposure, physical activity, and depressed state. The research used wrist-based activity sensors to collect data from individuals with depression and those without, revealing that more depressed states were associated with lower daytime activity.
Researchers have developed a new method to detect melanoma using tumour-specific antibodies, which can accurately identify stage I and II melanoma patients. The study found that these antibodies showed high sensitivity and specificity in detecting melanoma, with an AUC value of up to 0.981.
A study from the University of Copenhagen detected lipid biomarkers in obese children that indicate a higher risk of developing type 2 diabetes, liver, and heart disease later in life. A one-year lifestyle intervention lowered these biomarkers, demonstrating the importance of early intervention for children with obesity.
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.