Diagnosing Ovarian Cancer Using Perception-based Nanosensors and Machine Learning

Two studies show the accuracy of perception-based systems in detecting disease biomarkers without needing molecular recognition elements, such as antibodies Researchers from multiple academic and research institutions have collaborated to develop a non-conventional machine learning-based technology for identifying and measuring biomarkers to detect ovarian cancer without the need for molecular identification elements, such as antibodies. Traditional clinical laboratory methods for detecting...

New Insights into Genetic Mechanisms Common to Humans and Simpler Species May Form the Basis for New Diagnostic Tests Performed by Clinical Pathology Laboratories

Scientists participating in the modENCORE study have the goal of understanding the causes of hereditary genetic diseases in humans New discoveries about the interaction of genes and transcription factors in creating different types of RNA will be of interest to pathologists and clinical chemists performing genetic tests and molecular diagnostic assays in their medical laboratories. The goal of this research is to better understand hereditary genetic disease in humans. The new knowledge is...
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