Research on how disease is diagnosed. Covers fetal-distress detection, faster diagnostics, redefining conditions, and bias in medical AI.
Researchers at Lund University created a digital cognitive test to diagnose Alzheimer's disease in primary care, providing early diagnosis and accurate treatment options. The test measures various aspects of cognitive impairment, increasing the accuracy of diagnosing Alzheimer's disease.
A simple AI model has been shown to accurately assess the aggressiveness of squamous cell carcinoma, a common form of skin cancer. The study found that two clinical features - ulcerated and flat skin surfaces - were strongly associated with more aggressive tumor growth.
A new report reveals a significant north-south divide in autism assessment times, with children in the North waiting an average of 54 days compared to just 13 weeks in some areas. The data also shows that girls from Pakistani heritage are 11 times less likely to receive an autism diagnosis than White British boys.
A new study published in JAMA finds biparametric magnetic resonance imaging (MRI) to be more efficient than multiparametric MRI for prostate cancer diagnosis. By adopting biparametric MRI, the global healthcare system could see a substantial increase in scanner throughput and cost reduction.
Scientists have identified a new genetic material called Inocles, which are large DNA elements hosted by bacteria in the mouth. These findings provide fresh insight into how oral bacteria colonize and persist in humans, with potential implications for health and disease research.
A new blood-based biomarker study identifies a link between self-reported cognitive decline and blood-based biomarkers, paving the way for a simple blood test to diagnose Alzheimer’s disease and related dementias. The approach could be faster, less-invasive, and more affordable than existing screening tools.
A Rutgers and RWJBarnabas Health study found that portable ultrasounds can lead to better diagnoses, shorter hospital stays, and significant cost savings. The technology requires additional training and workflow integration to be widely adopted.
A global study surveyed 14,000 patients across 43 countries, finding that those in poorer health were more likely to reject AI. Patients preferred explainable AI and wanted clinicians to make final decisions.
Researchers aim to integrate microbial sensing and communication with electronic networks, enabling computing systems constructed from living cells. The project explores the development of smart biosensors capable of identifying chemical signatures and learning through cellular memory.
A landmark study in China has established a new diagnosis framework for rare diseases, improving the diagnostic rate from 29.58% to 39%. The study analyzed genetic data from 42,703 families and identified regional differences and genetic hotspots.
The study found that detection rates of congenital heart disease have improved due to advances in ultrasound screening practices, with added specific views helping detect more defects before birth. However, detection rates still vary by region and type of defect, highlighting the need for continued improvements in prenatal care.
A study by Professor Chunxiu Gong's team identified the clinical presentation of Cornelia de Lange syndrome (CdLS) and genetic alterations in Chinese pediatric patients. The researchers found that 12 patients presented with classic CdLS, while others showed global developmental delays and growth retardation.
A new diagnostic method confirms sepsis infections in as little as two hours, cutting critical time for treatment. The technique uses centrifugation and artificial intelligence to detect bacteria in blood samples, enabling prompt antibiotic treatment and reducing survival rates by 8% per hour of delayed treatment.
The Pennington Biomedical Research Center has opened a new Endocrinology and Diabetes Clinic in Baton Rouge, providing specialized care for patients managing diabetes and endocrine disorders. The clinic is led by Dr. Timothy Gilbert, who brings nearly 20 years of private practice experience to the region.
Researchers at Kennedy Krieger Institute have developed biomarkers to help identify children with Sturge-Weber syndrome at risk of developing the condition. These tools can monitor disease progression and guide individualized treatment plans, potentially changing a child's development trajectory.
Researchers evaluated clinical outcomes of endoscopic resection in sellar chondrosarcomas, revealing common symptoms like blurring of vision and headaches. The study also provides recommendations for accurate diagnosis using imaging data and clinical features.
A team of scientists has unveiled a MoS2-based phototransistor that sets new records in optical gain and sensitivity. The device detects light pulses containing tens of photons and identifies disease biomarkers at attomolar concentrations, outperforming current gold standard assays.
A recent study by researchers at the University of Missouri has made a groundbreaking discovery using patient's own cartilage cells to aid in healing after hip surgery. The research team successfully cultured and expanded cartilage cells, or chondrocytes, in the lab, paving the way for future clinical applications.
The Family Heart Foundation has partnered with seven leading healthcare systems to accelerate screening in people with cardiovascular disease who have been identified by the find Lp(a) initiative. Individuals with elevated Lp(a) levels are at increased risk of another heart attack or stroke, and early detection can help reduce this risk.
Researchers have found subtle abnormalities in heart muscle function and blood pumping in young adults with bipolar disorder before the onset of heart failure. The study suggests a link between underlying coronary vascular dysfunction and cardiac impairment.
Researchers have developed a self-powered microneedle patch that can monitor biomarkers without drawing blood or relying on external devices. The patch uses dermal interstitial fluid (ISF) as a cleaner sample, which contains similar biomarkers to blood and doesn't require processing before testing.
A new diagnostic schema for COPD improves patient identification by incorporating CT lung imaging and respiratory symptoms. This approach identified additional individuals at risk of poor respiratory outcomes and excluded those with airflow obstruction without respiratory symptoms.
Researchers have developed an AI system that can recognize the early warning stages of laryngeal cancer from voice recordings. By analyzing variations in tone, pitch, and volume, the AI can distinguish between voices with benign vocal fold lesions and those with cancer. The study's findings offer a promising breakthrough for non-invasi...
Researchers identify key symptom categories and biomarkers for anti-NMDAR encephalitis, a rare autoimmune brain condition. Clinical manifestations suggest the presence of anti-NMDAR encephalitis through NMDA antibody checks, uric acid levels, C-reactive protein, and thyroid-related hormones.
A new technology enables early detection of esophageal cancer by combining optical coherence tomography and optoacoustic imaging to visualize tissue structure and function. This could reduce treatment costs from €140,000 to €10,000 per patient.
Researchers found that cellphone sensor data can be linked to a wider array of mental disorder symptoms, including those not specific to any one condition. The study used statistical analysis to correlate sensor data with symptom dimensions, revealing correlations with both specific behaviors and a general p-factor marker.
A new deep learning model, MSI-SEER, achieves high accuracy in predicting microsatellite instability-high tumors and their responsiveness to immunotherapy. The model combines tumor MSI status with stroma-to-tumor ratio for highly accurate ICI response prediction.
Local-stage colorectal cancer incidence among US adults ages 45-49 increased by 50% between 2021 and 2022, with a steep rise in 2019-2022. Screening rates also increased during this period, driven by recommendations to start screening at age 45.
A technology expert predicts AI-based medicine will revolutionise care for Alzheimer’s and diabetes, but access must be made available to all patients. The author highlights key innovations such as diagnostic imaging and surgical robots that will aid in more accurate diagnoses and treatments.
A new study published in JAMA Health Forum suggests that Medicare could save $3.6 billion annually by eliminating or reducing low-value tests and procedures for patients who do not benefit from them. This reduction in unnecessary care could also result in $800 million less in out-of-pocket costs for older adults.
Recent AI-based models, such as Asian Prostate Cancer Artificial Intelligence and Galen Prostate, optimize screening and reduce unnecessary biopsies. These models use multimodal clinical parameters and convolutional neural networks to detect prostate cancer and identify aggressiveness of cancer cells.
Researchers at Max Planck Institute successfully image individual sugars within the glycocalyx at molecular resolution, linking their spatial arrangement to biological function. This breakthrough enables functional conclusions about cellular processes and opens new avenues for clinical applications.
Researchers at Chiba University have developed novel microfluidic devices that incorporate microcones to detect and characterize circulating tumor cells in blood. The devices demonstrated highly selective capture of human breast and lung cancer cells, with high efficiency even at high flow rates.
A new silicone patch with star-shaped microneedles, called the ExoPatch, distinguishes melanoma from healthy skin in mice, capturing cancer biomarkers from exosomes. The test shows promise for early detection of the most aggressive form of skin cancer without a biopsy or blood draw.
A new ultrasound-based tool has shown high accuracy in detecting suspected meningitis in newborns and infants, offering a non-invasive alternative to traditional lumbar puncture. The device can correctly classify 17 out of 18 meningitis cases and detect high white blood cell levels with approximately 94% sensitivity.
A new study finds that people with dementia are diagnosed an average of 3.5 years after symptoms start, highlighting the need for improved healthcare strategies to speed up diagnosis. The research also reveals racial disparities in diagnosis rates, with black patients experiencing longer delays.
A recent study by Florida Atlantic University reveals that up to 40% of hospital transfers from nursing homes can be avoided. The study identified common medical conditions linked to unnecessary hospitalizations, including feeding tube complications and urinary tract infections.
Researchers at the University of Illinois found that benign and cancerous breast calcifications have unique structures and formation processes. The study provides a new classification scheme and opens the possibility of treating benign calcifications using certain drugs.
Researchers developed an AI-based screening tool using pangrams to detect Parkinson’s disease with nearly 86 percent accuracy. The web-based test analyzes voice recordings for subtle patterns linked to the neurodegenerative disease, identifying potential warning signs.
Aging and depression are linked to complex brain-body communication, with organs aging at different rates and influencing disease susceptibility. Dr. Hamilton Oh's research reveals how immune cells and metabolic organs amplify or dampen mood symptoms, offering novel therapeutic targets.
Researchers have discovered ancestral evolutionary links of Aspergillus latus strains through genome sequencing analyses, revealing potential for reduced susceptibility to antifungal medications. The study highlights the need for improved molecular diagnostic tools to accurately identify A. latus strains and manage aspergillosis.
Researchers have developed a groundbreaking technique that maps temperature in three dimensions within biological tissue using invisible light and artificial intelligence. This new technology has the potential to improve early disease detection and treatment monitoring without the need for costly or invasive imaging technologies.
The European Research Council has awarded three ERC Proof of Concept grants to Göttingen University professors, enabling the development of initiatives that can benefit Europe's economy and society. The projects focus on harnessing renewable energy, reducing chemical waste, and improving biomedical image analysis.
Delays in hypertension diagnosis were common, associated with delayed treatment initiation and adverse cardiovascular outcomes. The study highlights the need for earlier identification and intervention to improve treatment and patient outcomes.
A Finnish population study reveals that middle-aged individuals can have high levels of blood-based biomarkers associated with Alzheimer's disease. The study found a link between kidney disease and higher biomarker levels in middle age, as well as an association between the APOE ε4 gene and older age biomarker concentrations. Further r...
A study of 62,839 people diagnosed with non-metastatic prostate cancer in Sweden found that those treated according to NCCN Guidelines were likely to survive their cancer for their remaining life-expectancy. Those with low- and intermediate-risk cancer were six times more likely to die of other causes than prostate cancer.
Research review finds handgrip strength is a reliable predictor of cirrhosis complications and outcomes, including malnutrition, muscle loss, cognitive impairment, hepatic encephalopathy, and mortality. Regular HGS assessments can inform timely personalized interventions to enhance patient quality of life.
Researchers at UChicago have developed a more sensitive liquid biopsy test that uses RNA to detect the earliest stages of colorectal cancer with 95% accuracy. The test analyzes RNA modification levels in blood samples, which remain stable regardless of sample preparation.
Researchers highlight the benefits of artificial intelligence in glioblastoma management, including improved diagnosis, treatment planning, and personalized therapy. AI-based models can analyze radiological images, predict tumor characteristics, and suggest effective treatments, promising to improve patient outcomes and survival rates.
A new study reveals that PCOS patients often face dismissal and misunderstanding from the healthcare system. The study found that patients reported feeling ignored or minimized when raising concerns about their symptoms, leading to delays in diagnosis and treatment.
A new blood biomarker, p-tau217, has been identified as a potential predictor of Alzheimer's disease progression. This marker shows promise in identifying individuals at higher risk of developing the disease, allowing for early intervention and targeted treatment.
The American College of Chest Physicians launches a new initiative to aid in reducing time to diagnosis for complex lung conditions like NTM disease and bronchiectasis. The Bridging Specialties program aims to provide clinicians with essential tools for earlier detection, accurate diagnosis, and effective management.
Researchers at the University of Illinois Urbana-Champaign have developed a new non-invasive MRI approach that visualizes brain metabolism and detects metabolic alterations associated with brain diseases. The technique uses magnetic resonance spectroscopic imaging to provide insights into brain function and disease processes.
A Nagoya University group created a sandwich ELISA technique to accurately measure polysialic acid levels in the blood of patients with psychiatric disorders. The technique uses antibodies that minimize non-specific binding, resulting in increased accuracy.
Researchers at the University of Illinois developed cryosoret nanoassemblies that enhance fluorescence signals, reducing detection limits for biomarkers. The new platform offers dual-mode interaction between electric and magnetic components of light, promising highly sensitive and tunable biosensing systems.
Researchers have developed a new genetic risk score to identify type 1 and type 2 diabetes in Chinese populations. The test was tested on over 5,000 patients and showed improved accuracy in diagnosis, particularly for those with high family risk of developing type 1 diabetes.
Current risk-based regulatory approaches to AI in healthcare fall short, ignoring individual patient preferences and potential for bias. Authors call for introduction of patient rights relating to AI-generated diagnosis or treatment planning to protect patients' autonomy and trust.
The UK's healthcare professionals are now equipped with evidence-based guidance on managing patients taking private weight loss medications. The ten tips emphasize the importance of prioritizing patient safety and providing wrap-around care like dietary advice and psychological support.
The Association for Molecular Pathology publishes guidelines for detecting homologous recombination deficiency (HRD) in cancer. The report includes recommendations for clinical laboratories, addressing technical aspects of genomic instability and HRD analysis.
A new study reveals six 'closed loop' barriers that prevent doctors from using point-of-care ultrasound, leading to missed opportunities for life-saving interventions. The researchers propose practical steps to address these cultural and practical challenges, aiming to increase POCUS uptake and benefit patients.