IMPRINT trademark - AI Immunology Datasets

ChangeBridge: Trademarks - Technology Services (Class 042)

Published April 4th, 2024

Detected April 1st, 2026

Summary

USPTO received trademark application TM98485146 for "IMPRINT" in Class 042 (Technology Services). The application covers AI-based immunology datasets, computational modeling services for drug discovery, and machine learning training data for identifying druggable targets. Filed April 4, 2024, with Intent-to-Use declaration.

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What changed

USPTO filed trademark application TM98485146 for "IMPRINT" on April 4, 2024. The application covers Class 042 services including creating and analyzing immunology datasets for AI model training, providing non-downloadable software for data analysis in immunology and medical fields, and providing information on computational modeling for chronic disease research. The mark has an Intent-to-Use declaration with a projected use date of March 31, 2026.

This is a standard trademark filing that does not impose regulatory obligations on third parties. Competitors offering similar AI/immunology technology services should review the application to assess potential conflict with their own marks. No immediate action is required unless the applicant seeks to oppose registration during the publication period.

Source document (simplified)

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IMPRINT

Intent to Use TM98485146 Kind: intenttouse Mar 31, 2026

Abstract

Creating, designing and improving of datasets, namely, computational computer modeling using and analyzing immunology data for training artificial intelligence (AI) models and large language models (LLM) to learn patterns and make predictions and visualize data models and training data for identifying druggable targets, antibody sequences and cell therapies in the fields of immunology, immunomics, immunotherapy, psychiatry, neurology, allergy, and infectious disease for drug, biologics, and vaccine design purposes in the field of medical science and medical consultancy; Providing temporary use of online non-downloadable software for searching, reviewing, analyzing, testing, predicting, inferring, reconstructing, organizing, screening and sharing data, methodologies, and protocols in the fields of immunology, immunomics, immunotherapy, psychiatry, neurology, allergy, and infectious disease; Providing information about computer computational modeling of methods regarding machine learning, artificial intelligence (AI) training data, large language models (LLM) to learn patterns and make predictions for identifying etiology, treatment, and prophylaxis of chronic diseases, autoimmunity, psychiatric, neurological disorders, allergy, and infectious disease