{"id":22310,"date":"2020-01-10T13:04:40","date_gmt":"2020-01-10T13:04:40","guid":{"rendered":"http:\/\/www.fyeo.in\/ultragenicglobal\/?page_id=22310"},"modified":"2023-04-17T10:34:02","modified_gmt":"2023-04-17T10:34:02","slug":"insights","status":"publish","type":"page","link":"https:\/\/www.fyeo.in\/ultragenic\/insights\/","title":{"rendered":"Insights"},"content":{"rendered":"
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Insights<\/span>

\u201cA new idea comes suddenly and in a rather intuitive way. But intuition is nothing but the outcome of earlier intellectual experience.\u201d – Albert Einstein<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>

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Insights<\/span>

\u201cA new idea comes suddenly and in a rather intuitive way. But intuition is nothing but the outcome of earlier intellectual experience.\u201d – Albert Einstein<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>

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Ultragenic\u2019s responsible use of AI in GxP<\/a>
15 June 2026<\/span>
At Ultragenic, we see AI fundamentally reshaping pharmacovigilance \u2014 from automated case intake to intelligent intake\/reporting workflows and modern safety systems. However, in GxP \u2011regulated environments, innovation can never stand...<\/div>View More<\/a><\/div><\/div><\/div><\/div><\/div>
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The Future of Pharmacovigilance Intake<\/a>
22 May 2026<\/span>
UltraIntake: From Manual Processing to Intelligent, Adaptive Case Management Pharmacovigilance (PV) is at a critical inflection point. Traditional manual case intake processes are increasingly unsustainable in the face of rising...<\/div>View More<\/a><\/div><\/div><\/div><\/div><\/div>
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Regulatory Constructs for the Use of AI: Shaping the Future of Pharmacovigilance<\/a>
22 May 2026<\/span>
Artificial Intelligence is no longer an experimental capability in Pharmacovigilance (PV); it is rapidly becoming foundational to how safety operations scale, adapt, and deliver public health impact. As AI adoption...<\/div>View More<\/a><\/div><\/div><\/div><\/div><\/div>
Older Post<\/span><\/i><\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>
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Get Started<\/a><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/section>\n","protected":false},"excerpt":{"rendered":"Artificial Intelligence is no longer an experimental capability in Pharmacovigilance (PV); it is rapidly becoming foundational to how safety operations scale, adapt, and deliver public health impact. As AI adoption accelerates, regulatory frameworks are evolving to ensure that innovation is matched with responsibility, transparency, and patient safety. The conversation is no longer \u201cShould AI be used in PV?\u201d but rather \u201cHow should AI be governed?\u201d This shift brings regulatory constructs to the forefront\u2014policies, guidance, validation frameworks, and governance models that define the safe and ethical use of AI across the drug safety lifecycle. Why Regulatory Constructs Matter for AI in PV Pharmacovigilance sits at the intersection of science, compliance, and patient welfare. Any technology influencing case processing, signal detection, risk assessment, or regulatory submissions must meet strict standards of: Accuracy and Reliability \u2013 Safety decisions impact real patients Traceability \u2013 Every output must be auditable Explainability \u2013 Black-box decisions are unacceptable in regulated workflows Data Integrity \u2013 Source fidelity and transformation transparency Human Oversight \u2013 AI augments experts; it does not replace accountability AI introduces probabilistic outputs into a domain that traditionally relied on deterministic systems. Regulatory constructs help bridge this gap by defining how machine intelligence can operate within...","protected":false},"author":1,"featured_media":23036,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-22310","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.fyeo.in\/ultragenic\/wp-json\/wp\/v2\/pages\/22310","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.fyeo.in\/ultragenic\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.fyeo.in\/ultragenic\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.fyeo.in\/ultragenic\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fyeo.in\/ultragenic\/wp-json\/wp\/v2\/comments?post=22310"}],"version-history":[{"count":43,"href":"https:\/\/www.fyeo.in\/ultragenic\/wp-json\/wp\/v2\/pages\/22310\/revisions"}],"predecessor-version":[{"id":24213,"href":"https:\/\/www.fyeo.in\/ultragenic\/wp-json\/wp\/v2\/pages\/22310\/revisions\/24213"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fyeo.in\/ultragenic\/wp-json\/wp\/v2\/media\/23036"}],"wp:attachment":[{"href":"https:\/\/www.fyeo.in\/ultragenic\/wp-json\/wp\/v2\/media?parent=22310"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}