Research on measurable signals of health and disease. Covers ultrasound imaging pipelines, fetal-distress detection, cancer monitoring, and fatigue biology.
The study found substantial international variability in laboratory testing for bone and mineral metabolism, limiting data sharing and clinical impact. The survey highlights the need for greater consistency in BSI testing to improve clinical utility and patient care.
A blood test that compares two molecules in the blood can accurately distinguish between bacterial and viral infections in newborn babies with fever. The test showed a high sensitivity and specificity, and could potentially improve treatment and reduce unnecessary antibiotic use.
Researchers have developed a laser-powered technology that accelerates antibody-antigen interactions to detect tiny amounts of a colorectal cancer biomarker within minutes. This technology has the potential to improve cancer diagnosis by increasing detection sensitivity and speed.
A new study identified dozens of blood proteins that change during treatment with lecanemab, an anti-amyloid drug, which may help monitor treatment effects and predict disease progression. The study found changes in proteins related to inflammation and amyloid clearance, which could inform clinical decision-making and potentially lead ...
A new diagnostic test for Alzheimer's disease is being developed using blood-based diagnostics, which could provide a more accurate prognosis and treatment options. The test, led by Lund University, aims to improve early diagnosis and treatment of the disease.
Researchers found similar diarrhea outcomes among patients with low and normal fecal elastase levels, suggesting stool dilution is a possible cause. Fecal fat testing is recommended before enzyme therapy to confirm exocrine pancreatic insufficiency.
Researchers identified a link between B cell activity and immunotherapy-related colitis, a common side effect of cancer treatments. Higher B cell levels before treatment were associated with increased colitis risk, and depleting B cells reduced colitis severity.
A five-year project led by UC Riverside researcher Erica Heinrich seeks to improve respiratory care for patients with conditions like COPD and those on mechanical ventilation. The study aims to develop a machine-learning algorithm that can predict respiratory comfort more accurately than physicians' estimates.
A new blood test, PANXEON, detects stage 1 and 2 pancreatic cancer with high sensitivity and low false-positive rates, identifying high-grade dysplasia with 64% accuracy. The test could enable early intervention and improve treatment options for patients with inherited risk or family history of pancreatic cancer.
The SUNY Technology Accelerator Fund is providing grants to support research in AI, energy-efficient semiconductors, and non-invasive monitoring. Five campuses will receive funding for projects that could improve cancer diagnostics, circadian rhythm disorders, and burn diagnostics.
A team at the Hôpital ophtalmique Jules-Gonin recorded the retina's spontaneous electrical activity in patients with retinitis pigmentosa, revealing abnormal rhythms. The findings suggest that the retina is not as silent as previously thought and that measuring its activity could help guide sight-restoring therapies. The study's result...
Researchers developed an automated method to convert standard eye scans into an objective cataract biomarker. The method, tested on 1906 eyes, demonstrated exceptional diagnostic discrimination and strong correlation with a standard cataract grading system.
A new review in Science Bulletin outlines how multimodal AI can integrate molecular, cellular, and clinical data to refine treatment choices and predict side effects. The approach aims to address challenges in cancer treatment, including primary resistance and immune-related adverse events.
Researchers found that rituximab treatment increases mitochondrial energy production and reduces cell stress in T cells, leading to improved response rates in patients with nephrotic syndrome. This discovery could help predict patient response to treatment and identify suitable candidates for early remission.
A new platform enables non-invasive tracking of early microvascular disease changes using ultrasound localization microscopy. The U-VBA framework standardizes analysis of tiny blood vessels, capturing structural and hemodynamic properties, and shows high reproducibility and accuracy in classification of cervical lymph-node conditions.
Researchers discovered that cancer cells with RET mutations produce higher levels of the OPG protein, which disrupts bone renewal and blocks destruction, favoring bone accumulation. Measuring OPG levels via blood tests could identify and monitor patients with aggressive disease.
Researchers will develop a molecular diagnostic test that quantifies small RNA species to detect fetal oxygen deprivation during labor. The technology aims to provide clinically relevant values for stratifying the risk of babies during labor.
A new study reveals striking biological similarities between five major illnesses, including long Covid and PTSD, suggesting common underlying mechanisms. Chronic fatigue syndrome, rheumatoid arthritis, and multiple sclerosis may be driven by shared regulatory networks in immune and metabolic systems.
Prostate cancer affects 1 in 8 men, with 60% diagnosed in men 65 and older. Clinical trials like Alliance's help improve early detection and treatment, reducing mortality rates by half since 1993. These trials also explore new treatments and survivorship strategies.
A new study by UTHealth Houston found measurable biological changes in firefighters' blood and urine 24 hours after fighting a fire, which may help identify early cancer risk. The study identified 75 significantly altered proteins in urine and 10 in blood serum, with several linked to cancer-related pathways.
Researchers developed a first-in-class therapy targeting MYC, a protein involved in 70% of cancers, by disrupting its relationship with GSPT1. This approach showed strong anti-cancer activity in multiple types of blood cancers, including treatment-resistant models.
Researchers at the University of Toledo have developed a rapid blood screening method to detect elevated bile acids, an early but overlooked marker of liver disease. The test, which has been patented, can accurately identify individuals with high bile acids and has the potential to save lives by catching liver disease early.
Researchers from Hebei Medical University review current evidence on prolonged disorders of consciousness (pDOC) management. They propose a brain communication network model to explain how brain injury leads to long-term unconsciousness, identifying key brain electrical signaling activity measures for diagnosis and treatment.
The PolyU developed AI Virtual Patient Simulation System combines multimodal data from genomic, medical imaging and clinical records to create a digital twin model tracking real-time changes in a patient's condition. It predicts the effectiveness of different cancer treatment options and supports personalized medical solutions.
Researchers identify AGR2 as a prognostic marker for NF-PanNETs, while FOXM1 is found to promote malignancy and proliferation. AGR2-high cells exhibit malignant features, including increased proliferative activity and metastasis-like signatures.
Researchers from USC-led study found that different epigenetic clocks capture distinct aspects of cellular aging, while introducing new gene-expression based clocks with stronger predictive power. These tools can better predict age-related disease and mortality by examining DNA methylation patterns and gene expression.
Researchers developed an AI model that analyzes routine whole histopathology images to predict cancer subtype, genetic mutations, and survival outcomes across 32 solid cancers. The model achieved a strong predictive accuracy score for TP53 mutation detection and demonstrated the ability to infer RNA expression levels and tumor taxonomy.
Pyrogallol's toxicity in aquatic organisms has been linked to oxidative stress and damage across multiple biological systems. The analysis identifies the need for broader environmental surveillance, long-term ecological studies, and improved exposure assessment to determine its effects on human health.
Researchers developed a method to predict how different types of breast cancer will respond to treatment using lab-grown mini tumors. The organoids mimicked a tumor's response to treatment and identified candidate combination therapies for cancers that don't respond to standard treatment.
Researchers identified two immune cell populations present in both initial and recurrent arthritis flares, suggesting an immune-memory disease. These cells may serve as biomarkers for high-risk patients or to guide targeted therapies to reduce side effects.
Researchers identify a combination of classical and emerging viral biomarkers to predict functional cure in chronic hepatitis B. Multimarker models exhibit superior predictive discrimination compared to single viral markers, enabling more accurate treatment decisions.
Researchers developed a multiprotein approach to predict advanced tau pathology among amyloid-positive individuals, outperforming p-tau217 alone. This study suggests a scalable alternative to tau PET staging for clinical or research settings.
A new study identified a previously underappreciated relationship between SUCLA2 and USP10 that strongly correlates with distant metastasis-free survival in breast cancer patients. The interaction between these two genes changes dramatically depending on whether patients receive treatment, highlighting the importance of considering mol...
A new study uses mathematical biomarkers to accurately predict prostate cancer patient outcomes and survival, outperforming traditional PSA monitoring. These metrics can inform personalized treatment protocols, enabling more effective adaptive therapy.
The article proposes a healthspan-focused framework for Italy's National Health Service to promote healthy aging, prevent chronic diseases, and improve functional independence. The framework emphasizes prevention-oriented approaches, personalized healthcare, and multidisciplinary research.
UC San Diego engineers created a smart ring that continuously monitors up to four different chemical biomarkers from finger sweat. The ring provides real-time health insights into individuals with diabetes management and nutrition tracking, closely matching commercial glucose and ketone readings.
Researchers discovered 171 distinct mutations causing MET exon 14 skipping in lung cancer patients. RNA-based testing confirmed these alterations, highlighting the importance of complementary diagnostic approaches.
Researchers discovered specific microRNAs, including miR-16 and miR-140, which may help detect cancer-related muscle wasting in dogs. The study's findings have implications for human medicine, suggesting a potential new approach for earlier diagnosis and monitoring of cancer-related cachexia.
Researchers are exploring innovative technologies to improve disease diagnosis and treatment. AI models have shown promise in speeding up detection and treatment discovery for rare diseases. Meanwhile, electronic noses are being developed for non-invasive cancer screening.
Researchers found that tau buildup in PSP affects brain networks involved in thinking, including the prefrontal cortex and anterior cingulate cortex. The study suggests that symptoms arise from both local tau-related damage and remote disruption of a broader cognitive network.
Dr. Elaine S. Jaffe receives AMP's highest honor for pioneering contributions to lymphoma diagnosis and treatment. Dr. Laura J. Tafe is recognized for her leadership and service to the organization, while Dr. Daniel E. Sabath receives the Meritorious Service Award for his dedication to scientific excellence and organizational service.
Elaine S. Jaffe, a distinguished investigator at the NCI Center for Cancer Research, has transformed our understanding of lymphoid malignancies through her groundbreaking research. Her work has led to significant advancements in disease classifications, diagnosis, and treatment.
A portable, airpod-size fluorescence analytical device has been designed to provide timely home molecular testing. The VPodDuo can measure fluorescent signals generated by various detection chemistry formats and detect quantities of genetic material from several pathogens and human cancer markers.
A new study from UT Health San Antonio found a link between long sleep hours and higher levels of an Alzheimer's-related protein in the blood. The research suggests that long sleep may reflect early neurodegenerative processes, but more sleep is not always better for brain health.
AC004854.2 is significantly upregulated in colorectal cancer tissues and correlates with poor clinical outcomes, increased tumor aggressiveness, and reduced overall survival. It disrupts the PUF60–FUBP1 complex and activates c-MYC transcription, driving CRC malignancy.
The ECOG-ACRIN ENDURANCE trial found that indefinite lenalidomide maintenance had no survival benefit and more toxicity compared to stopping treatment after 2 years in patients not undergoing a stem cell transplant. The study suggests that fixed duration treatment can significantly reduce healthcare costs.
The meeting will explore breakthroughs in diabetes prevention and treatment, as well as innovative approaches to monitoring astronauts' health in space. Researchers will also discuss potential targets for slowing or preventing Alzheimer's disease in people with Down syndrome, and advancements in cervical cancer screening.
Researchers developed a new computational approach to identify genes that characterize different cellular states from mRNA-seq data, offering more accurate and interpretable analysis of complex biological data. The Cartesian Distance-Based Gene Expression (CDBGE) algorithm was evaluated using multiple publicly available datasets, demon...
A blood test measuring phosphorylated tau 217 (P-tau217) can estimate an individual's risk of developing cognitive impairment over 2, 5, and 10 years. Higher P-tau217 levels are associated with increased risk of progression to cognitive impairment in cognitively unimpaired older adults.
Researchers propose using the glucose ketone index (GKI) to track metabolic health in non-communicable diseases, which cause three in four deaths worldwide. The GKI measures blood glucose and ketones and may indicate metabolic state, assess long-term nutritional adherence, and support mitochondrial function improvement.
A new study published in JAMA Network Open found an alarming rise in invasive breast cancer among Asian American women over the last two decades. Breast cancer rates are rising among nearly all ethnic groups much faster than any other U.S. group, with Chinese and Vietnamese women experiencing the highest increases.
Macrophages are critical drivers of chronic allograft failure, with emerging strategies targeting key macrophage signaling pathways providing an important conceptual shift. Targeted therapies, such as inhibiting the purinergic pathway and mTOR/NF-κB pathway, show promise in preventing chronic rejection.
Researchers developed a low-cost electrochemical sensor to detect dopamine levels in artificial human tears. The technology could support the development of new tools for monitoring Parkinson's disease and other conditions linked to atypical dopamine levels.
Glial cells play critical roles in determining brain recovery after TBI, and researchers have identified ways to selectively modulate their functions. The study highlights the importance of coordinated cellular behavior and suggests that targeting glial responses could lead to effective therapies.
Researchers have discovered a biomarker that can predict and prevent epileptic seizures by detecting a period of neuronal silence before the seizure occurs. The use of this biomarker in neuromodulation therapy has shown promise in reducing seizure duration by up to 93%.
Researchers identified why some patients with rare blastic plasmacytoid dendritic cell neoplasm (BPDCN) leukemia don't respond to tagraxofusp. Severe TET2 gene mutations and low TXNRD1 enzyme levels contribute to resistance, suggesting these biomarkers could predict treatment outcomes.
A new study found that BCG vaccines can modify Alzheimer's biomarkers in non-Alzheimer's participants, suggesting a potential biological explanation for the observed link between BCG vaccination and lower disease risk. The vaccine also promoted increased immune responses in healthy participants without Alzheimer's pathology.
A new study has identified molecular tumor characteristics that distinguish between different subtypes of diffuse large B-cell lymphoma (DLBCL). The findings suggest that tumors from high-risk patients, referred to as PG4 proteogenotype, are characterized by specific genetic mutations and protein patterns. These characteristics can hel...
The study identified two proteins, BCL2 and MCL1, as predictive biomarkers for matching patients to specific drug combinations. Combining BRAF-MEK inhibitors with a BCL2 inhibitor induced tumor regression in previously resistant tumors.
A study reveals that Alzheimer's disease biomarkers are associated with rapid cognitive decline and progression to dementia in people over 80. The presence of these biomarkers identifies patients at risk of more significant impairment and loss of independence, even within the context of multiple coexisting conditions.