Research on measurable signals of health and disease. Covers ultrasound imaging pipelines, fetal-distress detection, cancer monitoring, and fatigue biology.
Researchers found that patients with elevated NfL levels had a 91% higher risk of worsening disability with relapse within a year, and a 49% higher risk without relapse nearly two years later. The study suggests that interventions may prevent worsening symptoms by targeting nerve cell death.
A new blood test has been developed to detect common deadly cancers, such as ovarian and gastroesophageal cancers, earlier with ultra-sensitive technology. The test can pick up the presence of a protein produced by cancer cells in a tiny amount of blood in less than two hours.
Researchers found an epigenetic signature in cheek cells of obese twins that differs from their thinner siblings, suggesting a susceptibility to obesity may be written into molecular processes. The discovery could lead to a simple cheek swab test for an obesity biomarker and enable earlier prevention methods.
Researchers deciphered when genes responsible for producing 2-methylhopanes were acquired by certain groups of organisms. They found that these genes were likely present in the last common ancestor of Cyanobacteria over two billion years ago.
Researchers have discovered a novel biomarker that enables the evaluation of near-infrared photoimmunotherapy (NIR-PIT) treatment success. The biomarker uses microbubbles to track tumor vessels and measure the effectiveness of NIR-PIT, which combines antibodies and near-infrared light to destroy cancer cells.
A recent study by the University of Gothenburg found no correlation between post-COVID condition and ongoing viral infection or active brain damage. The study analyzed 25 participants with confirmed post-COVID condition, six without residual symptoms, and 17 control subjects, revealing undetectable SARS-CoV-2 antigens in all samples.
Researchers developed a new way to diagnose bipolar disorder using a simple blood test that can identify up to 30% of patients. The test, combined with digital mental health assessments, can differentiate between major depressive disorder and bipolar disorder.
Brazilian researchers found that Zika-infected mice with microcephaly have lower Ndel1 enzyme activity, which plays a key role in neuron differentiation and migration. The study suggests that Ndel1 may be a biomarker for early diagnosis of microcephaly and offers hope for treatment options.
Researchers identify cytotoxic CD4+ tissue-resident memory T cells as potential asthma triggers, particularly in older male patients. These cells can cause severe inflammatory responses and make treatment challenging.
A new study by Klick Labs reveals that AI technology can screen for Type 2 diabetes using six to 10 seconds of a person's voice, with high accuracy rates. The research used acoustic features to analyze recordings from over 18,000 participants and identified significant vocal variations between individuals with and without the condition.
A new blood test has been developed to measure the levels of critical omega-3 fatty acids in the bloodstream, providing a convenient way to assess cardiovascular and cognitive health. The Omega-3 Index (O3I) is derived from two key fatty acids, EPA and DHA, which can be obtained only from certain dietary sources.
Researchers developed a wearable device to track bipolar disorder patients' skin electrical activity, detecting manic and depressed phases. The study aims to improve diagnosis and treatment with personalized, rapid interventions.
A new study has identified two main pathways involved in Alzheimer's disease, with one acting through amyloid and tau proteins and the other based on immune system reactions. The research also found that certain genes have opposite effects in men and women, suggesting a need for further investigation.
A recent study by UTHealth Houston found that the offspring of adolescent and young adult women with a history of cancer face a higher risk of birth defects. The study examined 6,882 offspring ages 12 months and younger and found an increased risk of specific types of defects in the offspring of women with a history of cancer.
Researchers developed a low-cost, ultrasensitive blood test to detect a highly specific biomarker for multiple common cancers. The test showed promise for early cancer detection and disease monitoring, detecting levels of the biomarker in the blood of patients with many types of cancers.
Post-Acute Sequelae of COVID-19 research aims to track long-term health symptoms in survivors. A $3.7 million grant will support the development of self-supervised deep learning technologies to recognize post-COVID lung progression phenotypes.
A recent human study found that grape consumption improved key markers of eye health in older adults, including increased Macular Pigment Optical Density (MPOD) and reduced AGEs. Regular grape intake was also shown to increase plasma antioxidant capacity and total phenolic content.
Researchers developed a novel approach to predict therapeutic targets for aging and age-related diseases. They trained a domain-specific BioGPT model on biomedical literature, which improved its performance in identifying prospective targets.
Researchers identified a circulating tumor DNA (ctDNA) biomarker that can predict disease recurrence and response to treatment in patients with BRAF-negative melanoma. The study found that measuring ctDNA levels and variants can help tailor therapy and improve patient outcomes.
A VHIO-led study has identified DPPA3 as a regulator of dormant cancer cells and chemoresistance in colorectal cancer. High levels of DPPA3 are found to predict disease relapse, while HIF1 is proposed as a potential therapeutic target to sensitize CRC cells to chemotherapy.
A significant breakthrough sheds light on Parkinson's disease mechanisms, revealing that mitochondrial DNA damage triggers the spread of debilitating symptoms. The researchers' findings offer promising potential for innovative treatments and diagnostics.
Researchers identified specific blood biomarkers that can accurately identify patients with long COVID, revealing distinct immune and hormone function differences. The study also found abnormal T cell activity, reactivation of latent viruses, and reduced cortisol levels in patients with long COVID.
Dr. Wang's research aims to extract effective disease biomarkers from large-scale brain imaging studies using advanced statistical learning approaches and scalable computing tools. The goal is to improve diagnosis, prognosis, and treatment accuracy for Alzheimer's Disease and related dementias.
Researchers at the University of Alabama at Birmingham found that BNP levels are high in end-stage heart failure patients with cardiogenic shock, but no longer a reliable predictor of clinical outcomes after ventricular assist device (VAD) implantation. This study suggests reevaluating routine use of BNP testing for these patients.
A study published in eBioMedicine identified 9 sets of biomarkers, both metagenomic and transcriptomic, associated with 30-day mortality in patients with severe community-acquired pneumonia. The biomarkers were validated with an accuracy of 85%, significantly higher than existing clinical prediction models.
A team of researchers has identified a unique pattern in brain activity that reflects the recovery process in patients with treatment-resistant depression. After six months of deep-brain stimulation therapy, 90% of patients exhibited significant improvement in their symptoms and 70% no longer met the criteria for depression.
Scientists have identified a DNA methylation pattern that can accurately diagnose pancreatic cancer, distinguishing it from chronic pancreatitis. The marker, which involves six specific methylation positions in the PRKCB gene, has been validated on tissue and blood samples, offering hope for improved diagnosis and treatment.
A recent study published in the American Journal of Kidney Diseases found that lower uromodulin levels are associated with a higher risk of developing end-stage kidney disease. Participants who experienced steeper declines in uromodulin also showed an increased risk of kidney failure.
Researchers at Ann & Robert H. Lurie Children's Hospital of Chicago found a genetic biomarker that correlates with increased prevalence of anaphylaxis or severe reaction to food in patients with food allergies. The presence of α-tryptase, encoded by the TPSAB1 gene, is associated with more severe symptoms.
Researchers have identified a pattern of brain activity, or biomarker, related to clinical signs of recovery from treatment-resistant depression. The study found that 90% of patients showed significant improvement in depression symptoms after six months of DBS therapy.
A new study uses AI to predict mortality rates in patients with hip fractures, identifying key biomarkers for poor outcomes. The model achieved accurate predictions using basic blood and lab test data as well as demographic information.
A new study introduces the concept of a 'noise barometer,' measuring biological age based on epigenetic changes. The researchers found that specific cytosines show increased variability with age, indicating a biomarker for aging and disease. This approach provides a novel perspective on aging research.
A study at the Technical University of Munich found that people with long Covid experience altered blood vessels in the eye, which could be used to diagnose the condition. Persistent inflammatory responses were also linked to symptom severity and chronic inflammation.
Researchers at Lund University discovered a blood biomarker called DOPA decarboxylase (DCC) that can identify Parkinsonian diseases by measuring elevated levels in the blood, regardless of disease progression
A study at the University of Tsukuba has found that changes in brainwave activity can objectively measure depression, enabling early detection and treatment. The research used electroencephalogram (EEG) tests to track brain wave patterns over a two-to-four week period.
Researchers created a machine-learning algorithm using the largest data set of digital biomarkers for hot flashes. The predictive system delivers cooling to mitigate or fully alleviate hot flashes using Embr Wave's wearable device.
A study of nearly 20,000 patients found that the color of their phlegm can indicate the degree of inflammation in their lungs and predict future outcomes. Patients with darker green or brown-colored sputum were at a higher risk of exacerbations, hospitalizations, and death.
Researchers have demonstrated the effectiveness of five noninvasive tests for liver disease, which could revolutionize diagnosis and treatment. These tests use disease biomarkers and may enable breakthrough discoveries in developing new treatments for patients with liver disease.
Researchers found that pregnant mice experiencing copy number variation (CNV) showed similarities to aging, with biomarkers and genetic effects appearing during pregnancy and reversing after delivery. This study aims to revolutionize aging treatment by investigating the mechanisms behind post-labor rejuvenation.
Researchers have developed a new tool that measures children's looking behavior to predict expert clinical diagnosis of autism in children between 16-30 months. The tool provides objective measurements of social disability, verbal ability, and non-verbal learning skills.
The EarliPoint device is a first-of-its-kind FDA-authorized tool for early diagnosis of autism spectrum disorder. Early detection can help jumpstart targeted treatment plans, improving outcomes for individuals with autism.
Researchers have created a new method to investigate the sugars coating immune cells, which could lead to the identification of novel disease biomarkers and improved cancer detection. This technique allows for the isolation of distinct cell populations and analysis of glycosylation patterns in healthy versus diseased patients.
Researchers developed a photoelectrochemical technique to precisely tune the lasing wavelength of microdisk lasers with subnanometric accuracy. The new approach facilitates the fabrication of micro- and nano-laser batches with precise emission wavelengths.
Researchers from Helmholtz Munich and TU Dresden develop AI-powered biomarker detection that outperforms previous approaches. The algorithm achieves high sensitivity on resection tissue samples and shows promise as a pre-screening tool for biopsy tissue.
A new blood-based test called p-tau217 has shown great promise in identifying Alzheimer's disease by stratifying patients into low, intermediate, and high-risk groups. The two-step workflow reduces the need for confirmatory testing in uncertain cases.
Researchers at Brigham and Women's Hospital have developed a cohesive framework for evaluating biomarkers of aging, providing a robust classification system for the identification and validation of molecular markers. The framework highlights key criteria for evaluation, including age-sensitivity and generalizability across cell types, ...
A novel study from the University of South Australia identified 84 features that could signal increased cancer risk in a dataset of 459,169 UK Biobank participants. The study found several biomarkers linked to cancer risk, including urinary microalbumin and high levels of cystatin C.
Researchers evaluated biochemical recurrence as a surrogate endpoint for overall survival, but found no reliable correlation. Biochemical recurrences occur early in the disease course and may impact quality of life, but high-level data tracking this is lacking.
Experts from the Aging Biomarker Consortium propose a framework of biomarkers for brain aging, aiming to assess brain health and prevent age-related diseases. The consensus statement identifies key biomarkers reflecting 'real age', brain structure, and function.
Researchers developed a digital biomarker that detects early signs of Alzheimer's disease using EEG headbands, identifying abnormal levels of proteins in sleep patterns. The study found measurable problems with memory reactivation in 205 aging adults, paving the way for affordable devices to monitor brain health.
A large retrospective analysis using AI-powered proteomics data predicts major atherosclerotic cardiovascular disease events. The protein risk score captures additional risk beyond established factors and has the potential to be modified by treatment.
A new study found that a simple blood test can predict the risk of progressive heart and kidney disease in people with Type 2 diabetes. The test measures levels of four biomarkers, which fell after treatment with canagliflozin, a type 2 diabetes medicine.
Researchers developed a minimally invasive microneedle platform capable of detecting protein biomarkers in response to immunotherapy against melanoma. The approach integrates with ultra-sensitive single-molecule detection and shows promise for effective drug screening and patient stratification.
A new study found that high-stress caregivers had higher klotho levels and longer telomeres in specific immune cells, which may provide protection against aging. In contrast, low-stress caregivers showed no significant associations between klotho levels and telomere length.
Researchers developed an AI model that estimates age from chest X-rays and found a correlation between age discrepancy and chronic diseases like hypertension and COPD. The model was validated using data from multiple institutions, showing strong results.
Researchers examine translational studies on peripheral surrogates of tumor burden, including circulating tumor DNA, miRNA, and HPV-specific antibodies, to inform chemotherapy and immunotherapy strategies. These biomarkers show promise as prognostic and predictive markers of response to treatment.
A promising molecular diagnostic tool uses a single biomarker to detect primary bladder cancer in patients with hematuria, showing high sensitivity and accuracy. The noninvasive test offers advantages such as shorter turnaround time and efficient analysis of results.
A growing number of studies highlights the power of dogs in detecting COVID-19 and its variants, even when obscured by other viruses. Trained scent dogs are as effective and often more effective than antigen tests and RT-PCR tests, detecting the virus faster and without environmental impact.
Researchers at La Jolla Institute for Immunology and Augusta University have identified a link between
A study of 1,300 patients has identified a specific antibody, MOG-IgA, which may differentiate another MS-like illness from others. This discovery could lead to better understanding of the causes and treatment of these autoimmune diseases.