WO2026022850 - ARTIFICIAL INTELLIGENCE SYSTEM AND SOFTWARE AS A MEDICAL DEVICE FOR MULTI-BIOMARKER QUANTIFICATION IN CLINICAL DIAGNOSIS
National phase entry is expected:
Publication Number
WO/2026/022850
Publication Date
29.01.2026
International Application No.
PCT/IN2025/051098
International Filing Date
20.07.2025
Title **
[English]
ARTIFICIAL INTELLIGENCE SYSTEM AND SOFTWARE AS A MEDICAL DEVICE FOR MULTI-BIOMARKER QUANTIFICATION IN CLINICAL DIAGNOSIS
[French]
SYSTÈME ET LOGICIEL D'INTELLIGENCE ARTIFICIELLE EN TANT QUE DISPOSITIF MÉDICAL POUR LA QUANTIFICATION MULTI-BIOMARQUEURS EN DIAGNOSTIC CLINIQUE
Applicants **
RAO, Ujjwal
Inventors
RAO, Ujjwal
Priority Data
202421055499
20.07.2024
IN
202521069114
20.07.2025
IN
Application details
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International Searching Authority |
IP India
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Natural Person
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| 译文 |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2076 | |
| EPO | Filing, Examination, Granting | 8697 | |
| Japan | Filing, Examination, Granting | 2062 | |
| South Korea | Filing, Examination, Granting | 1971 | |
| USA | Filing, Examination, Granting | 4740 |
Total:
19,546
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Abstract[English]
An AI-powered diagnostic and prognostic system is disclosed, architected as a modular Software as a Medical Device. The system fuses patient-specific data with canonical medical knowledge to power a Recommendation Module that dynamically recommends an optimal set of diagnostic tests. An Interpretation Module then processes these multi-modal inputs, generating a single, quantifiable diagnostic metric and a transparent explanation of the result. A Prognosis Module analyzes the metric over time to forecast disease progression, providing actionable clinical outputs. The entire workflow is underpinned by a robust Compliance Module ensuring safety and regulatory adherence. A continuous Learning Loop feeds clinical outcomes back into the system, iteratively refining its AI models. This creates a holistic, trustworthy, and self-improving platform that transforms raw data into a clear diagnostic and prognostic pathway, enhancing accuracy and patient care.[French]
Est divulgué un système de diagnostic et de pronostic alimenté par IA, structuré en tant que Logiciel modulaire en tant que Dispositif Médical. Le système fusionne des données spécifiques à un patient avec une connaissance médicale canonique pour alimenter un Module de Recommandation qui recommande dynamiquement un ensemble optimal de tests de diagnostic. Un Module d'Interprétation traite ensuite ces entrées multimodales, générant une métrique de diagnostic unique quantifiable et une explication transparente du résultat. Un Module de Pronostic analyse la mesure dans le temps pour prévoir la progression d'une maladie, fournissant des sorties cliniques exploitables. L'ensemble du flux de travail est sous-piégé par un Module de Conformité robuste assurant la sécurité et l'adhésion réglementaire. Une Boucle d'Apprentissage continu fournit des résultats cliniques dans le système, en affinant de manière itérative ses modèles d'IA. Ceci crée une plateforme holistique, de confiance et d'auto-amélioration qui transforme des données brutes en une voie de diagnostic et de pronostic claire, améliorant la précision et les soins aux patients.