INSIGHTS ON CELL & GENE THERAPY DISCOVERY

• Develop A Comprehensive Strategy For Implementing AI & Multi-Omics

  Discover how a strategy-first approach to AI and multi-omics transforms complex biological data into actionable clinical decisions and more precise, targeted oncology therapies for 2026 and beyond.

• Cell-Based Bioassays For Potency Testing: From Assay Design To GMP Readiness

  A concise guide to designing and optimizing cell‑based bioassays for GMP readiness, emphasizing biological relevance, robustness, and strategies to reduce variability and strengthen potency data for complex therapies.

• From Promise To Patients: Smarter Pathways To Scale In Cell And Gene Therapy Manufacturing

  As the field evolves, the strategies developers choose may prove just as influential as the therapies themselves in determining how quickly innovation reaches patients.

• Advancing An Integrated Biopharma Workflow Strategy

  Global research teams were generating critical data in disconnected systems, hindering collaboration. Explore how unified workflows and a shared data backbone strengthen efficiency.

• Enhancing Biopharma ROI With In-House Long-Read Sequencing

  Long-read sequencing is redefining research by enabling clearer insights into complex genetic regions. Learn how this technology strengthens data confidence and accelerates modern R&D workflows.

• Enhancing Novel Developability Through Automated MS Analytics

  Growing biotherapeutic complexity demands MS workflows that can unify diverse datasets. Learn how automated approaches enhance data quality, streamline analysis, and support faster development.

• Transforming Development Through Mass Spectrometry Data Analysis

  Mass spectrometry is vital for understanding PTMs in modern biologics. Explore key challenges and how streamlined analysis can reveal deeper, more sensitive insights into biotherapeutic structure.

• End-To-End Workflow Integration For Antibody Development

  Modern antibody discovery generates massive, fragmented datasets that slow collaboration and decision‑making. Examine how unified digital workflows streamline R&D and improve data quality.

• Overcoming Analytical Bottlenecks In Oligonucleotide Drug Development With Automation

  Growing oligonucleotide complexity is straining traditional analytical workflows. See how automated LC‑UV‑MS processing offers a scalable way to boost throughput and reduce manual effort.

• Manufacturing of "MSC 2.0" Using Functionally Closed Systems

  Transitioning to closed systems enables the 100-fold expansion of engineered cells. Achieve high yields and maintain anti-cancer potency while reducing contamination risks and labor.