A fundamental change is taking place in regard to the medical genetic examination for the purposes of disease diagnosis, treatment, or prevention. Genetic testing industry is expected to grow at a CAGR of 12% by 2030. Techniques such as AI-enabled genomic analysis and NGS innovations have rekindled the focus on medicine, along with the many developments these technologies are generating in the field.
Changes in the NGS Technology Progression
Genetic changes powered by NGS have resulted in significant advancements in the physical cost, speed, and accuracy of genetic tests. The cases selected on a nationally representative basis also provide the tailoring ability to diagnose risk diseases and aid in modifying the treatment for genetic rare diseases.
Genomic AI and machine learning
The application of AI technology in genomic studies has transformed the interpretation and measurement of data achieved during genetic testing and has effectively modernized the speed and precision of the conducted analysis. Machine learning plays a vital role in not only mutation detection and predicting diseases but also in the development of the treatment strategies targeting modifying risks of diseases.
Trends in the market of Direct-to-Consumer Genetic Testing
An inclination towards direct-to-consumer DNA testing is clearly evident as suppliers begin selling sensitive genetic data to the masses. New enterprises have come up with genetic testing kits that can provide insights about an individual's lineage and predisposed diseases and can also offer tailored preventive healthcare strategies while creating a paradox of morality and benefit.
