Solubility is fundamental in successfully developing all classes of therapeutic biopolymers. Contact with stressors related to mechanical stirring or changes in buffer conditions may cause ...
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 ...
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 ...
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 ...
Intrepid Labs’ Valiant platform uses AI and robotics to cut drug formulation timelines from months to days Over $11M USD total raised to-date; latest round led by AVANT BIO TORONTO--(BUSINESS ...
Siddhant Sojitra, Alexion, defines in an AAPS PharmSci 360 2025 presentation an agitation model to reliably test stability for early-stage biologics. Mechanical stress testing is essential because ...
Expertise in CMC (chemistry, manufacturing, and control) ensures the appropriate manufacture of a pharmaceutical or biologic by coordinating material characterization, formulation development, and ...
Alchemite ™ advanced machine learning was used by Domino Printing Sciences to leverage historical data and obtain several novel ink formulations, a number of which were later validated via physical ...
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