Concepedia

Data-driven Bioprocess Modeling

Data-Driven Bioprocess Modeling is a modeling approach that belongs to the genus of bioprocess modeling methods and is differentiated by its reliance on empirical data, often high-dimensional and dynamic, to infer, calibrate, or validate process behavior without requiring full mechanistic understanding of the underlying biological systems.

74

Publications

2.9K

Citations

278

Authors

103

Institutions

Publications per year

2017–2026

45

Parents

Publications

74

Data to intelligence: The role of data-driven models in wastewater treatment

Majid Bahramian, Recep Kaan Dereli, Wanqing Zhao et al. · Expert Systems with Applications · 2022 · 160 citations · Full text

, , +14

A new generation of predictive models: The added value of hybrid models for manufacturing processes of therapeutic proteins

Harini Narayanan, Michael Sokolov, Massimo Morbidelli et al. · Biotechnology and Bioengineering · 2019 · 119 citations

, , +15

Model Building and Model Checking for Biochemical Processes

Marco Antoniotti, Alberto Policriti, Nadia Ugel et al. · Cell Biochemistry and Biophysics · 2003 · 109 citations · Full text

, , +15

Hybrid modeling for quality by design and PAT‐benefits and challenges of applications in biopharmaceutical industry

Moritz von Stosch, Steven Davy, Kjell François et al. · Biotechnology Journal · 2014 · 102 citations

, , +11

Moving towards an era of hybrid modelling: advantages and challenges of coupling mechanistic and data-driven models for upstream pharmaceutical bioprocesses

Apostolos Tsopanoglou, Ioscani Jiménez del Val · Current Opinion in Chemical Engineering · 2021 · 99 citations · Full text

, , +17

1–5 of 74

Authors

278

  1. MS
    Michael Sokolov

    ETH Zurich, Switzerland

    6 publications · 316 citations

    6

    h-index

  2. AB
    Alessandro Butté

    ETH Zurich, Switzerland

    6 publications · 303 citations

    6

    h-index

  3. HN
    Harini Narayanan

    ETH Zurich, Switzerland

    6 publications · 297 citations

    6

    h-index

  4. MM
    Massimo Morbidelli

    ETH Zurich, Switzerland

    5 publications · 288 citations

    5

    h-index

  5. DZ
    Dongda Zhang

    University of Manchester, United Kingdom

    4 publications · 187 citations

    4

    h-index

1–5 of 278

Institutions

103

  1. Newcastle University

    Newcastle upon Tyne, United Kingdom

    6 h-index

    13 publications

    835 citations

  2. ETH Zurich

    Zurich, Switzerland

    5 h-index

    16 publications

    914 citations

  3. Tufts University

    Medford, United States

    4 h-index

    7 publications

    227 citations

  4. TU Wien

    Vienna, Austria

    4 h-index

    8 publications

    218 citations

  5. Swiss Data Science Center

    Zurich, Switzerland

    4 h-index

    14 publications

    839 citations

  6. University of Manchester

    Manchester, United Kingdom

    4 h-index

    9 publications

    439 citations

  7. Imperial College London

    London, United Kingdom

    4 h-index

    6 publications

    258 citations

  8. Xiamen University

    Xiamen, China

    3 h-index

    6 publications

    269 citations

1–8 of 103

Venues

  1. Biotechnology and Bioengineering

    7 publications · 357 citations

    7

    h-index

  2. Industrial & Engineering Chemistry Research

    6 publications · 250 citations

    6

    h-index

  3. Biotechnology Progress

    5 publications · 211 citations

    5

    h-index

  4. Computers & Chemical Engineering

    5 publications · 202 citations

    5

    h-index

  5. Biotechnology Journal

    4 publications · 226 citations

    4

    h-index

1–5