CONFERENCE DAY TWO

8:50 am Chair’s Opening Remarks

Applications of 3D Tissue Models to Support ADME & DMPK Studies

9:00 am Validating Skin-Based Complex In Vitro Models to Empower ADME & DMPK Predictions

Synopsis

  • Explaining how CIVM provide a more physiologically relevant environment for studying PK, bioavailability and more
  • Spotlighting strategies to ensure accurate recapitulation of the tissue microenvironment by using patient tissues
  • Linking in vitro data with in vivo data to assess for correlations and empower formulation decision-making

9:30 am Establishing Reproducible Neuromuscular-on-a-chip Models to Empower Efficacy Predictions

  • Jason Ekert Head of Discovery Translational Technology, UCB

Synopsis

  • Showcasing the utilization of neuromuscular models to assess a spectrum of disorders including complement mediated, myotonic dystrophy, or immune-related responses
  • Uncovering lessons learned from employing a CIVM to assess for pharmacology and efficacy studies
  • Discussing how the efficacy assessments in neuromuscular models contribute to the optimization of candidate treatments, paving the way for enhanced interventions in the field

10:00 am Developing, Validating & Deploying in Vitro Models of the Central Nervous System to Inform Drug Development

Synopsis

  • Investigating the degree to which different in vitro models recapitulate the human and mouse CNS
  • Discussing how these models, paired with various assays, may predict drug-induced neurotoxicity
  • Presenting data suggesting that the right combination of model and assay can reveal unique insights into on- and off-target toxicity

10:30 am Morning Break & Networking Coffee

Uncovering Optimized Strategies to Boost Toxicity Predictability Power Using Model Data

11:30 am Spotlighting Lessons Learned from Validating & Implementing Organoids to De-Risk Oncology Therapeutic Development

Synopsis

  • Discussing the need to build robust protocols to enhance model reproducibility and empower their validation
  • Employing techniques to characterize organoid and ensure reproducibility and translatability for safety studies
  • Assessing the applications of organoids for safety considerations to de-risk therapeutic candidates before moving to patients

12:00 pm Empowering Oncology Drug Safety: Leveraging Reproducible Organ-on-a-Chip Models for Hazard Identification

Synopsis

  • Discussing the limitations of current models for assessing immunotoxicity of cell engagers and cell therapies
  • The ability of MPS model to mimic human physiological conditions, including cell-cell interactions and microenvironment dynamics, allows for more accurate predictions of drug responses
  • Case study: Assessing on-target off-tumor toxicity for T-cell engagers and cell therapy

12:30 pm Lunch Break

Exploring the Future of Modeling & Spotlighting Newer Tools to Empower Drug Discovery

1:30 pm Fireside Chat: Assessing the Future of 3D Tissue Modeling

  • Muriel Lizé Associate Director - In Vitro Respiratory Research, Boehringer Ingelheim

Synopsis

  • Discussing the exciting model developments that have recently gained traction
  • Spotlighting the analysis tools like spatial biology to empower model validation

2:15 pm Applying Back Translation to Validate Complex In Vitro Models

  • Muriel Lizé Associate Director - In Vitro Respiratory Research, Boehringer Ingelheim

Synopsis

  • Exploring optimized techniques to model lung pathobiology to develop a lung-in-a-dish model
  • Addressing the need for back translation of clinical compounds using emerging models to empower their validation
  • Spotlighting strategies to implement machine learning to empower compound screening and analysis

2:45 pm Harnessing Bioconvergence Including Validated MPS Data to Help Transform Drug Discovery & Development While Reducing Reliance on Animal Testing

  • Philip Hewitt Global Head of Early Investigative Toxicology, Merck

Synopsis

  • Utilizing bioconvergence to develop standardized methods for characterizing microphysiological systems, ensuring consistency and reliability across studies
  • Leveraging bioconvergence to empower prediction modeling in drug discovery
  • Collaborating with different functions to make the best out of the data outputs from this

3:15 pm Chair’s Closing Remarks & End of Summit