Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy (Adv. Mater. 52/2025)

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy The image illustrates a nanoscale depiction of the PCN-222 metal–organic framework loaded with chemotherapeutic drugs (gemcitabine, paclitaxel, SN-38) and stabilized with PEG chains. In their Research Article (DOI: 10.1002/adma.202412757), João Conde, David Fairen-Jimenez, and co-workers report a machine-learning–driven design of MOFs for pancreatic cancer therapy, identifying PCN-222 as optimal. PEG@Pac@PCN-222 demonstrates high biocompatibility, sustained drug release, long-term stability, and superior in vivo antitumor efficacy. Image design by Ella Maru.