Work overview

Section 09 of 09

CONCLUSION

Transforming Cancer Care: Genomic Profiling, AI, and Next-Generation Drug Delivery Systems

Kaushal Aggarwal, Priya Jindal, AkashVikal, Preeti Patel, and Balak Das Kurmi · 2026

Contents

Section 09 of 09

  1. 01INTRODUCTION
  2. 02TUMOR EVOLUTION AND GENOMIC HETEROGENEITY
  3. 03LIQUID BIOPSY
  4. 04IMMUNOGENOMICS
  5. 05MACHINE LEARNING IN GENOMIC DATA ANALYSIS
  6. 06THERAPEUTIC DELIVERY IN GENOMIC CANCER CARE
  7. 07ETHICAL AND SOCIAL IMPLICATIONS
  8. 08FUTURE DIRECTIONS
  9. 09CONCLUSION
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Work overview

Section 9 of 9

CONCLUSION

Kaushal Aggarwal, Priya Jindal, AkashVikal, Preeti Patel, and Balak Das Kurmi · about 1 minutes

The evolution of cancer genomics, rooted in historical discoveries, has led to significant advancements in understanding and treating cancer. Genomic technologies, liquid biopsy, immunogenomics, ML, and targeted therapies have reshaped cancer research and care. Challenges such as intratumor heterogeneity persist, but promising developments, including combination therapies, are emerging. Ethical considerations in genetic information use and the societal impact of genomics require ongoing attention. As we navigate this dynamic landscape, interdisciplinary collaboration and ethical reflection will be crucial for realizing the full potential of genomic healthcare in cancer.