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Boehringer Ingelheim (Germany)

Germany

21 papers here1.6k citations across 21
fields
  • quant-ph9
  • stat.AP4
  • cs.LG2
  • eess.SY2
  • cs.CV1
  • q-bio.OT1
  • q-bio.TO1
  • stat.ME1
ROR 00q32j219OpenAlex

affiliations via OpenAlex

output
20132025
most citedCommon pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

1k citations

researchers with a paper here
  • M. Degroote9 · h 18
  • Michael Streif8 · h 16
  • C. Tautermann5 · h 35
  • Nikolaj Moll5 · h 7
  • G. Anselmetti4 · h 12
  • Raffaele Santagati4 · h 10
  • R. Santagati4 · h 24
  • K. Rufibach3 · h 41
  • N. Moll3 · h 35
  • N. Rubin3 · h 48
  • N. Wiebe3 · h 60
  • R. Babbush3 · h 73
collaborating institutions
  • Roche (Switzerland)CH5 papers
  • Novartis (Switzerland)CH4 papers
  • Science Wares (United States)US4 papers
  • University of TorontoCA4 papers
  • Bayer (Germany)DE3 papers
  • Google (United States)US3 papers
  • Imperial College LondonGB3 papers
  • Pacific Northwest National LaboratoryUS3 papers
  • AstraZeneca (United Kingdom)GB2 papers
  • Boehringer Ingelheim (China)CN2 papers
  • Boehringer Ingelheim (Egypt)EG2 papers
  • Bristol-Myers Squibb (Germany)DE2 papers
Showing q-bio.TOShow all

1 paper · 1 filter

q-bio.TO2020★ 13 cited

A mechanistic framework for a priori pharmacokinetic predictions of orally inhaled drugs

Niklas Hartung, Jens Borghardt

The fate of orally inhaled drugs is determined by pulmonary pharmacokinetic (PK) processes such as particle deposition, pulmonary drug dissolution, and mucociliary clearance. Altho…

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