Serial Number
97106715
Owner
Paige.AI, Inc.Attorney
Mark LeonardoFirst Use Date
Feb 9, 2023
Filing Date
Nov 3, 2021
PAIGE APPLAB Trademark
Serial Number: 97106715 • Registration: 8152125
Trademark Classes
Owner Contact Info
Legal Representation
Correspondence Address
Mark Leonardo NUTTER, MCCLENNEN & FISH, LLP
155 SEAPORT BOULEVARD
SEAPORT WEST
BOSTON, MA 02210
United States
Trademark Details
Filing Date
November 3, 2021
Registration Date
February 24, 2026
First Use Anywhere
February 9, 2023
First Use in Commerce
February 9, 2023
Published for Opposition
November 8, 2022
Goods & Services
Software as a service (SaaS) services featuring software for use in the analysis of clinical pathology slides using artificial intelligence (AI), machine learning, deep learning, statistical learning, data mining, and contextual prediction; medical and scientific testing services for research purposes using artificial intelligence (AI), machine learning, deep learning, statistical learning, data mining, and contextual prediction; Software as a service (SaaS) services featuring software for use in disease pathology, namely, software that reads digital slides and provides diagnoses; Software as a service (SaaS) services featuring software for use in diagnosis, detection, identification, detecting predispositions, detecting recurrence, evaluation of prognosis and monitoring of diseases, states, or conditions; Software as a service (SaaS) services featuring software to detect, monitor, or evaluate patients' responses to treatment of diseases, states, or conditions; Software as a service (SaaS) services featuring software for use in clinical management, in the selection of treatment of, use in prevention of, palliation or treatment, of diseases, states, or conditions; Software as a service (SaaS) services featuring software for use in research or development in the field of life sciences, medicine, healthcare, cancer, oncology and pathology; Software as a service (SaaS) services featuring software to convert patient image data into computer models for medical study of patient anatomy, to diagnose medical conditions, to analyze and annotate medical images, reviewing, interpreting, managing and navigating digital images of pathology slides prepared from tissue for diagnosing disease states, viewing images and managing analyses, and for enabling virtual networks across various pathology departments and pathology laboratories having various laboratory information systems to access the images and analyses; design and development of AI powered computer software that analyzes clinical pathology slides and diagnoses diseases through the use of AI powered computer software; medical and scientific research in the fields of clinical pathology and diseases using AI powered computer software; medical and scientific research and development services in the field of medicine, healthcare, cancer, oncology, life sciences and pathology; medical and scientific testing services for research purposes; providing medical research and scientific research information in the fields of in vitro diagnostics and clinical pathology research and testing via the internet; and electronic scanning of clinical pathology slide
