Abstract: The present invention relates to rapid, sensitive methods for determining whether a subject is at risk of developing lung cancer or has lung cancer based on certain combinations or biomarkers or biomarkers and biometric parameters.

Abstract: The present invention relates to rapid, sensitive methods for determining whether a subject is at risk of developing lung cancer or has lung cancer based on certain combinations or biomarkers or biomarkers and biometric parameters.

Abstract: The present invention relates to rapid, sensitive methods for determining whether a subject has or is at risk of developing lung cancer based on certain combinations of biomarkers, or biomarkers and biometric parameters. The methods consist of: a) quantifying in a test sample obtained from a subject, the amount of two or more biomarkers in a panel, the panel comprising at least one antibody and at least one antigen: b) comparing the amount of each biomarker quantified in the panel to a predetermined cutoff for said biomarker and assigning a score for each biomarker based on said comparison: c) combining the assigned score for each biomarker quantified in step b to obtain a total score for said subject: d) comparing the total score in step c with a predetermined total score and e) determining whether said subject has a risk of lung cancer based on the comparison in step d.

Abstract: The present invention relates to rapid, sensitive methods for determining whether a subject has or is at risk of developing lung cancer based on certain combinations of biomarkers, or biomarkers and biometric parameters. The methods consist of: a) quantifying in a test sample obtained from a subject, the amount of two or more biomarkers in a panel, the panel comprising at least one antibody and at least one antigen: b) comparing the amount of each biomarker quantified in the panel to a predetermined cutoff for said biomarker and assigning a score for each biomarker based on said comparison: c) combining the assigned score for each biomarker quantified in step b to obtain a total score for said subject: d) comparing the total score in step c with a predetermined total score and e) determining whether said subject has a risk of lung cancer based on the comparison in step d.

Abstract: The present invention relates to rapid, sensitive methods for determining whether a subject is at risk of developing lung cancer or has lung cancer based on certain combinations or biomarkers or biomarkers and biometric parameters.

Abstract: Embodiments described herein provide methods of analysis of a reaction, such as an agglutination reaction producing an agglutination pattern, and the like. In one method, an image of the agglutination pattern is captured. The image captured is digitized to form a digital image comprising a pixel. Roughness is measured, reflecting pixel local environment, at each pixel comprising a region of interest of the digital image of the agglutination pattern. At least one of classification and quantification of the image captured of the agglutination pattern is performed based on the measured roughness. In another embodiment, roughness is derived using a shared weights neural network approach, the roughness reflecting pixel local environment at each pixel comprising a region of interest of the digital image of the agglutination pattern. At least one of classification and quantification of the image captured of the agglutination pattern is performed based on the derived roughness.