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Extract from the Register of European Patents

EP About this file: EP4078440

EP4078440 - SYSTEMS AND METHODS FOR PREDICTING PATIENT OUTCOME TO CANCER THERAPY [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  23.09.2022
Database last updated on 20.12.2024
FormerThe international publication has been made
Status updated on  25.06.2021
Most recent event   Tooltip02.01.2024New entry: Renewal fee paid 
Applicant(s)For all designated states
Dhristi Inc.
14094 Elivra Street
Saratoga, California 95070 / US
[2022/43]
Inventor(s)01 / JAIN, Parag
14094 Elivra Street
Saratoga, California 95070 / US
02 / ROY, Rajat
14094 Elvira Street
Saratoga, California 95070 / US
03 / JAISWAL, Bijay Shankar
14094 Elivra Street
Saratoga, California 95070 / US
 [2022/43]
Representative(s)Jeck, Jonathan
JECK, FLECK & Partner mbB
Klingengasse 2
P.O.Box 14 69
71665 Vaihingen/Enz / DE
[2022/43]
Application number, filing date19956832.018.12.2019
[2022/43]
WO2019US67114
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2021126185
Date:24.06.2021
Language:EN
[2021/25]
Type: A1 Application with search report 
No.:EP4078440
Date:26.10.2022
Language:EN
The application published by WIPO in one of the EPO official languages on 24.06.2021 takes the place of the publication of the European patent application.
[2022/43]
Search report(s)International search report - published on:US24.06.2021
(Supplementary) European search report - dispatched on:EP14.03.2023
ClassificationIPC:G06T7/00, G06T7/10
[2023/15]
CPC:
G06T7/0014 (EP,US); G06F18/23 (EP); G06F18/24133 (EP);
G06V10/25 (EP,US); G06V10/82 (EP,US); G06V20/695 (EP,US);
G06V20/698 (EP,US); G06T2207/10024 (EP); G06T2207/10064 (EP);
G06T2207/20081 (EP); G06T2207/20084 (EP); G06T2207/30024 (EP);
G06T2207/30096 (EP); G06V2201/03 (EP) (-)
Former IPC [2022/43]G06K9/20, G06K9/36, G06T7/00, G06T7/10
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2022/43]
TitleGerman:SYSTEME UND VERFAHREN ZUR VORHERSAGE DES PATIENTENERGEBNISSES ZUR KREBSTHERAPIE[2022/43]
English:SYSTEMS AND METHODS FOR PREDICTING PATIENT OUTCOME TO CANCER THERAPY[2022/43]
French:SYSTÈMES ET PROCÉDÉS DE PRÉDICTION DE RÉSULTAT DE PATIENT POUR UN TRAITEMENT DU CANCER[2022/43]
Entry into regional phase18.07.2022National basic fee paid 
18.07.2022Search fee paid 
18.07.2022Designation fee(s) paid 
18.07.2022Examination fee paid 
Examination procedure18.07.2022Examination requested  [2022/43]
10.10.2023Amendment by applicant (claims and/or description)
10.10.2023Date on which the examining division has become responsible
Fees paidRenewal fee
18.07.2022Renewal fee patent year 03
05.12.2022Renewal fee patent year 04
02.01.2024Renewal fee patent year 05
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Documents cited:Search[XAI]  - ZHU XINLIANG ET AL, "WSISA: Making Survival Prediction from Whole Slide Histopathological Images", 2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE COMPUTER SOCIETY, US, doi:10.1109/CVPR.2017.725, ISSN 1063-6919, (20170721), pages 6855 - 6863, (20171106), XP033250051 [X] 1,3,5,7,11,12,14 * page 7234 - page 7238 * [A] 2,8-10 [I] 4,6,13,15

DOI:   http://dx.doi.org/10.1109/CVPR.2017.725
International search[A]US2008082468  (LONG XI [US], et al) [A] 1-20 * entire document *;
 [A]US2009035766  (KHAN JAVED [US], et al) [A] 1-20 * entire document *;
 [A]US2014193062  (ZHUKOV TATYANA A [US], et al) [A] 1-20 * entire document *;
 [A]US2014314286  (MADABHUSHI ANANT [US], et al) [A] 1-20 * entire document *;
 [A]  - Abbob M.F., Catto J.W.F., Chen M., Linkens D.A., Hamdy F.C., "Artificial Intelligence in Predicting Bladder Cancer Outcome", Clinical Cancer Research, AACR journals, (20140401), doi:10.4015/S1016237204000098, pages 49 - 58, XP055837065 [A] 1-20 * entire document *

DOI:   http://dx.doi.org/10.4015/S1016237204000098
 [A]  - Xingzhi Yue; Neofytos Dimitriou; Ognjen Arandjelovic, "Colorectal Cancer Outcome Prediction from H&E Whole Slide Images using Machine Learning and Automatically Inferred Phenotype Profiles", arXiv.org, 201 Olin Library Cornell University Ithaca, NY 14853 , (20190210), XP081027379 [A] 1-20 * entire document *
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.