Research on measurable signals of health and disease. Covers ultrasound imaging pipelines, fetal-distress detection, cancer monitoring, and fatigue biology.
A $2.4 million grant will fund the development of an optical imaging technology to image nerve endings in cancer patients with chemotherapy-induced peripheral neuropathy. The goal is to identify potential biomarkers for the disease, enabling early detection and prevention.
A new framework for assessing traumatic brain injuries (TBI) will provide more accurate diagnoses and treatments, leading to better patient outcomes. The framework incorporates clinical symptoms, biomarkers, imaging scans, and modifiers to determine the severity of injury and predict recovery.
Researchers identified metabolite patterns in blood and urine related to ultra-processed food intake. A poly-metabolite score was developed, showing potential to objectively measure diet and reduce reliance on self-reported data.
Researchers have developed a 3D micro-printed sensor that uses whispering-gallery-mode microlasers to detect biomarkers with attogram per milliliter sensitivity. The sensors' unique Limacon-shaped design improves efficiency and enables on-chip integration, making them suitable for high-performance lab-on-a-chip devices.
Researchers from USC Keck School of Medicine have developed a low-cost blood test that detects five biomarkers of Alzheimer's disease, including amyloid and tau proteins. The test uses xMAP technology and has the potential to catch the disease in its earliest stages, when treatment might be able to prevent or delay cognitive decline.
Researchers identified changes in stromal tissue associated with increased aggressive breast cancer risk and poorer survival rates among women with benign breast disease. The study used machine learning to detect subtle changes in breast tissue samples from over 9,000 women.
Researchers identify enlarged salience network as first reliable biomarker for depression risk, predicting symptoms before they appear. The network's expansion could enable early identification and intervention, leading to improved quality of life and treatment outcomes.
Researchers identified platelets, C-reactive protein, and chromogranin A as markers that can predict the failure of hormone-sensitive prostate cancer treatment. The study also found that miR-375 expression and lymphocyte-to-monocyte ratio are negative predictors for therapy failure in castration-resistant prostate cancer patients.
Serum Krebs von den Lungen-6 (KL-6) levels are significantly elevated in patients with interstitial lung disease (ILD), suggesting its potential as a diagnostic biomarker. The study also highlights the relationship between KL-6 levels and pulmonary function, specifically forced vital capacity.
This study reveals periostin as a superior serum biomarker for diagnosing idiopathic pulmonary fibrosis, with high sensitivity and specificity compared to traditional markers. Periostin levels also correlate with disease severity and predict acute exacerbations in IPF patients.
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.
The American Federation for Aging Research (AFAR) presents the Vincent Cristofalo Rising Star Award to Daniel W. Belsky, PhD, for his contributions to aging research and development of biomarkers in aging. He will present a lecture on quantification of biological aging at the 53rd Annual AGE Meeting.
Researchers from Université Laval discovered a non-invasive retinal exam can detect Parkinson's disease biomarkers, offering early diagnosis and potential intervention. The study found distinct retinal responses to light stimuli in people with Parkinson's compared to healthy individuals.
The National Multiple Sclerosis Society has committed $18.1 million to support research projects aligned with its Pathways to Cures roadmap, which aims to stop MS, restore function, and end the disease. The funding includes 16 research grants and 28 training fellowships in the US and internationally.
Scientists at Henry Ford Health + Michigan State University Health Sciences have identified a circulating microRNA called miR-126-3p as a mechanistic biomarker of knee osteoarthritis. This discovery may lead to the development of blood tests for early detection and therapeutics for slowing or stopping disease progression.
Research at the University of Bristol has linked mental health conditions like depression and schizophrenia to immune response, suggesting a fundamental change in understanding causal mechanisms. The study identified 29 potential biomarkers that could be used for novel therapeutics in mental health conditions.
A study published in Neurology found that people with higher biological age than their chronological age are more likely to develop dementia. The researchers discovered an association between advanced biological age and changes in brain structures, including loss of gray matter volume.
A study published in Science Translational Medicine found novel biomarkers for tinnitus that correlate with nervous system's 'fight, flight, or freeze' response. Facial movements and pupil dilation measured while listening to unpleasant sounds can predict tinnitus severity.
Researchers at Karolinska Institutet have identified biomarkers in the blood associated with long COVID symptoms, particularly severe respiratory disorders. The study found that these biomarkers are also linked to inflammatory signal pathways involved in cell death and lung damage.
A novel approach to analyzing human blood plasma's low-abundant N-glycoproteome has been developed, enabling the reliable identification of rare and modified glycans. This workflow can detect glycoproteins with concentrations as low as 6.31 pg·mL−1, expanding the range by five orders of magnitude.
Researchers at TUM developed an AI-powered algorithm to predict kidney damage in prostate cancer patients undergoing lutetium-177 PSMA therapy. Early detection could enable personalized treatment adjustments to prevent organ damage.
Researchers at University of Turku discovered a new biomarker that correlates the thickness of inflammatory cell rim surrounding brain lesions with disease severity and speed. The wider the rim, the more aggressively the disease advances, allowing for earlier treatment identification and evaluating drug candidates.
Researchers developed promising α-synuclein PET tracers that can visualize protein aggregates in living patients, enabling earlier diagnosis and treatment monitoring. Tracers like [18F]C05-05 and [18F]ACI-12589 showed significant results in distinguishing synucleinopathies from healthy controls.
Researchers at Karolinska Institutet have identified new biomarkers in urine that can indicate the presence and severity of prostate cancer with high precision. The findings surpass current blood biomarker PSA in terms of diagnostic accuracy.
New molecular testing methods are transforming post-transplant care by detecting potential heart injury or rejection earlier than traditional biopsies. This enables physicians to reduce immunosuppressive medicine dosage in low-risk patients, potentially improving patient outcomes beyond the first year post-heart transplant.
Researchers identified five blood proteins that can predict liver disease up to 16 years before symptoms. The combined levels of these proteins achieved high accuracy in predicting disease onset and progression, suggesting potential for early diagnosis and treatment.
A misfolded protein in spinal fluid facilitates reliable Parkinson's diagnosis even in its early stages. The biomarker has a sensitivity and specificity of over 90%, making it a promising tool for disease management and potential therapy development.
The study found that serum-derived hsa_circ_101555 showed excellent diagnostic accuracy in differentiating HCC patients from healthy controls. It also demonstrated a prognostic role in predicting tumor progression and response to therapy, with significant correlations with markers of liver inflammation and tumor features.
Researchers used AI-driven methods to analyze thousands of digital images of melanoma tumor tissue, identifying key immune cell structures that boost immunotherapy effects. The presence of these structures was linked to significantly better overall survival for patients with advanced melanoma.
A new version of Caltech's smart bandage, iCares, has been shown to continually sample fluid from human patients with chronic wounds, providing real-time data on biomarkers present. The bandage can detect molecules such as nitric oxide and hydrogen peroxide, potentially up to three days before symptoms appear.
A team of Singaporean scientists has released a comprehensive long-read RNA sequencing dataset, SG-NEx, to accelerate biomarker discovery and precision medicine. The dataset offers deeper biological insights into RNA complexity, enabling researchers to detect clinically relevant biomarkers and develop better treatments.
A new study reveals promising progress toward predicting how patients with major depressive disorder will respond to antidepressant medications. Brain connectivity patterns were found to significantly improve predictions of treatment response across two large, independent clinical trials.
A study on captive olive baboons found that about a quarter exhibited accelerated aging, while another quarter showed signs of slower aging. The researchers investigated physical indicators such as walking speed and fine motor skills, but found that these changes were more closely related to chronological age than epigenetic age.
A new analysis found that oral hormone therapy can lower levels of lipoprotein(a), a genetic risk factor associated with higher risk of heart attack and stroke. Hormone therapy also improved biomarkers of cardiovascular health, including cholesterol levels.
Liquid biopsy analyzes circulating tumor components in body fluids to detect cancer at early stages, offering a safer and more dynamic alternative to traditional tissue biopsies. This non-invasive approach has shown promise in detecting various types of cancer, including lung, breast, colorectal, prostate, and gastric cancers.
A new study from Columbia University Mailman School of Public Health found significant associations between cognition and established risk factors for Alzheimer's disease in individuals aged 24-44. The researchers used biomarkers related to cognitive impairment and cardiovascular health to predict long-term trajectories of cognitive de...
Researchers developed a blood test analyzing messenger RNA to detect cancers, track treatment resistance, and monitor tissue injury. The test increased cancer detection by over a factor of 50 and provides useful information for non-cancer applications, such as COVID-19 severity and lung health.
Participants who took the supplement showed improvements in grip strength, lower body mobility, and reductions in body weight. The supplement appeared to reduce stem cell turnover, regulate immune function, and influence gene activity related to stress response.
Researchers developed a new method to measure changes in DNA that can help predict a person's age, focusing on how random chemical tags become over time. The study found that methylation entropy predicted age as accurately as traditional methods, with an average error of just five years.
A study has identified an early blood marker for hereditary Alzheimer's disease, beta-synuclein, which can detect neurodegeneration up to 11 years before dementia symptoms. This biomarker could help with early diagnosis and treatment, improving the potential of new medicines for Alzheimer's.
Researchers evaluated different types of Glasgow Outcome Scale Extended (GOSE) scores among US trauma center patients. They found that GOSE-All scores capture the combined effect of brain and extracranial injuries, while GOSE-TBI scores exclude extracranial injury effects.
A pioneering study has identified interleukin-6 (IL-6) as a powerful diagnostic biomarker for the early detection of sepsis in high-risk patient groups. IL-6 outperformed traditional biomarkers in distinguishing bacterial from non-bacterial infections and stratifying sepsis severity.
Dr Ambrish Mithal, an Indian endocrinologist, has been awarded the prestigious IOF CSA Medal of Achievement for his groundbreaking work in advancing the field of osteoporosis. His pioneering efforts have significantly increased understanding and awareness of osteoporosis globally.
Researchers found that cortisol levels were lower in survivors, while heart rate and blood pressure responses were altered. Interleukin 1B was significantly higher, suggesting potential long-term health problems despite healthy symptoms.
Researchers at The University of Texas at San Antonio are working on a new AI tool to improve lives after brain injury. They plan to analyze data from 3,000 veterans and develop an interactive dashboard for clinicians to use, providing insights that could revolutionize treatment.
Researchers have validated a blood test for early detection of Alzheimer's disease, achieving over 90% accuracy in hospital patients. The test uses a biomarker called phospho-tau217 and has the potential to reduce costs associated with current diagnostic tests, improving access to care and treatment.
A new analytical method has been developed to measure plasma P-tau217, a blood-based marker that can change several years before Alzheimer's symptoms appear. The fully automated method demonstrated high accuracy of over 90% in various settings, including primary care and specialized memory clinics.
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 recent study published in the Journal of Ageing and Physical Activity found that older adults exhibit similar or even less muscle damage than young adults after exercise. Muscle soreness was consistently lower in older adults, with reductions of around 34% at 48 hours and 62% at 72 hours compared to younger individuals.
A new study published in Nature Medicine has investigated the potential of specific biomarkers to predict dementia risk up to ten years before diagnosis. The study found that low levels of certain biomarkers may rule out future dementia, but elevated levels alone are not reliable for identification.
Cognitive neuroscientists are using VR to develop innovative ways to assess cognitive decline, particularly in identifying age-related differences in spatial memory navigation. The study found significant impacts on memory performance due to the build-up of Alzheimer's proteins in the brain.
A study published in GeroScience found that weight training improves memory and brain anatomy in older adults with mild cognitive impairment. The results showed that strength training protected against atrophy in key brain areas associated with Alzheimer's disease.
The UK's first water monitoring center is launched to detect disease outbreaks and community health issues. Researchers will analyze wastewater samples from four urban areas, tracking chemicals and biological markers to identify early warning signs of infectious diseases and chronic health conditions.
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.
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 new consensus paper emphasizes the role of bone turnover markers (BTMs) in diagnosing and managing osteoporosis. BTMs, such as procollagen type I N propeptide (PINP) and β-isomerized C-terminal telopeptide of type I collagen (β-CTX-I), are invaluable tools for predicting fracture risk and monitoring treatment adherence.
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.
A novel PET imaging approach has effectively quantified the COX-2 enzyme in human brains, opening doors for its use in clinical settings for various brain disorders. This breakthrough could lead to earlier disease detection and monitor disease progression with anti-inflammatory treatments.
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.
A team of scientists has created a new method to selectively modify specific proteins in complex biological environments. They achieved this using aptamers and deoxyoxanosine, allowing precise conjugation of desired sites on target proteins. This breakthrough technology has the potential to revolutionize cancer diagnosis and treatment.