PREFILLED SYRINGES - Making a Prefilled Syringe Smart: Technological Solutions to Advance Patient Care & Clinical Trial Outcomes

Salvatore Forte, MS, believes adherence to the dosing regimen, as well as compliance to the injection protocol, are essential for treatment success in both these use-cases. Hence, the request for a connected, smart PFS is growing just as much to tackle poor medication adherence and compliance issues.

DATA-SHARING PLATFORM - How to Overcome the Challenge of Differing Digital Maturity Levels in Biopharmaceutical Supply Chains

David Brick, MS, and Harlan Knapp, MS, review how the efficient and timely delivery of therapeutics with complex manufacturing needs cannot be achieved by simply unifying the entire pharmaceutical landscape within the most advanced digital maturity level. A better approach is to implement a flexible data-sharing platform that can accommodate partners with different data management capabilities.

THERAPEUTIC FOCUS - TTHX1114: Improving Outcomes for High-Risk Patients After Cataract Surgery

David Eveleth, PhD, says in many cases, high-risk patients have few options for complication-free treatment of cataracts or other degenerative eye disorders. By filling this unmet need, TTHX1114 has the potential to significantly improve vision health, enhance the well-being of high-risk individuals, and alleviate economic burden on healthcare systems and economies.

FORMULATION FORUM - Lipid Nanoparticles – Carriers for Nucleic Acids Delivery

Shaukat Ali, PhD, and Jim Huang, PhD, describe the role of individual components in aggregation, packing, stability, efficacy, and potency of nucleic acids, the understanding of which is important to achieve better designed and smarter formulations, and robust scale up and manufacturing of LNPs.

ARTIFICIAL INTELLIGENCE PLATFORM - Advancing Precision Medicine With bfLEAP™: Next Generation AI for Drug Development

Thomas Hazel, PhD, and JT Koffenberger explore the technical architecture and capabilities of bfLEAP, delving into its ML algorithms, proprietary clustering techniques, and visually understandable outputs, examine some of the potential use cases for the platform in drug development, and discuss future developments.