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7.4 Machine learning guided therapeutic decision making Currently, machine learning (ML) techniques are being increasingly employed for better optimization and treatment of breast cancer through prediction, therapy response, drug sensitivity, resistance, and patient-specific outcomes

Heme has extensive application value

Oral repletion is limited by digestive absorption capacity particularly post-exertion, when GI blood flow is redirected to working muscles

Similarly, the association between statins and the risks of CVD and mortality has not been explored in these patients

31 After silica extraction from biosources by different methods (the topic of discussion in the next section), it can be converted to sodium silicate solution (SSS) by reaction with sodium hydroxide solution