This analysis demonstrates how bioinformatics and AI improve cancer diagnostics, suggesting enhanced outcomes in oncology.
The growing usage of nanotechnology has left a great impact on oncology by increasing efficiency and flexibility with patients and cancer types. Previous research has proven new ways to utilize nanotechnology to assist in diagnostics and treatment. AI and ML, Biomarkers, and biomedical engineering of biopsies and other forms of diagnosis have been made to aid in treating large populations. These new forms of cancer research are being implemented by more researchers and medical professionals, and have the potential to be used globally to decrease the mortality rate of cancer. This publication will focus on the adaptations of artificial intelligence, usages of biomarkers, implementations of nano and biotechnology, the ability to target and treat cancer, and point-of-care diagnostics to study the global impact of interventions of cancer.
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Avyukta Tatta (2024) studied this question.
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