Impact of AI on Healthcare:
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Adoption of AI in Genomics:
The increase in AI or artificial intelligence adoption in the healthcare sector has transformed the capabilities of healthcare treatment offered to patients. Implementing AI techniques in genomic medicine offers many opportunities for the growth of genomic medicine. The AI techniques, machine learning, and deep learning utilized in genomic medicine offer new computational approaches to optimize the efficiency of major analytical challenges in genomic medicine. The AI techniques improve the genomic variation to health and disease and accelerate discovery in genomic medicine. (Source: PHG Foundation). In September 2023, Deep Genomic utilized the advanced AI foundation model Big RNA for the discovery of RNA biology and therapeutics. The utilization of the BigRNA AI model accurately predicts the effects of variant and candidate therapeutics.
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Impact of AI-assisted surgeries:
Healthcare companies are increasingly adopting AI-assisted robotic surgeries for cancer treatments, and neurological surgery. AI has the potential to increase the precision of neurosurgery diagnosis and treatment as neurosurgeons utilize AI to access useful tools for pre-, intra-, and postoperative care. According to the Harvard School of Public Health, the utilization of AI ensures accurate diagnosis reduces the treatment cost by up to 50%, and optimizes efficiency in patient's health outcomes by 40%. The implementation of AI assists neurosurgeons in identifying the correct diagnosis of the condition and ensures accurate treatment. AI enhances the operational efficacy of neurosurgery. In August 2023, The Centre for AI and Robotics introduced AI-based robotic brain surgery in Hong Kong. The launch of an AI-based robot, a Micro Neuro, which demonstrated efficacy in removing brain tumors during the research. (Source: 2024 Informa PLC Informa UK Limited)
Conclusion
Implementing AI techniques in genomic medicine offers many opportunities for the growth of genomic medicine. Healthcare companies are increasingly adopting AI-assisted robotic surgeries for cancer treatments, and neurological surgery. The AI techniques improve the genomic variation to health and disease and accelerate discovery in genomic medicine.
Author's Detail:
Nisha Deore /
LinkedIn
I am a well-organized, conscientious, and professional Research Analyst with two plus years of experience. In my current role, I conduct in-depth secondary research, data mining, competitive analysis, DRO's, PR, and Collateral writing. Whilst I enjoy working as part of a team, researching information, analyzing data, and producing results that help my organization to achieve its commercial and financial objectives.
I am committed to continuous professional development, regularly engaging in workshops, seminars, and staying attuned to the latest industry trends. This commitment reflects my dedication to providing cutting-edge insights and staying ahead in the ever-evolving field of research. I led research initiatives aimed at uncovering market opportunities and enhancing competitive positioning. My responsibilities spanned the entire research lifecycle, from designing methodologies to presenting findings. Through collaborative efforts, I facilitated data-driven decision-making processes that contributed to the overall success of key projects.
