Therapeutic Strategies Combining Surgery and Targeted Care
A key driver of the BRICS cancer chemotherapy market is the increasing adoption of multimodal treatment strategies that integrate chemotherapy with surgery, radiation therapy, and targeted therapies. Chemotherapy is commonly administered in the neoadjuvant setting to shrink tumors before surgery, particularly in breast, colorectal, and gastric cancers, improving surgical outcomes and reducing residual disease. Chemotherapy is also an important component of adjuvant therapy, where it is used post‑surgery to eradicate microscopic disease and reduce the risk of recurrence.
In combination with radiation therapy, chemotherapy acts as a radiosensitizer, enhancing tumor cell susceptibility to radiation‑induced damage. This approach is widely employed in locally advanced cancers including lung, head and neck, cervical, and gastrointestinal malignancies across BRICS countries. Furthermore, chemotherapy remains a core element in combination regimens with targeted therapies and immunotherapy, particularly in advanced and metastatic cancers, where combinations can improve survival outcomes and overcome resistance mechanisms. The continued evolution of clinical practices and inclusion of combination protocols in national and institutional guidelines drives sustained chemotherapy utilization.
Personalized Chemotherapy Design and Dosing Using AI
Artificial Intelligence (AI) enables personalized chemotherapy regimens and optimized dose management. Traditional chemotherapy regimens often follow standardized protocols based on tumor type and stage, potentially overlooking patient‑specific variables such as genetic profiles, metabolism, and treatment response patterns. AI tools can integrate clinical, genomic, imaging, and longitudinal treatment data to predict individual responses and personalize chemotherapy dosing and combinations.
In China and India where digital health and electronic medical records infrastructure are rapidly expanding AI‑based decision support systems are being piloted in major cancer centers to assist oncology teams with chemotherapy planning, adverse event forecasting, and regimen optimization. Predictive analytics support adaptive dosing adjustments throughout the treatment course, improving efficacy and reducing toxicity. AI also enhances clinical trial design by identifying ideal patient cohorts and potential biomarkers that predict chemotherapy responsiveness. Across BRICS countries, ongoing investments in health IT, interoperability, and workforce training will further accelerate AI integration, generating opportunities to enhance outcomes, optimize resource utilization, and tailor chemotherapy regimens to individual patient profiles.