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Extract from the Register of European Patents

EP About this file: EP3786977

EP3786977 - COMPUTER-IMPLEMENTED METHOD AND ELECTRONIC SYSTEM FOR FORECASTING A DISCONNECTION TIME POINT [Right-click to bookmark this link]
StatusThe application has been withdrawn
Status updated on  03.09.2021
Database last updated on 02.09.2024
FormerThe application has been published
Status updated on  29.01.2021
Most recent event   Tooltip03.09.2021Withdrawal of applicationpublished on 06.10.2021  [2021/40]
Applicant(s)For all designated states
WPmed GbR
Neuhauser Straße 3
80331 München / DE
[2021/09]
Inventor(s)01 / Pressmar, Oliver
Neuhauser Straße 3
80331 München / DE
02 / Weissenbacher, Ernst-Rainer
Herzogspitalstraße 20
80331 München / DE
 [2021/09]
Representative(s)Grünecker Patent- und Rechtsanwälte PartG mbB
Leopoldstraße 4
80802 München / DE
[2021/09]
Application number, filing date19194299.429.08.2019
[2021/09]
Filing languageDE
Procedural languageDE
PublicationType: A1 Application with search report 
No.:EP3786977
Date:03.03.2021
Language:DE
[2021/09]
Search report(s)(Supplementary) European search report - dispatched on:EP13.02.2020
ClassificationIPC:G16H50/20
[2021/09]
CPC:
G16H50/20 (EP,US); A61B5/4343 (US); A61B5/7275 (US)
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 [2021/09]
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:COMPUTERIMPLEMENTIERTES VERFAHREN UND ELEKTRONISCHES SYSTEM ZUR PROGNOSE EINES ENTBINDUNGSZEITPUNKTS[2021/09]
English:COMPUTER-IMPLEMENTED METHOD AND ELECTRONIC SYSTEM FOR FORECASTING A DISCONNECTION TIME POINT[2021/09]
French:PROCÉDÉ MIS EN UVRE PAR ORDINATEUR ET SYSTÈME ÉLECTRONIQUE PERMETTANT DE PRÉVOIR UN MOMENT D'ACCOUCHEMENT[2021/09]
Examination procedure30.08.2021Application withdrawn by applicant  [2021/40]
Fees paidRenewal fee
26.08.2021Renewal fee patent year 03
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Documents cited:Search[I]US2014287948  (BONIFACE JOHN JAY [US], et al) [I] 1-15 * paragraphs [0100] - [0102] - [0 43] - [0045] - [0 11] , [0 56] *;
 [I]WO2016205723  (SERA PROGNOSTICS INC [GB]) [I] 1-15 * paragraphs [0156] , [ 262] , [ 180] , [ 182] , [ 298] , [ 163] , [ 193] , [ 341]; figure 1 *;
 [I]WO2019036032  (SERA PROGNOSTICS INC [US]) [I] 1-15 * paragraphs [0005] , [00 6] , [ 103] - [0109] - [ 192] *;
 [A]WO2019068092  (UNIV CALIFORNIA [US], et al) [A] 1-15 * the whole document *;
 [A]  - WEBER ANN ET AL, "Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women", ANNALS OF EPIDEMIOLOGY, ELSEVIER SCIENCE PUBLISHING, NEW YORK, NY, US, (20180824), vol. 28, no. 11, doi:10.1016/J.ANNEPIDEM.2018.08.008, ISSN 1047-2797, page 783, XP085523200 [A] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1016/j.annepidem.2018.08.008
 [A]  - "THE INTERNATIONAL MARCÉ SOCIETY FOR PERINATAL MENTAL HEALTH BIENNIAL SCIENTIFIC CONFERENCE", ARCHIVES OF WOMEN'S MENTAL HEALTH, SPRINGER VIENNA, VIENNA, vol. 18, no. 2, doi:10.1007/S00737-014-0488-6, ISSN 1434-1816, (20150215), pages 269 - 408, (20150215), XP035471907 [A] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1007/s00737-014-0488-6
by applicantEP0648335
 US2007015285
 JP2007068839
 JP2009045155
 WO2016131630
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