AI-POWR

Designação definitivamente arquivada

Marca Nominativa depositada no INPI em 29/12/2020 por Hepion Pharmaceuticals, Inc., processo nº 501597990, nas classes 09, 42. O processo não está mais ativo — o nome pode estar livre para novo pedido.

Número do processo	501597990
Situação	Designação definitivamente arquivada
Apresentação	Nominativa
Natureza	Madri Produto/Serviço
Data do depósito	29/12/2020
Data da concessão	—
Vigência até	29/12/2030
Titular	Hepion Pharmaceuticals, Inc.
UF · País	— · US

Classes e especificação

Classe 09 — Software e eletrônicos

Computer software for using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation in clinical trials or studies, designing clinical trials or studies, enriching and enhancing clinical trial or study designs, de-risking clinical trial or study designs, clinical trials simulations, clinical endpoint selection, analyzing non-clinical data, preclinical data, and clinical data, analyzing results of clinical trials or studies, and evaluating clinical outcomes and treatment responses, patient identification and a priori responder selection, individualizing treatments, predicting clinical outcomes and treatment responses, and disease diagnoses and treatment determination, selection, and identification, drug, drug target, and drug combination selection and evaluation, biomarker selection, genetic analyses, omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics analyses, and accessing, processing, and analyzing omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics data, and in the medical field, biomedical field, healthcare field, pharmaceutical field, and biotechnological field; computer software for integrating artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation with disease studies and investigations, pharmaceutical and drug research and development, biomedical, biological, and biotechnological research and development, and pharmacology, clinical pharmacology, system pharmacology, and system biology; computer software for clinical trials or studies, designing clinical trials or studies, enriching and enhancing clinical trial or study designs, de-risking clinical trial or study designs, clinical trials simulations, clinical endpoint selection, analyzing non-clinical data, preclinical data, and clinical data, analyzing results of clinical trials or studies, and evaluating clinical outcomes and treatment responses using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation; computer software for patient identification and a priori responder selection, individualizing treatments, predicting clinical outcomes and treatment responses, and disease diagnoses and treatment determination, selection, and identification using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation; computer software for drug, drug target, and drug combination selection and evaluation, biomarker selection, genetic analyses, omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics analyses, accessing, processing, and analyzing omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics data, accessing, processing, and analyzing public and proprietary omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics data, and accessing, processing, and analyzing omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics data via a global computer network using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation; computer software for disease studies and investigations, understanding of diseases, pharmaceutical and drug research and development, biomedical, biological, and biotechnological research and development, and pharmacology, clinical pharmacology, system pharmacology, system biology research and development using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation.;

Classe 42 — Tecnologia e pesquisa

Design, development, programming, testing, maintenance, customization, and operation of computer software in clinical trials or studies, designing clinical trials or studies, enriching and enhancing clinical trial or study designs, de-risking clinical trial or study designs, clinical trials simulations, clinical endpoint selection, analyzing non-clinical data, preclinical data, and clinical data, analyzing results of clinical trials or studies, and evaluating clinical outcomes and treatment responses, patient identification and a priori responder selection, individualizing treatments, predicting clinical outcomes and treatment responses, and disease diagnoses and treatment determination, selection, and identification, drug, drug target, and drug combination selection and evaluation, biomarker selection, genetic analyses, omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics analyses, and accessing, processing, and analyzing omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics data, and in the medical field, biomedical field, healthcare field, pharmaceutical field, and biotechnological field using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation; consulting, consultancy, and consulting services related to clinical trials or studies, designing clinical trials or studies, enriching and enhancing clinical trial or study designs, de-risking clinical trial or study designs, clinical trials simulations, clinical endpoint selection, analyzing non-clinical data, preclinical data, and clinical data, analyzing results of clinical trials or studies, and evaluating clinical outcomes and treatment responses, patient identification and a priori responder selection, individualizing treatments, predicting clinical outcomes and treatment responses, and disease diagnoses and treatment determination, selection, and identification, drug, drug target, and drug combination selection and evaluation, biomarker selection, genetic analyses, omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics analyses, and accessing, processing, and analyzing omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics data, and related to the medical field, biomedical field, healthcare field, pharmaceutical field, and biotechnological field using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation (term considered too vague by the International Bureau - Rule 13 (2) (b) of the Regulations); platform as a service (PaaS) featuring computer platforms and software for using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation in clinical trials or studies, designing clinical trials or studies, enriching and enhancing clinical trial or study designs, de-risking clinical trial or study designs, clinical trials simulations, clinical endpoint selection, analyzing non-clinical data, preclinical data, and clinical data, analyzing results of clinical trials or studies, and evaluating clinical outcomes and treatment responses, patient identification and a priori responder selection, individualizing treatments, predicting clinical outcomes and treatment responses, and disease diagnoses and treatment determination, selection, and identification, drug, drug target, and drug combination selection and evaluation, biomarker selection, genetic analyses, omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics analyses, and accessing, processing, and analyzing omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics data, and in the medical field, biomedical field, healthcare field, pharmaceutical field, and biotechnological field; software as a service (SaaS) featuring computer platforms for using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation in clinical trials or studies, designing clinical trials or studies, enriching and enhancing clinical trial or study designs, de-risking clinical trial or study designs, clinical trials simulations, clinical endpoint selection, analyzing non-clinical data, preclinical data, and clinical data, analyzing results of clinical trials or studies, and evaluating clinical outcomes and treatment responses, patient identification and a priori responder selection, individualizing treatments, predicting clinical outcomes and treatment responses, and disease diagnoses and treatment determination, selection, and identification, drug, drug target, and drug combination selection and evaluation, biomarker selection, genetic analyses, omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics analyses, and accessing, processing, and analyzing omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics data, and in the medical field, biomedical field, healthcare field, pharmaceutical field, and biotechnological field; research and development in clinical trials or studies, designing clinical trials or studies, enriching and enhancing clinical trial or study designs, de-risking clinical trial or study designs, clinical trials simulations, clinical endpoint selection, analyzing non-clinical data, preclinical data, and clinical data, analyzing results of clinical trials or studies, and evaluating clinical outcomes and treatment responses, patient identification and a priori responder selection, individualizing treatments, predicting clinical outcomes and treatment responses, and disease diagnoses and treatment determination, selection, and identification, drug, drug target, and drug combination selection and evaluation, biomarker selection, genetic analyses, omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics analyses, and accessing, processing, and analyzing omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics data, and in the medical field, biomedical field, healthcare field, pharmaceutical field, and biotechnological field using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation; performing clinical trials or studies, designing clinical trials or studies, enriching and enhancing clinical trial or study designs, de-risking clinical trial or study designs, clinical trials simulations, clinical endpoint selection, analyzing non-clinical data, preclinical data, and clinical data, analyzing results of clinical trials or studies, and evaluating clinical outcomes and treatment responses, patient identification and a priori responder selection, individualizing treatments, predicting clinical outcomes and treatment responses, and disease diagnoses and treatment determination, selection, and identification, drug, drug target, and drug combination selection and evaluation, biomarker selection, genetic analyses, omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics analyses, and accessing, processing, and analyzing omics, multiomics, genomics, transcriptomics, proteomics, lipidomics, and metabolomics data, and services in the medical field, biomedical field, healthcare field, pharmaceutical field, and biotechnological field using artificial intelligence, machine learning, supervised machine learning, unsupervised machine learning, deep learning, statistical learning, data mining, big data analytics, predictive analytics, predictive modeling, multivariate analytics, precision medicine, bioinformatics, modeling, and simulation for others (term considered too vague by the International Bureau - Rule 13 (2) (b) of the Regulations).;

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Andamento do processo no INPI

3 despacho(s) publicado(s) na Revista da Propriedade Industrial.

09/08/2022 Arquivamento definitivo de designação por falta de cumprimento de exigência de mérito código IPAS773 · RPI 2692
03/05/2022 Exigência de mérito em designação <b>Detalhes do despacho: </b>Os itens ?serviços de consulta e consultoria relacionados a experimentos ou estudos clínicos, concepção de experimentos ou estudos clínicos, enriquecimento e aprimoramento de concepções de ensaios ou estudos clínicos, concepções de ensaios ou estudos clínicos de redução de risco, ensaios e simulações clínicos, seleção de endopoint clínico, análise de dados não clínicos, dados pré-clínicos e dados clínicos, análise de resultados de experimentos ou estudos clínicos e avaliação de resultados clínicos e respostas a tratamentos, identificação de pacientes e uma seleção a priori de respondentes, individualização de tratamentos, previsão de resultados clínicos e respostas ao tratamento, determinação, seleção e identificação de diagnósticos e tratamento de doenças, seleção e avaliação de medicamentos, medicamentos-alvo e combinação de medicamentos, seleção de biomarcadores, análises genéticas, ômicos, multiômica, genômica, transcriptômica, proteômica, lipidômica e análises metabolômica e acesso, processamento e análise de ômicas, multiômica, genômica, transcriptômica, proteômica, lipidômica e dados metabolômicos e na área médica, área biomédica, área de saúde, área farmacêutica e área biotecnológica utilizando inteligência artificial, aprendizado de máquinas, aprendizado de máquina supervisionado, aprendizado de máquina não supervisionado, aprendizado profundo, aprendizado estatístico, mineração de dados, análise de big data, análise preditiva, modelagem preditiva, análise multivariada, medicina de precisão, bioinformática, modelagem e simulação? e ?realização de experimentos ou estudos clínicos, concepção de experimentos ou estudos clínicos, enriquecimento e aprimoramento de concepções de ensaios ou estudos clínicos, concepções de ensaios ou estudos clínicos de redução de risco, ensaios e simulações clínicos, seleção de endopoint clínico, análise de dados não clínicos, dados pré-clínicos e dados clínicos, análise de resultados de experimentos ou estudos clínicos e avaliação de resultados clínicos e respostas a tratamentos, identificação de pacientes e uma seleção a priori de respondentes, individualização de tratamentos, previsão de resultados clínicos e respostas ao tratamento, determinação, seleção e identificação de diagnósticos e tratamento de doenças, seleção e avaliação de medicamentos, medicamentos-alvo e combinação de medicamentos, seleção de biomarcadores, análises genéticas, ômicos, multiômica, genômica, transcriptômica, proteômica, lipidômica e análises metabolômica e acesso, processamento e análise de ômicas, multiômica, genômica, transcriptômica, proteômica, lipidômica e dados metabolômicos e serviços na área médica, área biomédica, área de saúde, área farmacêutica e área biotecnológica utilizando inteligência artificial, aprendizado de máquinas, aprendizado de máquina supervisionado, aprendizado de máquina não supervisionado, aprendizado profundo, aprendizado estatístico, mineração de dados, análise de big data, análise preditiva, modelagem preditiva, análise multivariada, medicina de precisão, bioinformática, modelagem e simulação para terceiros? na classe NCL(11) 42 são genéricos para fins de classificação, uma vez que podem incluir serviços pertencentes a classes distintas. Reapresente a especificação do pedido restringindo os referidos itens de forma que estejam adequados à classe reivindicada. O cumprimento de exigência deverá ser realizado observando a edição da Classificação Internacional de Nice (NCL) em vigor na data de depósito do pedido e não poderá ampliar o escopo dos produtos inicialmente reivindicados. Para referência, consulte a lista de produtos e serviços na página oficial do INPI, em Classificação de Produtos e Serviços. código IPAS772 · RPI 2678
27/07/2021 Publicação de pedido de registro para oposição (exame formal de designação concluído) código IPAS756 · RPI 2638