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Patent drawing for Systems, methods, and computer readable media for visualization of semantic information and inference of temporal signals indicating salient associations between life science entities
US 20,240,265,280 A1
Machine learning US 20,240,265,280 A1 Expired

Systems, methods, and computer readable media for visualization of semantic information and inference of temporal signals indicating salient associations between life science entities

This invention describes a method to understand relationships between different concepts, especially in life sciences. It works by identifying types for various words and phrases, then determining the type of a search term. The system then uses computer models called word embeddings to calculate how strongly these concepts are associated with each other. The claims narrow this to a method for generating these association scores.

Why it matters: Filed just as large language models were rapidly advancing. The underlying technology for generating sophisticated word embeddings and inferring complex semantic associations has become significantly more powerful and efficient since 2024.

Status
ExpiredProtection ended and was never renewed
How hard to build
SpecializedComplex software logic, machine learning, large datasets.

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