The MarketWatch News Department was not involved in the creation of this content. AI-driven robotics platform reduces drug formulation development time from years to months SACRAMENTO, Calif., May 19, ...
Researchers at the University of Toronto say they have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine ...
Companies see a commercial opportunity in creating new ways to administer drugs to patients – in space.
This interview addresses the challenges and complexities of developing and manufacturing controlled-release drug formulations. Could you introduce yourself and your expertise in drug development and ...
Dr. Christine Allen, Co-Founder and CEO of Intrepid Labs, and Dr. Andrew Lewis, Chief Scientific Officer of Quotient Sciences, explain how AI can be used in drug development to shorten development ...
CRYSTAL LAKE, Ill.--(BUSINESS WIRE)--Aptar Pharma, a global leader in drug delivery and active material science solutions and services, today announced that it has entered into an exclusive ...
To optimize the final formulation for a drug, it must meet many criteria beyond producing a safe and effective product. For example, it must be stable and amenable to various manufacturing steps, such ...
Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug ...
Treatment pipelines for rare diseases have never been more promising. Optimizing their impact will require integrated, precision-first CDMO support systems. Rare medical conditions can do more than ...
insights from industryYoann LefeuvreDirector of Product ManagementMicrotrac In this interview, AZoNano speaks with Yoann Lefeuvre, Director of Product Management at Microtrac. Yoann discusses ...
TORONTO, January 10, 2023 [Embargo 10 a.m. London Time] – Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting ...
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