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A Theoretical Framework for Quantifying Tumour Resistance to Standardized Treatments: A Novel Rudimentary Scalar Mathematical Model with Implications for Breast Cancer Prognosis and Treatment

2026-01-15

Abstract excerpt

<h4>Background</h4> Precision oncology relies heavily on genomic profiling and artificial intelligence to predict therapeutic response in breast cancer. However, in low-to-middle-income countries (LMICs), these expensive modalities are inaccessible; forcing clinicians to rely on qualitative TNM staging that often fails to capture individual tumour heterogeneity. There is a critical unmet need fory “frugal innovat...

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Literature Corpus work
19f1a74e-e67f-5cce-99cb-da9cbf676875
DOI
10.64898/2026.01.12.26343951
Open publication

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A Theoretical Framework for Quantifying Tumour Resistance to Standardized Treatments: A Novel Rudimentary Scalar Mathematical Model with Implications for Breast Cancer Prognosis and TreatmentDOI 10.64898/2026.01.12.26343951
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