Drug Adverse Side Effect Predictions and Doctor Assistance

Adverse Drug Reactions (ADRs) continue to be one of the major challenges in healthcare, even though pharmaceutical science has advanced significantly in recent decades. Adverse drug reaction varies from one patient to another, not because of the drug but upon biological, genomic, and lifestyle attributes of the patients. Earlier, classical pharmacovigilance did not get forward to defining these in patients or health professionals in an event-response mode. The study anticipates a system that will be based on a completely new paradigm, predicting possible side-effects before usage. RAG holds for system architecture and works with datasets such as SIDER and FAERS in providing patient-specific drug risk assessment. It is an assessment layer for enhancement of clinical fidelity. The system is also furnished with adverse effects wellness recommendations through Ayurvedic remedies and lifestyle modifications- bearing in mind the growing trend towards holistic treatment. The system does not have a target of eliminating ADs, which is far from being possible, but rather of reducing their number to the maximum possible extent and aiding clinicians in their decisions.