WO2025083468 - STRATIFICATION METHODS FOR ASSESSING THE PROGRESSION AND RISK OF ADVANCED ADENOMA AND COLORECTAL CANCER
National phase entry is expected:
Publication Number
WO/2025/083468
Publication Date
24.04.2025
International Application No.
PCT/IB2024/000573
International Filing Date
16.10.2024
Title **
[English]
STRATIFICATION METHODS FOR ASSESSING THE PROGRESSION AND RISK OF ADVANCED ADENOMA AND COLORECTAL CANCER
[French]
MÉTHODES DE STRATIFICATION POUR ÉVALUER LA PROGRESSION ET LE RISQUE D'ADÉNOME AVANCÉ ET DE CANCER COLORECTAL
Applicants **
MAINZ BIOMED N.V.
EIDENS, Moritz
KRAMMES, Lena
VON TÖRNE, Christian
Inventors
EIDENS, Moritz
KRAMMES, Lena
VON TÖRNE, Christian
Priority Data
63/590,743
16.10.2023
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
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| Number of Office Actions | * |
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International Searching Authority |
EPO
* |
| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
* |
| Type of Assignment |
The Standard Agent's Assignment
* |
| Applicant's Legal Status |
Legal Entity
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| * | |
| * | |
| * | |
| * | |
| * | |
| Entry into National Phase under |
Chapter I
* |
| Patent Delivery |
Send the Letters Patent by Courier
* |
| 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 | 4837 | |
| EPO | Filing, Examination, Granting | 79067 | |
| Japan | Filing, Examination, Granting | 4467 | |
| South Korea | Filing, Examination, Granting | 6763 | |
| USA | Filing, Examination, Granting | 20390 |

Total:
115,524
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
The present disclosure concerns a computer-implemented method for transforming stool sample data into a diagnostic code, the method including: a) providing a stool sample from a subject; b) determining, as the stool sample data, expression levels of at least two distinct genes from a plurality of mRNA segments in the stool sample; and c) determining, by a computing system executing a machine-learning model and based on the stool sample data, a diagnostic code, wherein the machine-learning model was trained using stool diagnostic training data including a plurality of stool sample data labeled with at least one of two or more corresponding diagnostic codes.[French]
La présente divulgation concerne un procédé mis en oeuvre par ordinateur pour transformer des données d'échantillon de selles en un code de diagnostic, le procédé comprenant : a) la fourniture d'un échantillon de selles provenant d'un sujet; b) la détermination, en tant que données d'échantillon de selles, de niveaux d'expression d'au moins deux gènes distincts parmi une pluralité de segments d'ARNm dans l'échantillon de selles; et c) la détermination, par un système informatique exécutant un modèle d'apprentissage automatique et sur la base des données d'échantillon de selles, d'un code de diagnostic, le modèle d'apprentissage automatique ayant été entraîné à l'aide de données d'apprentissage de diagnostic de selles comprenant une pluralité de données d'échantillon de selles marquées avec au moins l'un d'au moins deux codes de diagnostic correspondants.