Modern cancer care benefits from technology integration because it enhances medical diagnosis and treatment as well as research development that results in early detection and the creation of customized therapies and new treatment approaches. The improved PET scans, MRI procedures, and radiology techniques by AI systems result in more accurate identification of early cancer development. Using liquid biopsies combined with next-generation sequencing is a molecular diagnostic method to detect genetic variations so physicians can develop targeted treatment approaches. Artificial intelligence (AI) utilizes complex medical data to develop treatment predictions when assisting pathologists with their work. Implementing nanotechnology improves drug delivery systems that enhance chemotherapy performance and minimize chemotherapy-associated negative effects. The CRISPR gene editing method creates novel prospects through gene modifications to cancer triggers alongside new treatment innovations. Telemedicine solutions and predictive modeling techniques for risk assessments and AI in drug discovery will become standard practices in the upcoming years. The advancement of scientific knowledge gives us reason to believe that improved treatment methods and a definite solution will eventually emerge. Technology development continues to be necessary for cancer therapy transformation despite existing challenges regarding expense and moral issues.

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Advancing Cancer Care Through Technology in Diagnosis, Treatment, and Research

  • Janhvi Shirbhate,
  • Deepak S. Sharma

摘要

Modern cancer care benefits from technology integration because it enhances medical diagnosis and treatment as well as research development that results in early detection and the creation of customized therapies and new treatment approaches. The improved PET scans, MRI procedures, and radiology techniques by AI systems result in more accurate identification of early cancer development. Using liquid biopsies combined with next-generation sequencing is a molecular diagnostic method to detect genetic variations so physicians can develop targeted treatment approaches. Artificial intelligence (AI) utilizes complex medical data to develop treatment predictions when assisting pathologists with their work. Implementing nanotechnology improves drug delivery systems that enhance chemotherapy performance and minimize chemotherapy-associated negative effects. The CRISPR gene editing method creates novel prospects through gene modifications to cancer triggers alongside new treatment innovations. Telemedicine solutions and predictive modeling techniques for risk assessments and AI in drug discovery will become standard practices in the upcoming years. The advancement of scientific knowledge gives us reason to believe that improved treatment methods and a definite solution will eventually emerge. Technology development continues to be necessary for cancer therapy transformation despite existing challenges regarding expense and moral issues.