Digital imaging analysis of biological features detected in physical mediums

A biological digital imaging system configured to analyze pixel data of one or more digital images depicting absorbent articles or portions of absorbent articles, the biological digital imaging system comprising:

• one or more processors;
• and
• an imaging application (app) comprising computing instructions configured to execute on the one or more processors,
• wherein the computing instructions of the imaging app when executed by the one or more processors, cause the one or more processors to:
• obtain, at the one or more processors, a digital image depicting an absorbent article or a portion of an absorbent article, the digital image comprising pixel data,
• analyze, by the imaging application (app) executing on the one or more processors, the digital image of the absorbent article or the portion of the absorbent article to detect a biological feature depicted within the pixel data of the digital image of the absorbent article or the portion of the absorbent article;
• wherein the analyzing of the digital image comprises inputting the digital image into a biological based learning model electronically accessible by the imaging app;
• wherein biological based learning model is trained with pixel data of a plurality of training images depicting absorbent articles or portions of absorbent articles having respective biological features depicted within the pixel data of respective training images, the biological based learning model configured to output one or more biological prediction values corresponding to one or more biological features of the pixel data of the plurality of training images depicting the absorbent articles or the portions of absorbent articles;
• and wherein the biological based learning model is configured to automatically segment a region of interest of the digital image comprising the biological feature for biological analysis based on the pixel data of the digital image, and
• generate, by the imaging app, an individual-specific biological prediction value corresponding to at least one of:
• (a) the absorbent article;
• (b) the portion of the absorbent article;
• or (c) an individual associated with the absorbent article or portion of the absorbent article,
• wherein the individual-specific biological prediction value is based on the biological feature depicted within the pixel data of the digital image of the absorbent article or the portion of the absorbent article, and
• wherein the biological feature identified in the pixel data comprises a stool or a stool residue.