US2022050832A1PendingUtilityA1

Pathway visualization for clinical decision support

Assignee: KONINKLIJKE PHILIPS NVPriority: Apr 2, 2012Filed: Oct 28, 2021Published: Feb 17, 2022
Est. expiryApr 2, 2032(~5.7 yrs left)· nominal 20-yr term from priority
G16B 45/00G16B 5/00G16B 5/20G06F 16/248
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Claims

Abstract

When generating visual representations of gene activity pathways for clinical decision support, a validated pathway database that stores a plurality of validated pathways is accessed, wherein each pathway describes at least one interaction between a plurality of genes. A processor (18) is configured to execute computer-executable instructions stored in a memory (16), the instructions comprising visually representing gene activity level (28) for at least one gene across a plurality of populations, retrieving a pathway (32) from the validated pathway database, wherein the pathway includes the at least one gene, and visually representing gene activity levels for all genes in the pathway. The instructions further comprise a formal visual grammar representation visually representing information flow (36) through interactions between genes in pathway, linking the visual representation of the information flow to actionable information (42) for a clinician, and outputting the visual representation of the information flow and the linked actionable information to the to the clinician.

Claims

exact text as granted — not AI-modified
1 . A system that facilitates visualizing gene activity pathways, using a visual grammar that defines visual elements associated with gene expression, gene activity level, and information flow, for clinical decision support, including:
 a validated pathway database that stores a plurality of validated pathways, each of which describes at least one interaction between a plurality of genes using the visual grammar; and   a processor configured to execute computer-executable instructions stored in a memory, the instructions comprising:
 visually representing gene activity level for at least one gene across a plurality of populations; 
 retrieving a pathway from the validated pathway database, wherein the pathway includes the at least one gene; 
 visually representing gene activity levels for all genes in the pathway; 
 visually representing information flow through interactions between genes in the pathway; 
 linking the visual representation of the information flow ( 36 ) to actionable information for a clinician; 
 outputting the visual representation of the information flow and the linked actionable information to the clinician.

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