The research tackles whether LLMs can serve as useful tools in pharmacometrics without undermining the integrity of mechanistic, domain-specific models. The analysis shows that while LLMs are unlikely ...
Roman Styatyugin, an expert in product development and business development within the IT sphere, shares insights on the ...
In this video interview, Ananth Kadambi, VP of real-world evidence and modeling solutions at Certara, discusses how model-informed drug development can help sponsors predict efficacy and safety ...
AI and ML enhance drug discovery by rapidly screening compounds and predicting ADMET properties, reducing resource commitment ...
AI Data Cloud Snowflake introduces Model Context Protocol Server to connect data with agent platforms including Anthropic, ...
Biopharmaceutical innovation can cost billions and take over a decade to bear fruit. Salvation lies in swapping paper trails ...
Starbucks is focused on applying data and AI to enable strategic decision-making through customer-centric, data-driven products that directly support the core brand promise—elevating handcrafted ...
Despite the proliferation of codes of ethics and corporate commitments, the “principles-to-practice gap” persists because many frameworks lack mechanisms to guide everyday decisions at the project ...
The key lies in approaching sustainability not as a mandate but as an internal opportunity for excellence, innovation and ...
GlobalData's AI tool 'Likelihood of Approval (LoA)' model, powered by artificial intelligence (AI), accurately predicts ...
In this video interview, Ananth Kadambi, VP of real-world evidence and modeling solutions at Certara, explains how integrating real-world evidence and predictive modeling early in development can ...
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