According to GlobalData’s medical device pipeline database, 36 Personalized Medicine (AI/ML Based) devices are in various stages of development globally. GlobalData’s report provides an overview of the segment’s pipeline landscape and offers detailed analysis of its products. Buy the report here.
Of these devices, 27 are in active development, while the remaining ten are in an inactive stage of development. There are 12 products in the early stages of development, and the remaining 15 are in the late stages of development.
Personalized medicine uses artificial intelligence or machine learning algorithms to deliver personalized treatment to the patients based on their unique genetic and molecular traits.
Innovations in the medical devices sector are linked to the development of new approaches, processes, or technologies for treating, diagnosing, and managing disease in response to demand from healthcare for better patient outcomes and reduce healthcare costs.
Based on an analysis of GlobalData’s Medical Intelligence Center pipeline product database, these actively developed Personalized Medicine (AI/ML Based) pipeline devices are all expected to be approved within the next ten years.
Currently, private organizations, public entities and institutions are working on the development of Personalized Medicine (AI/ML Based) devices. Overall, most of these Personalized Medicine (AI/ML Based) pipeline devices are being developed by private entities.
Key players involved in the active development of Personalized Medicine (AI/ML Based) include IncellDx, Infondrian, iPACES, Iterative Scopes, Lantern Pharma, LifeBoard Medical, Medipharm EA, National University of Singapore, Nucleai and NYU Langone Health System.
For a complete picture of the developmental pipeline for Personalized Medicine (AI/ML Based) devices, buy the report here.
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