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YC shift: MNM research also showed that the major customer segments such as pharma and life sciences companies are facing a growing need for digital transformation to boost their R&D productivity. This will lead to increasing deployment of AI and cloud-based products, fuelling growth for the client’s translational R&D DSS. Customers' needs were also shifting towards solutions offering multiple modalities, but the market was fragmented with the presence of many small and mid-sized players focusing on single modality solutions. Thus, our analysis showed that our client could beat its competitors by offering holistic, multimodality solutions, which execute all functionalities.

Interconnections: Biomarker discovery for various disease indications, e.g. cardiovascular disorders, neurological disorders, etc is being executed using translational R&D DSS – making it attractive for the client apart from conventional oncology applications.

Unknown: Different functionalities of the product such as data aggregation can be managed using blockchain technology. Further, increased incorporation of big data technology in translational R&D DSS could also be a game-changer for product development, particularly in drug discovery and clinical research involving real-world patient data and other data sets.

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