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DIFF Main Group
G16B 40/00

ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding

Introduced: January 2019

IPC and CPC are identically structured here. All 3 subcodes exist in both systems.

IPC defines codes here since 2019.

Child Classifications

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  • G16B 40/10 Signal processing, e.g. from mass spectrometry [MS] or from PCR since 2019 IPC+CPC Available in IPC and CPC
  • G16B 40/20 Supervised data analysis since 2019 IPC+CPC Available in IPC and CPC
  • G16B 40/30 Unsupervised data analysis since 2019 IPC+CPC Available in IPC and CPC

Top Applicants

Top Applicants (IPC)

Class G16,2013–2023, worldwide · Source: EPO PATSTAT

  1. PHILIPS ELECTRONICS NL 4,707
  2. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 1,767
  3. SAMSUNG ELECTRONICS COMPANY KR 1,458
  4. CHINESE ACADEMY OF SCIENCES 1,144
  5. ILLUMINA US 1,097
  6. SIEMENS HEALTHCARE DE 1,074
  7. PHILIPS ELECTRONICS 1,026
  8. FUJIFILM JP 990
  9. PING AN TECHNOLOGY COMPANY 892
  10. ROCHE CH 864

Top Applicants (CPC)

Class G16,2013–2023, worldwide · Source: EPO PATSTAT

  1. PHILIPS ELECTRONICS NL 7,379
  2. SAMSUNG ELECTRONICS COMPANY KR 2,740
  3. IBM (INTERNATIONAL BUSINESS MACHINES CORPORATION) US 2,388
  4. PHILIPS ELECTRONICS 1,849
  5. SIEMENS HEALTHCARE DE 1,697
  6. FUJIFILM JP 1,618
  7. ILLUMINA US 1,335
  8. ROCHE CH 1,264
  9. UNIVERSITY OF CALIFORNIA US 1,181
  10. DEXCOM US 1,150