Research on measurable signals of health and disease. Covers ultrasound imaging pipelines, fetal-distress detection, cancer monitoring, and fatigue biology.
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.
Researchers at UCLA Health Jonsson Comprehensive Cancer Center have received a $1.8 million grant to advance personalized cancer therapy for prostate cancer patients. They aim to predict and prevent long-term side effects from radiation treatment, improving quality of life for men diagnosed with the disease.
Researchers have discovered a new diagnostic method for PSP by analyzing protein biomarkers in spinal fluid, which could lead to earlier diagnosis and targeted therapies. The high-throughput technology allows for the measurement of thousands of proteins in a tiny drop of fluid, providing a promising solution for identifying the condition.
Researchers found that lower adiponectin levels and higher leptin concentrations in parents during pregnancy may predict offspring mental health disorders. These biomarkers could enable early interventions for children at risk.
Researchers at the University of Gothenburg developed an AI model called Candycrunch to automate the analysis of glycan structures in cancer cells. The model can identify abnormal structures and biomarkers in just a few seconds, accelerating the discovery of new treatments.
Researchers from University of Helsinki and Stanford University developed more precise methods for transcranial magnetic stimulation (TMS) targeting the brain's electrical responses. The new methods aim to improve treatment outcomes for patients with depression who do not respond to medication or antidepressants.
Researchers analyzed blood plasma samples from 110 patients infected with Plasmodium vivax to understand how metabolisms were affected during initial episodes versus recurrent cases. The study found that patients with recurrence exhibited modulation in lipid pathways involved in immune system production, while those with first-episode ...
Xiaohu Xia's research focuses on enhancing diagnostic efficacy of enzyme-linked immunosorbent assay (ELISA) testing using specially tailored nickel-platinum nanoparticles. His goal is to improve disease detection accuracy by more than 300 times, enabling early diagnosis of cancers like prostate and colorectal cancer.
A new, streamlined urine DNA test detects primary bladder cancer more accurately than current methods, potentially reducing the need for invasive cystoscopy. The test shows high sensitivity and specificity, even for detecting high-grade noninvasive papillary carcinoma.
Researchers analyzed three tumor markers for associations with radiographic response and clinical outcomes in NSCLC patients. The study found that CEA, CA-125, and CA-19-9 were associated with progression and radiographic responses in NSCLC.
A wearable health monitor developed by Washington State University researchers can accurately measure levels of important biochemicals in sweat during physical exercise. The device has the potential to track health conditions and diagnose common diseases, including diabetes, gout, kidney disease, and heart disease.
Researchers developed two clinical ageing clocks, PCAge and LinAge, that use blood tests, a urine test, and a health questionnaire to estimate future mortality risk. These clocks show significant predictive efficacy in characterising individual future ageing trajectories.
Researchers found that colder temperature exposure increases oxidative stress in the nasal cavity, leading to worsened asthma symptoms in children. The study used nasal fluid samples and measured malondialdehyde (MDA) levels as a biomarker of oxidative stress.
Researchers have developed a blood test that can detect rare forms of dementia, such as frontotemporal dementia (FTD) and progressive supranuclear palsy (PSP), as well as amyotrophic lateral sclerosis (ALS). The test uses biomarkers, including tau and TDP-43 proteins, to identify underlying pathology.
A team of researchers has developed a simple blood test that uses artificial intelligence (AI) to predict Parkinson's disease up to seven years before the onset of symptoms. The test analyzes a panel of eight blood-based biomarkers with concentrations altered in patients with Parkinson's, providing a diagnosis with 100% accuracy.
A new machine-learning model using serum fusion-gene levels predicts HCC with an accuracy of 83-91%, significantly improving upon current biomarkers like serum alpha-fetal protein. This breakthrough tool may help identify patients at risk and monitor cancer recurrence, leading to improved survival rates.
Researchers found that nasal microbiota of ICU patients with sepsis is significantly lower in community richness and has distinct compositions compared to non-septic patients. Key bacterial genera such as Corynebacterium, Staphylococcus, Acinetobacter, and Pseudomonas were enriched in the nasal microbiota of septic patients.
The study highlights the potential of omics research and AI tools to disentangle the molecular drivers of Alzheimer’s disease. Key findings include the identification of novel biomarkers for early detection and therapeutic targets, as well as the exploration of genetic factors contributing to AD risk and progression.
Researchers discovered that T-cell aging is not limited by organismal age, and healthy T cells can proliferate indefinitely. The epigenetic clock of T cells shows that death is not the end, and these cells do not plateau with age, defying traditional notions of cellular aging.
A cohort study found that severe dust exposure increased the risk of dementia in World Trade Center responders under 65. Using personalized protective equipment may prevent this age of onset, according to the research.
A new biomarker database, Space Omics and Medical Atlas (SOMA), has been developed to improve astronaut health, but its findings may also be useful for people on Earth with limited mobility or bedridden conditions. The database provides insights into short and long-term health impacts of spaceflight.
Researchers developed a Single Data Dictionary to predict outcomes for people with TBI, combining factors like social support, health, and biological markers. The dictionary aims to provide personalized care and rehabilitation, improving quality of life for patients and reducing negative impacts on families and society.
The Association for Molecular Pathology has published guidelines for tumor mutational burden (TMB) testing, aiming to standardize calculation and reporting of TMB as a predictive biomarker for immune checkpoint inhibitor therapies. These recommendations emphasize the importance of comprehensive methodological descriptions in publications.
Researchers developed a novel radiotracer to detect Claudin18.2 in gastrointestinal cancers, allowing for early diagnosis and targeted therapy optimization. The radiotracer enables whole-body PET imaging within one day, increasing compliance and reducing radiation exposure.
A small study compares healthy brains of young and old, finding normal ageing associated with increased blood-brain barrier permeability in Alzheimer's Disease vulnerable areas. This increased permeability may contribute to disease progression.
The discovery of Helicolocellus fills a 160-million-year gap in the sponge fossil record and suggests non-biomineralizing sponges existed in the Precambrian. The study bridges the Ediacaran and Cambrian fossil assemblages, providing insights into animal evolution.
A study of over 10,000 US adults found a strong association between pro-inflammatory diets and elevated NT-proBNP levels, indicating potential increased cardiovascular risk. The research suggests that dietary inflammatory index may be an important factor in heart failure biomarker levels.
Researchers discuss Ibrutinib, a BTK inhibitor approved for chronic lymphocytic leukemia treatment, noting 20-25% of patients experience dose-limiting cardiovascular toxicities. A recent study identifies genetic biomarkers, such as KCNQ1 and GATA4, associated with cardiotoxic events, which may improve risk stratification.
A study from Michigan Medicine reveals a connection between neutrophil activation and severe cytokine release syndrome (CRS), a potentially life-threatening reaction to CAR T-Cell therapy. Researchers identified biomarkers of NETosis, a process in which neutrophils create webs that may contribute to CRS.
Researchers have developed a way to classify host immunity in individuals, enabling the early identification of those who won't respond well to regular vaccines. This allows for tailored vaccine regimes to provide long-lasting immunity, reducing influenza-related illness and healthcare costs.
A team of researchers developed an eye-tracking biomarker model that can differentiate children with autism from those with other neurodevelopmental disabilities. The model achieved high sensitivity and specificity, allowing for more accurate diagnoses.
Researchers at the University of Toronto discovered a new RNA virus, Apocryptovirus odysseus, associated with severe inflammation in humans infected with Toxoplasma gondii. The virus is found in two hypervirulent strains of the parasite, exacerbating toxoplasmosis disease and triggering an immune response.
A recent study found that work-life imbalance significantly predicts higher triglycerides and lower HDL levels in midlife and older adults. This suggests that spillover effects of workplace stress on home life can contribute to physiological changes linked to cardiovascular diseases. The research highlights the importance of organizati...
Researchers from Ben-Gurion University of the Negev have discovered a link between proteomic biomarkers and liver fat percentage, which may improve patient monitoring and therapy targeting for NAFLD. The study, conducted over 18 months, found that specific protein changes were independently associated with liver fat relative change.
A groundbreaking study has uncovered a significant breakthrough in the diagnosis and monitoring of kidney diseases associated with nephrotic syndrome. Researchers identified anti-nephrin autoantibodies as a reliable biomarker for tracking disease progression, opening new avenues for personalized treatment approaches.
Research finds insulin levels correlate with triglycerides, ApoB, non-HDL cholesterol, and free cholesterol in women with atherosclerotic coronary disease. The study suggests these laboratory-associated flags indicate early coronary atherosclerosis in both diabetic and non-diabetic women.
Researchers have identified collagen features as valuable biomarkers for evaluating melanoma immunotherapy response. Single-fiber characteristics were found to be more sensitive to treatment-induced changes than bulk collagen features, offering insights into collagen remodeling over time.
Researchers developed a game-changing blood test that can quickly and accurately identify large vessel occlusion strokes, which have the potential to bring life-saving care to patients globally. The test combines biomarkers with a clinical score to detect strokes with 93% specificity and 81% sensitivity.
The IV-Lab project aims to develop a miniaturized, implantable multi-sensors device to monitor blood vessel health. The device will integrate multiple sensors measuring blood pressure, vessel deformation, and cardiovascular biomarkers, enabling timely and personalized treatment for patients with cardiovascular diseases.
A new biomarker, miR-519a-3p, has been discovered to detect Alzheimer's disease in its asymptomatic stages. The molecule is linked to the expression of cellular prion protein, which is deregulated in people with neurodegenerative diseases.
Researchers found elevated expression of RPGRIP1L in invasive breast cancer specimens, correlating with shorter survival times and unfavorable clinicopathological features. The study identified 50 genes and 15 proteins related to RPGRIP1L expression, including those involved in immune response and metabolism.
Researchers found cyclin D1 expression in patients with penile cancer (PC) is associated with clinical and histopathological features. Patients with cyclin D1 expression had lower disease-free survival compared to the cyclin D1-negative group.
A new PET imaging biomarker, Gal-1, has been identified to predict the tumor responses before starting immune checkpoint blockade therapy. This enables targeted interventions and improves patient outcomes by facilitating patient stratification and optimizing immunotherapy.
Cardiovascular biomarkers strongly associated with cardiovascular events and mortality. Adding biomarkers to established risk factors improved heart failure and mortality prediction, but only slightly enhanced atherosclerotic disease risk prediction.
Researchers have developed a method to use intense ultrasound to extract genetic information from cells, allowing for the detection of cancer biomarkers in blood samples. This approach could enable earlier detection and treatment of cancer, as well as reduce the need for painful biopsies.
Researchers developed a synthetic biomarker technology that can differentiate between prior Zika and dengue virus infections. The technology, using epitope surrogates, correctly identified people previously infected with Zika virus 85.3% of the time.
Researchers have developed a new method to detect malignant melanoma using a microneedle patch that measures tyrosinase enzyme levels in the skin. This non-invasive technique has the potential to provide faster and more reliable results compared to traditional biopsies.
Researchers discuss therapeutic opportunities for hypermutated urothelial carcinomas that are resistant to immunotherapy, including the potential of targeted therapies. High TMB is associated with defects in mismatch repair proteins and can lead to increased sensitivity to cancer treatments.
Australian researchers have identified biomarkers that can predict which children are likely to outgrow their peanut allergy. The study found that two-thirds of children with a peanut allergy remain allergic by age 10, but most who naturally outgrew their allergy did so by age six.
Researchers found associations between inflammatory and metabolic biomarkers and accelerated aging, with GlycA and GrimAge showing robust correlations. The study provides insight into the relationship between aging and cardiometabolic health, potentially informing vulnerable populations.
A massive study identifies new biomarkers for renal cell carcinoma subtypes, improving diagnosis and treatment. The researchers' integrative analysis of proteogenomic datasets reveals molecular features shared by clear cell and non-clear cell RCC tumors, as well as unique features to various subtypes.
A new screening algorithm combining maternal history, ultrasound data and several tests for blood markers may predict most preeclampsia cases in the first trimester of pregnancy. The study found that personalized risk-based treatment decisions may improve adherence to preventative measures.
Researchers created a corticolimbic index tool that categorizes Alzheimer's disease into three subtypes based on brain changes. The study found demographic and clinical differences among sex, age at onset, and rate of cognitive decline.
A new study found extensive alternative splicing of messenger RNA in untreated multiple sclerosis patients compared to healthy controls. Interferon-ß therapy corrected dysregulated alternative splicing, linking it to future clinical exacerbations.
Researchers analyzed flour and rice stored in Brazilian homes and found six mycotoxins, including aflatoxin B1 and deoxynivalenol, at high levels, posing significant health risks. The study highlights the importance of proper food storage to prevent contamination.
Researchers at UCLA Health have developed a potential biomarker for stroke risk using a network of inflammatory molecules in the blood. The study, published in the journal Stroke, found that patients with higher concentrations of these molecules had an 84% chance of experiencing a stroke during their lifetime.
A new study suggests that proteins detectable in the blood could improve predictions about risk of liver cancer, potentially leading to earlier therapeutic interventions. The researchers used proteomics to develop a prediction model and identified 56 plasma proteins associated with liver cancer.
A recent study led by UC Davis Health researchers provides new insights into the molecular changes linked to 22q11.2 deletion syndrome, a rare genetic condition that can lead to psychosis, ADHD, and other conditions. The study identified two biomarkers, taurine and arachidonic acid, which could predict likelihood of psychosis in patien...
This study analyzed differentially expressed genes from three datasets to identify hub genes associated with gastric adenocarcinoma. The analysis revealed that genes such as ERBB4 and MAPT were linked to GC progression and had poor overall survival, suggesting potential therapeutic targets.
Researchers at the University of Leipzig Medical Center have identified biomarkers associated with the response to CAR T cell therapy in multiple myeloma. These biomarkers enable patients to predict their likelihood of responding well or less well to treatment before initiating therapy.