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Optimisation of technology transfer driven by multi-omics based research

Jai Thakor & Ashutosh Gautam

International Journal of Technology Transfer and Commercialisation2025https://doi.org/10.1504/ijttc.2025.146549article
AJG 1
Weight
0.50

What the paper says

Intellectual property (IP) and technology transfer (T2) are building blocks of research-driven organisations. T2 is the process of moving knowledge, skills, and innovations between entities, and the rise of technologies increases the priority of managing IP. Omics research is an evolving field aiming to characterise pools of biological molecules to understand the 'central dogma'. The typical setting for omics research is a collaborative environment, and T2 is essential for organisations to protect scientific findings and IP. T2 establishes a framework for cooperative research and development (R&D) between partner organisations for these projects. We review current methods of reporting work under T2 agreements for R&D and licensure. Additionally, we discuss using Technology Readiness Levels, which determine maturity of technology throughout development, to evaluate projects on software implementing artificial intelligence (AI)/machine learning (ML). TTOs should update progress reporting to utilise metrics for projects involving AI/ML, such as multi-omics.

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https://doi.org/https://doi.org/10.1504/ijttc.2025.146549

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@article{jai2025,
  title        = {{Optimisation of technology transfer driven by multi-omics based research}},
  author       = {Jai Thakor & Ashutosh Gautam},
  journal      = {International Journal of Technology Transfer and Commercialisation},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijttc.2025.146549},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.