Life Science, Health, and Wellness Technology: How will AI and Machine Learning Algorithms Open New Growth Avenues?
Research Overview
This edition of the Life Science, Health & Wellness Technology Opportunity Engine (TOE) focuses on innovations that leverage artificial intelligence (AI) and machine learning (ML) algorithms for diagnostics and drug discovery applications. Innovations around AI and ML augmented diagnostics have been highlighted, which include molecular diagnostics, both PoC immunoassays, image-based diagnostics and molecular diagnostics. In particular, technologies, which enable early diagnosis of cancers, support biomarker discovery and disease prognosis have been covered. Another focus of this issue is on predictive genetic tests, which offer a comprehensive picture of an individual’s risk of disease development. Many of the innovations covered in this issue support biomarker discovery and novel therapeutics development. Microbiome diagnostics and innovation around a biocompatible integrated regenerative medicine platform are some of the other interesting innovations captured in this issue.
The Life Science, Health & Wellness TOE will feature disruptive technology advances in the global life sciences industry. The technologies and innovations profiled will encompass developments across genetic engineering, drug discovery and development, biomarkers, tissue engineering, synthetic biology, microbiome, disease management, as well as health and wellness among several other platforms.
The Health & Wellness cluster tracks developments in a myriad of areas including genetic engineering, regenerative medicine, drug discovery and development, nanomedicine, nutrition, cosmetic procedures, pain and disease management and therapies, drug delivery, personalized medicine, and smart healthcare.
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