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IMPERIAL COLLEGE SCI TECH & MEDICINE

Overview
  • Total Patents
    193
  • GoodIP Patent Rank
    7,625
  • Filing trend
    ⇧ 105.0%
About

IMPERIAL COLLEGE SCI TECH & MEDICINE has a total of 193 patent applications. It increased the IP activity by 105.0%. Its first patent ever was published in 2003. It filed its patents most often in WIPO (World Intellectual Property Organization), EPO (European Patent Office) and United States. Its main competitors in its focus markets computer technology, biotechnology and pharmaceuticals are GAUSS SURGICAL INC, ARIEMEDI TECH SHIJIAZHUANG CO LTD and ENNOVA HEALTH TECH CO LTD.

Patent filings per year

Chart showing IMPERIAL COLLEGE SCI TECH & MEDICINEs patent filings per year from 1900 to 2020

Top inventors

# Name Total Patents
#1 Leutenegger Stefan 23
#2 Davison Andrew 21
#3 Stefan Leutenegger 10
#4 Georgiou Pantelis 10
#5 Andrew Davison 8
#6 Lukierski Robert 7
#7 Hammond Andrew 6
#8 Crisanti Andrea 6
#9 Rotolo Antonia 5
#10 Bloesch Michael 5

Latest patents

Publication Filing date Title
GB202005526D0 MAP4K4 inhibitors
GB202005525D0 MAP4K4 inhibitors
GB202004672D0 Image processing system and method
GB202004673D0 Image processing system and method
WO2020070519A1 Method for detecting adverse cardiac events
GB201914359D0 Screening prior to cardiothoracic surgery
GB201912889D0 Scene representation using image processing
GB201902600D0 Scene representation using image processing
GB201902338D0 Image processing to determine object thickness
GB201901006D0 Mapping an environment using a state of a robotic device
GB201901007D0 Depth estimation
GB201821129D0 A sensor
GB201818737D0 Red palm weevil larva detection
EP3694866A1 Map4k4 inhibitors
GB201815431D0 Task embedding for device control
GB201814649D0 Image processing methods
GB201813353D0 Joint source channel coding of information sources using neural networks
GB201813354D0 Joint source channel coding based on channel capacity using neural networks
GB201813351D0 Joint source channel coding for noisy channels using neural networks
GB201813197D0 Mapping object instances using video data