Computational solvent screening narrows 70 candidates to under 10 in 2–3 days, with solubility predictions within 20% of experiment—applied to API crystal morphology design.

Combining laser light scattering and microscopy for pharmaceutical particle size analysis eliminates common measurement artefacts and provides verifiable, morphology-aware results.

Subtle changes in particle size, shape, & distribution can have a major impact on pharma solubility and stability and cause flow and formulation issues.

Predicting the percolation threshold, using statistical models or experimentation, is an evidence-based approach that can get solid dosage forms designed faster.

[WEBINAR] Traditional solvent screening takes too long to fix issues for fast-moving clinical candidates. But modeling & smart experiments speed things up.

Computational fluid dynamics virtual experiments let pharma and biotech teams solve process challenges before entering the lab, cutting development time and resource use.