Articles tagged with Medical Diagnosis
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A new report from Northwestern University offers six practical strategies to improve the doctor-patient bedside encounter in an era dominated by AI. By employing these strategies, clinicians can strengthen patient-physician relationships, combat inequities, and reduce burnout, ultimately leading to better patient outcomes.
A recent FAU Engineering study leverages quantum computing to enhance the accuracy of chronic kidney disease (CKD) diagnosis. The research team developed and compared two automated systems: Classical Support Vector Machine (CSVM) and Quantum Support Vector Machine (QSVM). CSVM achieved remarkable 98.75% accuracy, while QSVM reached 87....
Australian scientists have developed a new blood test that can identify women with ovarian cancer more likely to benefit from PARP inhibitor therapy, offering hope for more effective treatment. The test measures immune biomarkers and predicts which patients will respond to treatment.
Researchers developed an AI model that outperforms radiologists in detecting hidden objects on chest scans, particularly for cases of foreign body aspiration. The model achieves high precision and recall rates, helping doctors diagnose complex conditions more reliably.
A review highlights transposable elements' influence on gene expression, genome stability, and disease development. TEs are recognized as regulators of gene regulation and disease, offering new avenues for diagnosis and therapy.
Researchers analyzed carotid plaque samples from 75 Chinese and 111 US patients, revealing distinct differences in plaque morphology, size, and composition. The study highlights the importance of understanding population-specific variations to develop personalized treatment approaches for cerebrovascular events.
A liquid biopsy test may enable early detection of various cancers, increasing stage I–III diagnoses by 10-30% and stage IV diagnoses by 45%. This could improve patient outcomes and reduce the economic impact of cancer. The study's findings suggest a game-changing approach to cancer control.
Research published in ERJ Open Research suggests that assessing hospital patients' reported shortness of breath could help doctors prioritize care for those at high risk of death. Patients who developed shortness of breath were six times more likely to die than those who did not, with a higher rating indicating greater risk.
A new study published in the Chinese Neurosurgical Journal explores an AI tool that identifies medulloblastoma subgroups based on magnetic resonance imaging scans. The model achieved impressive accuracy in predicting molecular subtypes and genetic risk factors, with 91% accuracy for TP53 mutations and 87% accuracy for chromosome 11 loss.
Researchers found that combining three biomarkers – lipoprotein(a), remnant cholesterol, and high-sensitivity C-reactive protein – can reveal a nearly three-fold increase in heart attack risk. This combination approach may aid health care professionals in identifying individuals with high-risk profiles earlier.
Researchers have developed an AI-driven facial recognition system called AcroFace that can detect acromegaly by analyzing facial photographs. The system achieved a success rate of 93% in a preliminary trial, outperforming previous attempts. Early detection could lead to timely treatment and improved outcomes for patients with this rare...
Researchers discovered that cardiac fibroblasts use a signaling pathway to promote harmful changes in the heart, weakening its ability to pump blood efficiently. Blocking this pathway in mice models improved heart function, suggesting that fibroblasts could be a potential target for new therapeutic strategies.
A new study suggests that collecting and testing cancer cells in patients' blood could help doctors choose the right breast cancer treatment. The 'labyrinth chip' technology separates cancer cells from other blood cells, allowing researchers to identify biomarkers that distinguish aggressive treatments from less invasive ones.
A new study reveals how prenatal alcohol exposure impairs key brain cells and circuits, leading to cognitive inflexibility and increased risk of compulsive alcohol use. Researchers identified a specific brain cell affected by early alcohol exposure, providing a clear target for developing more effective treatments of FASD.
A new Alliance trial is exploring the effectiveness of a combination of targeted therapy and immunotherapy for patients with advanced adrenocortical carcinoma, a rare and aggressive cancer. The study aims to improve disease control and quality of life for patients with limited treatment options.
Researchers at FAU Engineering have developed foot-mounted wearable sensors and a 3D depth camera that accurately measure how people walk, even in busy clinical environments. The study findings reveal that these technologies match the accuracy of traditional tools but are more scalable, remote, and cost-effective.
The Association for Molecular Pathology recognized Dr. Laposata's contributions to clinical laboratory practice and his role in challenging the FDA's rule on laboratory-developed test regulation. The award preserves diagnostic innovation, ensures patient access, and avoids escalating healthcare costs.
Tear-derived extracellular vesicles show promise as non-invasive biomarkers for ocular and neurodegenerative diseases. The study highlights their potential to provide valuable information about the eye's health, including processes related to neurodegenerative diseases.
Rebecca Richards-Kortum has been elected to the National Academy of Medicine for her major contributions to global health. She created low-cost, lifesaving technologies for underserved communities, transforming health systems worldwide through her innovations in cervical cancer diagnostics and neonatal care technologies.
A recent study found that cannabis may reduce opioid use among commercially insured patients with cancer diagnoses, indicating potential benefits for pain management. However, further research is needed to confirm the efficacy of cannabis as a treatment for cancer-related pain.
A landmark study analyzed health data from over 600,000 patients across 10 countries to assess patient risk for non-ST-elevation acute coronary syndrome (NSTE-ACS). The AI-powered model GRACE 3.0 predicts risk more accurately and guides personalized treatment decisions.
The Josep Carreras Institute is pioneering Spatial Transcriptomics to understand tumor structure at the cellular level. The institute's guidance on this methodology offers practical solutions for improving reproducibility and clinical application.
Researchers developed an ultra-sensitive hydrogel for human-machine interaction, achieving high-accuracy collaboration in remote surgical operations and virtual reality. The AirCell Hydrogel boasts a smooth surface and porous interior structure, allowing it to detect various human motions with exceptional accuracy.
Researchers have developed a non-invasive blood test that can detect Amyotrophic Lateral Sclerosis (ALS) earlier and with higher accuracy by measuring cell-free DNA. The test distinguishes between ALS patients and healthy individuals, as well as those with other neurological conditions.
Researchers introduced refinements to a rarely used surgical method, the reverse homodigital dorsoradial flap, for radial thumb defects. The key refinements preserved subcutaneous tissue for venous drainage and left a buffer zone at the arterial pivot point to reduce stress on blood vessels.
A cross-sectional study reveals substantial motor difficulties in preschool children that remain under-recognized by parents. The study supports timely referral to clinicians for formal diagnosis using a systematic approach for early identification in preschoolers. The findings highlight the need for structured screening and awareness ...
Scientists have developed a high-accuracy blood test to diagnose Chronic Fatigue Syndrome (ME/CFS), with 96% sensitivity and 98% specificity. The test uses EpiSwitch technology to identify unique DNA patterns in patients, offering new hope for diagnosis and treatment.
A study by researchers at the University of São Paulo identified high levels of neuroinflammation in young individuals with Down syndrome, contributing to the high prevalence of Alzheimer's disease. The discovery paves the way for disease prevention strategies and personalized treatments.
A new molecular sensor can detect influenza virus in the presence of a thymol flavor, which is released when the virus interacts with human saliva. Researchers plan to integrate this technology into chewing gum or lozenges for at-home screenings and pre-symptomatic transmission prevention.
A recent study suggests that the rise in early-onset cancer incidence in the US population may not be as significant as initially thought. Much of the increase is attributed to increased diagnostic scrutiny and over-diagnosis, rather than a genuine rise in clinically meaningful cancer cases.
A simple blood analysis can predict the risk of developing severe liver disease, enabling earlier detection and potentially improving treatment outcomes. The CORE model, developed by Karolinska Institutet researchers, is based on three routine blood tests and has been shown to be highly accurate in predicting liver disease risk.
Dr. Langlois and his team will support large-scale scientific research, protect vulnerable communities, and strengthen Canada's ability to face future health emergencies. The High-Throughput Facility infrastructure will rapidly detect and track new infectious disease threats while protecting people and communities.
A new robot-assisted bronchoscope has been shown to diagnose tiny lung tumors in hard-to-reach areas with over 84% success rate, more than three times higher than traditional methods. The technology enables accurate diagnosis in patients where conventional bronchoscopy offers no viable option.
Researchers discovered widespread inflammation, immune cell dysfunction, and cellular reprogramming in people at risk for RA. The study identified new biologic targets for prevention and ways to improve treatments.
Leading researchers are advocating for increased diagnostics and treatment of Alzheimer's disease, citing significant advances in research and the availability of new medicines. The European Union has approved two medicines that slow the progression of mild dementia by removing amyloid plaques from the brain.
The study introduced an Epic electronic health record workflow to auto-order preventive and chronic disease tests for complex older adults. This approach has improved patient engagement, reduced post-visit results communication, and minimized cancellations.
Researchers developed a flexible optical touch sensor that can pinpoint pressure strength and location with high sensitivity. The sensor uses multiple optical channels to detect pressure in more than one spot, enabling smart interfaces and devices.
Researchers developed an AI model that diagnoses achalasia using plain chest X-rays, outperforming physicians' reviews. The diagnostic performance of the AI model demonstrated higher sensitivity and specificity, enabling early diagnosis and potentially improving treatment efficacy.
A deep learning model achieved up to 98% accuracy in distinguishing autistic from neurotypical participants, providing clear insights into brain regions most influential to its decisions. The model could benefit autistic people and clinicians by offering accurate and explainable results to inform assessment and support.
Researchers at Salk Institute and UC San Diego have identified a unique sugar called HSAT as a potential therapeutic target for slowing tumor progression and metastasis in pancreatic ductal adenocarcinoma. Boosting HSAT levels may slow the formation and spread of pancreatic cancer, leading to improved survival rates among patients.
Researchers at Tulane University have developed an enhanced CRISPR-based tuberculosis test that works with a simple tongue swab, detecting TB in samples with very low levels of bacteria. The new test shows high sensitivity and accuracy, offering a significant step forward toward effective diagnoses via a variety of samples.
A new algorithm developed by Núria Malats and her team can accurately predict the presence of metastasis in pancreatic cancer using medical images. The PMPD algorithm has shown promising results, classifying 56% of metastases with high accuracy and potentially avoiding unnecessary surgeries.
The VasCog-2-WSO criteria update provide operationalization and guidance on neuroimaging and fluid biomarkers for VCID diagnosis. This new standard aims to facilitate diagnostic consistency among clinicians and researchers worldwide.
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.