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EFPIA states AI rules must “enable not hinder” pharma R&D

Drug Discovery World

Significantly for drug discovery, ‘scientific research and development’ is excluded from the scope of the Act, though this will be defined further in future guidance. Diana Spencer, Senior Digital Content Editor, DDW The post EFPIA states AI rules must “enable not hinder” pharma R&D appeared first on Drug Discovery World (DDW).

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Claims that AI will “revolutionise pharma R&D” are (almost entirely) hype

DrugBaron

Both the cost and the time required for each new drug approval have increased exponentially for decades (aptly tagged ‘Eroom’s Law’, being the inverse of price drops and speed gains in the semiconductor industry). So what about the theoretical basis for the claim that AI can “revolutionise” drug discovery and development?

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Mapping the GenAI Landscape in Pharma R&D

BenchSci

While we have made tremendous progress in drug discovery over the last couple of decades, the process of discovering new drugs is time-consuming, intricate, and costly. Today, the pharmaceutical (pharma) industry is in the midst of a transformative era driven by the advent of Generative AI (GenAI).

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Building the Disease Biology Generative AI Platform for Pharma R&D

BenchSci

Earlier this month, I traveled across North America and the UK to meet our 340 team members. Every year in January, we kick off the year with our “Roadshow”, where I meet our team in person and share our accomplishments and learning from the previous year and where we are going next.

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Quantum Computing: Boehringer Ingelheim and Google Partner for Pharma R&D

The Pharma Data

.–( BUSINESS WIRE )– Boehringer Ingelheim announced today a collaborative agreement with Google Quantum AI (Google), focusing on researching and implementing cutting-edge use cases for quantum computing in pharmaceutical research and development (R&D), specifically including molecular dynamics simulations.