New blog post on the intersection of clinical genomics and artificial intelligence
Grant M. Wood, FHL7
Technology Executive in Clinical Genomics * Business, IT Strategy * Board member
The Genomic AI Coalition (GACT) is a proposed industry coalition that aims to promote innovation through ecosystem-building, specifically by applying AI and machine learning to the research, clinical, consumer, data, public health, and national initiative worlds. The formation of GACT has become essential in the global market for clinical genomics, which is projected to experience significant growth over the next five years. The GACT will function based on a set of clear operating principles that guide the strategic interests and core values of the coalition, including transparency for the healthcare consumer.
Artificial Intelligence and Machine Learning in Genomics (AI/ML-Gen) can speed up research and improve the accuracy of the data analysis process, expand the ability to analyze whole genome sequencing, and solve key clinical trial challenges. The benefits of intelligent AI/ML-Gen tools in various clinical applications are numerous, enhancing the process of clinical translation by covering a wide range of use cases such as disease prediction, quicker and more accurate diagnosis, and patient quality analysis, among others.
Incorporating AI and genomics in patient and consumer health applications provides personalized health recommendations and management by analyzing an individual's genomic data to create tailored wellness plans. AI/ML-Gen tools will also advance genomic-related population research in public health, national initiatives, and global implementations.
GACT members could cover a wide range of stakeholders, including established and emerging technology companies, healthcare systems and providers, physician specialty organizations, genomic sequencing labs, health insurance payers, and venture capital groups.
See the new post at https://genomics.network/genomics-ai-coalition-gact/, and read the in-depth perspective report for the details of forming the GACT.
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1 年According to a recent report, the global NGS data analysis market is ?????????????????? ???? ?????????? ??????????????, which is predicted to grow by nearly?40%?in the future. ???????? ????????????????: https://tinyurl.com/NGS-Data-Analysis-report NGS (Next-Generation Sequencing) Data Analysis plays a crucial role in extracting meaningful insights from vast amounts of genetic data, revolutionizing genomics research and personalized medicine. By analyzing DNA sequences, gene expression patterns, and genetic variations, researchers can uncover disease mechanisms, identify potential drug targets, and develop personalized treatment plans.