Xtalks Webinars

Master hidden bispecific developability risks with Ammar Arsiwala in this webinar hosted by Ginkgo Datapoints.

As bispecific pipelines expand, early developability assumptions can obscure pairing risk, inherited liabilities, and assembly-driven failure modes. This session examines how systematic parental profiling and large-scale bsAb dataset design can sharpen prediction, expose where additivity breaks down, and support earlier de-risking of complex biologics.

Register for this webinar to learn how developability data can predict bsAb pairing risk, reveal emergent liabilities, and improve parental screening decisions earlier in development: https://buff.ly/t8XWsqf

Master the gap between data access and credible evidence with Jeffrey S. Brown, PhD and Miguel Hernán, MD, PhD, ScD in this webinar hosted by TriNetX.

As real-world data becomes central to evidence generation, the real challenge is not volume, it is aligning the research question, study design, and data source with rigor. This session explores a practical framework for causal inference, helping teams avoid fit-for-purpose missteps and make more transparent, decision-ready RWD choices.

Register for this webinar to learn how to sequence question, design, and data selection, and assess dataset fitness-for-purpose with actionable decision points: https://xtalks.com/webinars/from-data-to-evidence-a-framework-for-rwd-study-design-causal-inference/?utm_source=social&utm_medium=webinar&utm_campaign=26q166