Literature DB >> 34024649

From Innovation to Application: Bridging the Valley of Death in Industrial Biotechnology.

Linde F C Kampers1, Enrique Asin-Garcia1, Peter J Schaap1, Annemarie Wagemakers2, Vitor A P Martins Dos Santos3.   

Abstract

Few biotechnology innovations make it through the Valley of Death to markets. Based on our experience with academia, technology transfer offices, and industry, we provide insights into differences in operating levels, how to best traverse the Valley of Death, and ways to foster more innovation towards market implementation.
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Valley of Death; academia; in-depth explorative inquiry; industry

Mesh：

Year:  2021        PMID： 34024649     DOI： 10.1016/j.tibtech.2021.04.010

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN： 0167-7799            Impact factor:   19.536


  6 in total

1.  Launching a CDMO in Brazil aiming to develop biopharmaceuticals for clinical trials.

Authors:  Rui Seabra Ferreira; Marcelo Marcos Morales; Pasqual Barretti; Benedito Barraviera
Journal:  J Venom Anim Toxins Incl Trop Dis       Date:  2022-06-06

Review 2.  Nanotechnology from lab to industry - a look at current trends.

Authors:  Theresa Rambaran; Romana Schirhagl
Journal:  Nanoscale Adv       Date:  2022-08-01

Review 3.  Designing Microbial Cell Factories for the Production of Chemicals.

Authors:  Jae Sung Cho; Gi Bae Kim; Hyunmin Eun; Cheon Woo Moon; Sang Yup Lee
Journal:  JACS Au       Date:  2022-08-04

Review 4.  Expectations for Artificial Intelligence (AI) in Psychiatry.

Authors:  Scott Monteith; Tasha Glenn; John Geddes; Peter C Whybrow; Eric Achtyes; Michael Bauer
Journal:  Curr Psychiatry Rep       Date:  2022-10-10       Impact factor: 8.081

5.  Changes in Oxygen Availability during Glucose-Limited Chemostat Cultivations of Penicillium chrysogenum Lead to Rapid Metabolite, Flux and Productivity Responses.

Authors:  Qi Yang; Wenli Lin; Jiawei Xu; Nan Guo; Jiachen Zhao; Gaoya Wang; Yongbo Wang; Ju Chu; Guan Wang
Journal:  Metabolites       Date:  2022-01-07

6.  Enzyme-constrained models predict the dynamics of Saccharomyces cerevisiae growth in continuous, batch and fed-batch bioreactors.

Authors:  Sara Moreno-Paz; Joep Schmitz; Vitor A P Martins Dos Santos; Maria Suarez-Diez
Journal:  Microb Biotechnol       Date:  2022-01-20       Impact factor: 6.575
  6 in total

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