Clinical and Lab Diagnostics - Pioneering study finds predictive biomarker in lung adenocarcinoma
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  The latest clinical and lab diagnostics news from News Medical  
 

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   Pioneering study finds predictive biomarker in lung adenocarcinomaPioneering study finds predictive biomarker in lung adenocarcinoma
 
In a recent study published in Nature Communications, researchers from the United States of America (USA) investigated the potential of the transcriptome of tumor-adjacent normal lung tissue in predicting the prognosis of lung cancer.
 
   New AI system achieves 98.5% accuracy in autism diagnosisNew AI system achieves 98.5% accuracy in autism diagnosis
 
A newly developed artificial intelligence (AI) system that analyzes specialized MRIs of the brain accurately diagnosed children between the ages of 24 and 48 months with autism at a 98.5% accuracy rate, according to research being presented next week at the annual meeting of the Radiological Society of North America.
 
 

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 AI and synthetic patients could make early diagnosis of chronic fatigue syndrome more feasible
 
AI and synthetic patients could make early diagnosis of chronic fatigue syndrome more feasibleBetween 17 and 24 million people worldwide suffer from chronic fatigue syndrome, a deeply debilitating and difficult-to-diagnose condition. According to the World Health Organization, this condition causes a wide range of symptoms that combine to produce a debilitating, difficult-to-explain feeling of extreme, including difficulty sleeping and feeling unwell after exertion.
 
 
 Review sheds light on the complex challenge of diagnosing and managing cow's milk allergy in children
 
Review sheds light on the complex challenge of diagnosing and managing cow's milk allergy in childrenThe Nutrients journal review highlights the challenges in diagnosing and managing Cow's Milk Allergy (CMA) in children, emphasizing the discrepancy between clinical guidelines and actual practice, and the need for improved strategies in prevention and management.
 
 
 New study highlights urgent need for specific biomarkers in vascular cognitive impairment and dementia diagnosis
 
New study highlights urgent need for specific biomarkers in vascular cognitive impairment and dementia diagnosisA review in Nature Reviews Neurology discusses the pathophysiological processes in vascular cognitive impairment and dementia (VCID), emphasizing the need for specific biomarkers to differentiate VCID from Alzheimer's disease and to improve diagnosis and treatment strategies, moving beyond reliance on neuroimaging and patient histories.
 
 
 Novel assay may improve detection and treatment of acute myeloid leukemia
 
Novel assay may improve detection and treatment of acute myeloid leukemiaA novel assay that detects a unique molecular marker in patients with acute myeloid leukemia (AML) may revolutionize the way this disease is detected and treated according to a new report in The Journal of Molecular Diagnostics published by Elsevier.
 
 
 Australian women experience decade-long delay in diagnosis of endometriosis
 
Australian women experience decade-long delay in diagnosis of endometriosisAustralian women with endometriosis can experience symptoms including severe period pain, depression and back pain for around a decade before being diagnosed, a University of Queensland study has revealed.
 
 
 A review of automated clinical depression diagnosis tools
 
A review of automated clinical depression diagnosis toolsApproximately 280 million people throughout the world are current estimated to suffer from depression. Traditionally, semi-structured interviews have been used to assess depression; however, this method is subjective and susceptible to bias and social stigma.
 
 
 Researchers develop machine learning-based tool for assessment of shoulder function
 
Researchers develop machine learning-based tool for assessment of shoulder functionA study published in Scientific Reports introduces a simple string-pulling task as a reliable method for assessing shoulder mobility in both animals and humans. This innovative approach, combined with machine learning, has the potential to revolutionize the diagnosis and monitoring of shoulder injuries, offering an affordable and accessible solution.
 
 

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