Machine-Learning-Assisted Inverse Design of Biopharmaceutical Formulations and Delivery Systems
Pharmaceutical formulation and delivery-device development has historically proceeded by forward trial and error: a candidate material, formulation, or geometry is proposed, fabricated, and tested, and the cycle repeats until an acceptable product emerges. Machine learning enables an inverse alternative: given a target...
Augustine Odibo
· Preprints.org · 0 citations