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AI accelerates drug formulation development for long-acting injectables

By PulseAugur Editorial · [1 sources] ·

Corbion N.V. and Intrepid have collaborated to accelerate the development of long-acting injectable drug formulations using AI. Their joint effort combined Corbion's PURASORB polymer library with Intrepid Labs' AI algorithm, ANDROMEDA 1, to optimize drug loading, release kinetics, and other critical factors. This AI-driven approach successfully identified four promising candidate formulations within approximately 15 weeks, demonstrating a significant acceleration in the drug development process. AI

IMPACT AI-driven optimization significantly speeds up the identification of viable drug formulations, reducing development time and costs.

RANK_REASON The cluster describes a research paper detailing the application of AI in optimizing drug formulations. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI accelerates drug formulation development for long-acting injectables

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13 / 100
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The cluster describes a research paper detailing the application of AI in optimizing drug formulations. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, product, infra
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Pauric Bannigan, Siddarth Chandrasekaran, Brigitte A. G. Lamers, Inge Hermsen, Gary Tom, Riley J. Hickman, Bahar Yeniad, Morgan Fox, Christine Allen ·

    Accelerating the Development of PLGA In Situ Forming Depots Through AI-Driven Multi-Objective Optimization

    arXiv:2610.08368v1 Announce Type: cross Abstract: Developing long-acting injectable formulations requires the simultaneous optimization of drug loading, release kinetics, viscosity, injectability, stability and other objectives. To navigate this multidimensional space, Corbion an…

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