By integrating real-time hormonal lab results, genetic markers, and reported side effect data, an AI model could help predict a patient's sensitivity to the medications and potentially recommend a slower, more cautious titration schedule or a lower maintenance dose from the start, minimizing discontinuation rates and improving adherence
Indeed, the crude HR for death (with MOF as a censoring event) in the GLP-1 RA group with the DPP-4i group as reference was 0.94 [0.771.15]
The authors suggest this may be because most patients in their study were using GLP-1 RAs to manage diabetes rather than obesity, and because cancer treatments such as chemotherapy, steroids, and endocrine therapy can reduce the drugs weight-loss effects
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They target populations where GLP-1 therapy has the strongest evidence for reducing serious health complications, not just promoting weight loss
Results vary from person to person and depend on what youre using BPC-157 to support