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researchers and clinicians can identify imaging-genomic associations that provide insights into
disease subtypes, prognosis, and potential therapeutic targets. This integration contributes to
personalized medicine approaches, where treatment decisions are guided by both imaging and
genomic information. g. Multimodal Imaging Integration: Combining MRI with other imaging
modalities, such as positron emission tomography (PET) or CT scan, further enhances diagnostic
accuracy and treatment planning. Multimodal imaging provides complementary information about
anatomical, functional, and molecular characteristics of tissues, enabling a comprehensive
assessment of disease. It facilitates the integration of different imaging biomarkers and enables a
more holistic approach to precision medicine. Conclusion: Advancements in MRI technology have
significantly enhanced diagnostic imaging capabilities and paved the way for precision medicine
approaches. The improved image quality, functional and molecular imaging techniques, AI
integration, and the ability to extract quantitative imaging biomarkers have revolutionized the field
of diagnostic imaging. MRI plays a critical role in personalized diagnosis, treatment planning,
therapeutic response monitoring, and treatment guidance. In the era of precision medicine, MRI
provides clinicians with valuable tools to tailor medical interventions based on individual patient
characteristics. The integration of genomic data, multimodal imaging, and AI-driven analysis
further expands the potential of MRI in precision medicine. As technology continues to advance,
MRI is expected to play an increasingly vital role in delivering personalized and targeted care to
patients, ultimately improving outcomes and transforming the practice of medicine.
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