AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...

Predictive business process monitoring and event prediction constitute an evolving field that harnesses advanced data analytics, machine learning, and process mining to forecast future events and ...

The healthcare industry continues to find itself in an entanglement with continuous risks. Handling these risks implies the applicability of highly accurate predictive technologies that promise ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

Predictive modeling facilitates the identification of coformers, cocrystal components, and complexing agents. Poor water solubility continues to present a major challenge to formulators. Poor ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Honeywell’s HALO machine learning system predicted pressure disturbances and cycle delays with 12-minute notice, enabling operators to take preventive action before shutdowns occurred. The ...

Drug Discovery Software Market OverviewThe global drug discovery software market is emerging as a high-impact segment within the life sciences technology ecosystem, driven by the urgent need for ...