Research on how disease is diagnosed. Covers fetal-distress detection, faster diagnostics, redefining conditions, and bias in medical AI.
Researchers are working on a four-year project to develop a personalized model that uses detailed blood flow information to detect obstructions in the aorta. The project aims to improve prenatal testing so that doctors can spot problems in the aorta before a baby is born and recommend treatments.
Researchers developed a label-free platform combining microfluidic cell sorting with AI to enrich and identify rare CTCs. The integrated strategy uses inertial microfluidic enrichment and YOLOv8-based deep learning for bright-field image recognition, achieving 96.0% accuracy in distinguishing tumor cells.
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 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.
A new DNA test has been developed to identify the genetic causes of inherited muscle disease, offering hope for diagnosis and treatment for thousands of Australians. The test, which uses long-read sequencing, screens over 300 genes and detects complex genetic changes that older tests miss.
Researchers at MIT have developed a handheld device to collect living cells from specific locations in patient samples, enabling early cancer detection and personalized medicine development. The device uses a microfluidic channel to gently detach living cells from tissue, allowing for targeted sampling and cultivation for diagnostics a...
A novel multimodal auditory assessment platform combines brain-activity measurements and pupil-response monitoring to evaluate hearing-related disorders. The platform has been implemented for data collection and has shown promise in identifying features associated with abnormal auditory sensitivity.
The AudioSight platform combines smartphone-based pupillometry, low-cost near-infrared hardware, and AI analysis to screen for and track hearing-related disorders. The platform generates risk scores for auditory dysfunctions using a BiLSTM-attention model, offering a potential solution for widespread hearing disorders.
Researchers found that sensory neurons retain a memory of allergens that may explain why allergies develop over time. This memory primes neurons to respond more strongly to later exposures, even after the original allergen is gone.
Researchers developed a non-invasive method to detect Meniere's disease using mass spectrometry on earwax samples, providing a rapid and cost-effective solution for diagnosis. The technology offers enhanced diagnostic accuracy and opens new avenues for monitoring disease progression and response to treatment.
The new guidelines, developed by leading experts, focus on improving sepsis care by strengthening systems for diagnosis, treatment, prevention, and quality improvement. Emerging technologies, such as next-generation diagnostics and artificial intelligence, are also being explored to enhance sepsis care.
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.
Researchers at Tulane University have developed a diagnostic platform that can identify the precise species of bacteria causing NTM lung disease infections within four hours. The platform, called CANDI, uses mucus from the lungs and other respiratory fluids to test for up to 15 clinically relevant species and subspecies of NTM bacteria.
This technology combines electrocardiogram signals and electrical impedance tomography data to aid in the diagnosis and treatment of cardiac and pulmonary conditions. The simultaneous acquisition of ECG and EIT data provides precise cardiac timing and enhances EIT image reconstructions.
A new study reanalysed data from eight randomised trials on mammography screening, finding overdiagnosis to be less than 5%. The researchers suggest that previous high estimates of overdiagnosis were based on incomplete evidence and taken out of context.
A new saliva-based assay rapidly and accurately assesses flavivirus immunity by measuring multiple antibody classes in saliva. The test can distinguish between individuals with polytypic dengue virus immunity and those who have previously experienced both dengue virus and Zika virus infections.
This DNA nanoswitch technology detects RNases using a simple mix-and-read methodology, offering a cost-effective solution for biological samples. The nanoswitch changes shape in response to RNase presence, making it a useful tool for RNase-sensing applications.
The AI-powered platform, OralScan, uses artificial intelligence and user-captured photographs to identify common dental conditions, enabling longitudinal tracking of oral health findings. The platform targets seven conditions, including dental caries, periodontal disease, and tooth loss, and is available for licensing or collaboration.
Two studies on the 2026 Bundibugyo virus outbreak highlight new approaches to rapid diagnostics and vaccine preparedness. Diagnostic tests can be evaluated rapidly during an outbreak, and the 2026 virus may offer some cross-protection with existing Ebola vaccines.
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 recent study suggests that cerebral palsy (CP) may be a collection of symptoms that can occur in various conditions, rather than a single disease with genetic causes. The research found that only 89 of 515 genes previously linked to CP have a statistically significant association with the condition.
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.
A scoping review found that only 77 studies validating 52 medical AI products reported demographic data, highlighting the need for more transparent reporting to confirm safe and unbiased performance. The review also showed that performance reporting for demographic subgroups is inadequate, posing a risk to patient care and outcomes.
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 from Karolinska Institutet suggests that breast cancer classification may overlook important biological differences between patients that could affect treatment decisions. Women with tumours having low to moderate levels of estrogen receptors have poorer survival rates, highlighting the importance of precise classification.
Researchers at the Max Delbrück Center used proteomics and AI to identify a seven-protein signature in blood plasma that reliably indicates vasculitis remission. This biomarker could enable precise treatment with fewer side effects, improving patient outcomes.
A new study suggests a simple urine test could improve kidney transplant decisions by using donor urinary biomarkers, increasing accuracy and availability of transplanted kidneys. The study found that combining these biomarkers with the widely used Kidney Donor Profile Index significantly improves prediction of transplant success.
Researchers at Penn State have developed a new approach to diagnose sepsis-causing bacteria in blood infections, which can rapidly identify the specific pathogens and ideal antibiotics. This new approach, called STREAM, enables faster diagnosis and treatment, potentially reducing antibiotic resistance and improving patient outcomes.
A new blood test detects Alzheimer's disease using plasma amyloid-β seeding activity, achieving a diagnostic accuracy exceeding 90% in the validation cohort. The test uses real-time ultrasonic protein misfolding cyclic amplification technology, marking a critical transition in AD diagnosis.
UCSF's new center aims to train 1,000 health care providers annually and develop screening tools to identify eating disorders. The center will also serve as a national hub for eating disorders research, connecting investigators across institutions and disciplines.
A large population-based study found that emergency diagnoses are common across multiple conditions, including Parkinson’s disease and coronary heart disease, and are consistently associated with worse outcomes. The study suggests that emergency diagnosis is a common phenomenon across diverse diseases and is linked to higher mortality ...
USC researchers have developed custom, 3D-printed MRI sensors that provide clearer images of small organs in infants and children. The sensors, which can be customized to individual patients, are made in under 10 minutes and cost around $30.
A recent study by the Ethiopian Public Health Institute and the JAMA Network has identified emerging drug and diagnostic resistance variants as contributing factors to Ethiopia's malaria resurgence. The study highlights the need for continued monitoring and adaptation of treatment strategies to combat the growing malaria epidemic.
The PolyU research team has developed TRUECAM, an integrated AI framework that ensures data and model trustworthiness in cancer diagnosis. The framework can assess the level of an AI's confidence in its diagnostic outputs and proactively prompts pathologists to review cases when uncertainty is high.
Researchers found that active participation in colorectal cancer screening was associated with a 43% lower risk of dying from the disease, compared to just a 26% lower risk for those invited to screening. This study highlights the importance of taking part in colorectal cancer screening to save lives.
The Alliance for Clinical Trials in Oncology emphasizes the significance of clinical trials in advancing breast cancer treatments and early detection. The organization's work has led to a 44% decline in breast cancer mortality rates among women since 1989.
A new study reveals that fluctuations in estrogen influence brain connections in rats, using a specialized imaging technique called magnetic resonance elastography (MRE). Researchers hope to translate the findings to humans, exploring how hormonal changes affect brain health in women, particularly during menopause.
A new book by University of Virginia Health System expert Daniel J. Cox outlines a practical alternative to medication for managing pre-diabetes and type 2 diabetes. The GEM program emphasizes smart eating, physical activity, and listening to the body to regulate blood sugar levels.
Multi-source data-driven machine learning is transforming lung cancer diagnosis, treatment, and prognosis by analyzing complex medical data. The review highlights the innovative applications of this technology in early screening, personalized treatment optimization, and dynamic prognostic risk stratification.
A study identified novel autoantibodies associated with idiopathic myelopathy, specifically those related to vitamin B12 transport. Central nervous system vitamin B12 deficiency was also found in affected individuals. The findings suggest a potential diagnostic approach for myelopathy
A case-control study found that patients with overweight or obesity at diagnosis had better survival rates than those with normal weight. However, the apparent advantage was largely due to prediagnostic weight loss associated with cancer, and should not be taken as evidence for weight gain in healthy individuals.
Researchers have developed a potential new approach against the highly drug-resistant hospital fungus Candida auris. A synthetic sugar molecule that corresponds to a component of the fungus's surface has been identified as a promising basis for a vaccine, protective antibodies, and a rapid diagnostic test.
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.
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.
Celiac disease is a chronic autoimmune disorder caused by gluten intolerance, characterized by small intestine damage and malabsorption. Symptoms include diarrhea, abdominal pain, fatigue, and weight loss, with accurate testing and early treatment available to prevent complications.
Researchers have developed a machine learning model that can help clinicians assess uncertain variants in prenatal genetic testing, providing more accurate diagnoses and clearer information for families. The approach uses tissue-agnostic episignatures to overcome limitations in epigenetic testing.
Researchers identified seven proteins in the blood that can help diagnose Alzheimer's disease more accurately, improving treatment choices and future research. The new blood-based tests provide a clearer picture of the disease, allowing for earlier detection and better patient outcomes.
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.
The Lancet Diabetes and Endocrinology Commission on Obesity definition of obesity was found to have similar diagnostic accuracy as other definitions. The study compared the commission's definition with those from other reputable sources, including the World Health Organization (WHO) and the National Institutes of Health (NIH).
Dr. Amoako's evidence-driven services improve early diagnosis, expand access to treatment, and advance locally led research in Ghana. Her work aims to strengthen childhood cancer care across the country.
This cross-sectional study found that melatonin use was associated with a small reduction in REM sleep percentage, but not with differences in total sleep time or other sleep stages. The study suggests that further research is needed to clarify the effects of melatonin on children's sleep.
Researchers have identified a blood marker that can track the hidden progression of multiple sclerosis (MS), even in the absence of relapses. Elevated levels of glial fibrillary acidic protein (GFAP) are associated with disability progression, while changes in GFAP during treatment predict later risk of progression.
Liquid biopsy targeting viral ctDNA holds promise as a diagnostic and surveillance tool for head and neck cancer. The study aims to monitor treatment response and assess minimal residual disease (MRD) to adapt treatment via precision oncology.
Recent progress in lanthanide carriers is mapped to improve biomedical imaging and diagnosis, combining optical, X-ray, and magnetic resonance imaging techniques. These carriers enable high-resolution imaging with tunability for different applications, reducing tissue damage and enhancing image clarity.
High LDL-C led to 3.6 million deaths and 90.7 million disability-adjusted life years in 2023, despite declining mortality rates. The absolute burden increased due to population growth and aging, with regional disparities emerging.
Researchers found two widely used blood tests accurate in detecting Alzheimer’s pathology in participants with Down syndrome. The tests, Lumipulse G p-tau217 and PrecivityAD2, offer an easier path to diagnosis for this high-risk population.
A cross-sectional study of 172 venture capital-backed maternal health startups identified significant gaps in pregnancy care delivery, particularly for low-income populations. The study found that while startups have the potential to facilitate innovation, few address health equity concerns.
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 developed a framework to integrate AI into hospitals, emphasizing patient care, staff experience, and economic sustainability. The Total Mission Value framework aims to ensure high-quality patient care remains the top priority amidst AI's transformative potential.