Methods and systems for physiologically informed network searching

A method of physiologically informed network searching, the method comprising:

• receiving, at a computing device, a biological extraction from a user;
• generating, by the computing device, an index classifier, wherein the index classifier comprises a machine-learning model trained by training data comprising a plurality of user physiological data records and a plurality of user cohort labels configured to receive biological extractions as inputs and outputs web search indices, wherein the index classifier further comprising a classification algorithm clustering a plurality of user physiological data records to a plurality of user cohort labels, wherein each user cohort label from the plurality of user cohort labels is correlated to the plurality of physiological data having a greatest degree of similarity to the biological extraction from the user;
• outputting, by the computing device and from the index classifier, a physiologically linked web index, wherein the physiologically linked web index further comprises physiological data of past biological extractions of the user;
• receiving, from the user, a search query;
• and
• generating, using the physiologically linked web index and the search query, a ranked search result.