Scientists use machine learning to fast-track drug formulation development. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 01 / 230110103448.htm ...

The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster. The study ...

The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster.

SACRAMENTO, Calif., May 19, 2025 /PRNewswire/ -- Persist AI, a pioneer in AI-driven robotics for pharmaceutical formulation development and Chemistry, Manufacturing, and Controls (CMC), today ...

Thermo Fisher Scientific, for example, has developed some of these tools for tackling formulation challenges with ASDs. Enabling time, cost, and materials savings. The potential benefits afforded by ...

Major players in the formulation development outsourcing market are Syngene International Ltd., Aizant Drug Research Solutions Private Limited., Catalent Inc., Intertek Group plc, Recipharm AB ...

The global formulation development outsourcing market is on a significant growth trajectory, with a projected compound annual growth rate (CAGR) of 7.2% over the next decade. Valued at USD 33.23 ...

Silexion Therapeutics (SLXN) revealed its ongoing collaboration with Evonik for the development of an advanced siRNA formulation aimed at enhancing cancer treatment efficacy. Through this existing ...

Scientists at the University of Toronto have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning ...

The potential for machine learning algorithms to accelerate drug formulation could reduce the time and cost associated with drug development, making promising new medicines available faster, added ...