Abstract: Computer-executed methods, systems, and media provide a first webpage, responsive to a user request, prompting for a query. A search for products or services that match the query yields a search results schema, comprising a hit description for the results of the search. A plurality of result details layout schemas, each corresponding to a search result, is also obtained. The search results schema specifies a location of each result details layout schema. A second web page encoding a first and second representation is created. The first representation is for a first search result and is centered in the second web page. The second representation is of a second search result and is positioned in an off-center position in a manner that is rotated about a first axis of rotation. The first and second representations are respectively specified by first and second result details layout schemas.

Abstract: Systems and methods for providing search results responsive to a search query are provided. A submitted search query is received from a search requester. Search results relevant to the search query are obtained from a document index. Each search result comprises (i) a source document or a reference to a source document and (ii) a static graphic representation of the source document. The static graphic representation of the source document was obtained from the source document at a time before the submitted search query was received. The static graphic representation of the source document of a first search result in the search results is displayed in a center position of a graphic output device. The static graphic representation of the source document of a second search result in the search results is displayed in an off-center position of the graphic output device.

Abstract: Systems and methods of diagnosing and/or treating physiologic conditions based upon pattern recognition of serum protein profiles are provided. Mass spectrometry or other conventional techniques for creating a profile of serum proteins is employed, and a patient's profile is thereafter digitized for computational analysis. A pattern recognition algorithm is implemented to determine a degree of similarity between the patient's profile and other profiles stored in a database along with information describing the pathologic state of the individuals from whom such data was obtained. The degree of similarity may provide an indication of, for example, the way in which the patient may react to a particular clinical treatment or their predisposition to a particular disease condition. The methods and system of the present invention may be used to monitor the dynamic progression of disease pathology in a patient, and may be implemented via a computer network.