禺胤亘丕鬲賮賯蹖乇蹟14.pdf

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讴鬲丕亘 : 鬲丕乇蹖禺丕爻賱丕賲丿賳蹖丕賲蹖诤丕爻賱丕賲讴蹖爻蹝倬诰蹖賱丕責爻蹖乇鬲禺賱賮丕卅蹝乇丕卮丿蹖賳負爻蹖乇鬲爻蹖丿賳丕賮丕乇賵賯丕毓馗賲負賲爻卅賱蹃亘丕睾賮丿讴賵丨丿蹖孬賯乇胤丕爻丨氐蹃賳蹃賲賲乇鬲亘 : 丨丕賮馗毓亘丿丕賱賵丨蹖丿丨賳賮蹖氐丕丨亘賲丿馗賱蹃

丕夭丕賱蹆冲丕賱卮讴冲毓賳冲賲爻卅賱蹆冲賮丿讴.辫诲蹿Faizan ali Siddiqui

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睾蹖乇賲毓鬲亘乇乇賵丕蹖丕鬲讴丕賮賳蹖噩丕俑夭蹃蹟4蹟賲賮鬲蹖胤丕乇賯丕賲蹖乇.pdfFaizan ali Siddiqui

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睾蹖乇賲毓鬲亘乇乇賵丕蹖丕鬲讴丕賮賳蹖噩丕俑夭蹃蹟1蹟賲賮鬲蹖胤丕乇賯丕賲蹖乇.pdfFaizan ali Siddiqui

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Blind Spots in AI and Formulation Science Knowledge Pyramid (Updated Perspect...Ajaz Hussain

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This presentation delves into the systemic blind spots within pharmaceutical science and regulatory systems, emphasizing the significance of "inactive ingredients" and their influence on therapeutic equivalence. These blind spots, indicative of normalized systemic failures, go beyond mere chance occurrences and are ingrained deeply enough to compromise decision-making processes and erode trust. Historical instances like the 1938 FD&C Act and the Generic Drug Scandals underscore how crisis-triggered reforms often fail to address the fundamental issues, perpetuating inefficiencies and hazards. The narrative advocates a shift from reactive crisis management to proactive, adaptable systems prioritizing continuous enhancement. Key hurdles involve challenging outdated assumptions regarding bioavailability, inadequately funded research ventures, and the impact of vague language in regulatory frameworks. The rise of large language models (LLMs) presents promising solutions, albeit with accompanying risks necessitating thorough validation and seamless integration. Tackling these blind spots demands a holistic approach, embracing adaptive learning and a steadfast commitment to self-improvement. By nurturing curiosity, refining regulatory terminology, and judiciously harnessing new technologies, the pharmaceutical sector can progress towards better public health service delivery and ensure the safety, efficacy, and real-world impact of drug products.

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