Conference Day One

*Please note this event has been cancelled*

7:30 am Registration & Morning Coffee

7:50 am Chair’s Opening Remarks

8:00 am Panel Discussion: Piecing Together the Puzzle of the CNS – In Vitro, In Vivo, & In Silico Perspectives on Translational Modelling

Synopsis

  • Explore alternate perspectives of preclinical and translational modelling – what can neuroscientists, tissue engineers, and computational biologists learn from each other?
  • Take away interdisciplinary learning to bolster your drug development pipeline
  • Finding mechanistic and theoretically motivated models that are intrinsically interpretable with direct analogies to biological reality

BIOENGINEERING FOR NEUROSCIENTISTS: TISSUE ENGINEERING & DEVELOPING BRAIN ORGANOIDS

8:30 am Developing Practical Models to Assess Target Interactions for Drug Development

  • Beth Hoffman Chief Executive Officer, Origami Therapeutics

Synopsis

  • Advance beyond the traditional 2D tissue culture techniques used to develop human neurons
  • Utilising human-derived fibroblasts in conjunction with iPSC-derived neurons to demonstrate Huntington’s disease traits
  • Imaging degradation pathways and using -omics to optimize drug candidates

9:00 am Describing Patient-Derived Organoid Led Strategies Combined with Computational Biology to Tackle Alzheimer’s Disease Biology

  • Robert Fremeau Founder & Chief Scientific Officer, BrainStorm Therapeutics

Synopsis

  • Compare the modelling strategies that must be employed to study drug efficacy on sporadic occurrence of disease compared to those with defined genetic drivers to optimize preclinical work
  • Optimize the decision making behind the variety of models needed to test drug efficacy for sporadic occurrence of neurological disease
  • Using genetic data and transcriptomics to identify clinical endpoints in organoids through phenotypic screening and bypass unknown target biology

9:30 am Speed Networking

Synopsis

Our structured networking is the ideal opportunity to get face-to-face time with many of the brightest minds working in the field and introduce yourself to the attendees that you would like to have more in-depth conversations with. Benchmark against industry leaders and establish meaningful business relationships to pursue for the rest of the conference and beyond

10:15 am Morning Break

CALIBRATE COST & COMPLEXITY OF PRECLINICAL MODELS

11:15 am Employing Cell Lines to Accelerate Target-Focused Drug Discovery

  • Justin Boyd Senior Director - Translational Science, Vaxxinity

Synopsis

  • Decision-making and strategic considerations when using procured cell lines and models in drug development for neuroscience
  • Quality control and validation of externally produced preclinical models

11:45 am Practical Considerations When Implementing Novel CNS Models into a Drug Development Pipeline

  • James Fink Director, Epilepsy Therapeutic Lead, Quiver Bioscience

Synopsis

  • Explore the validation protocols and additional characterization employed to ensure cellular models are consistently reproduced from literature or between batches and are of acceptable quality before proceeding with large-scale phenotyping or screening
  • Leveraging high throughput electrophysiological readouts in human iPS cell-derived models to establish robust disease phenotypes and predict potential CNS liabilities/off-target effects
  • Scaling and adapting multiple cell culture protocols for industrial scale

12:15 pm Lunch & Networking

BUILDING A BRIDGE OVER THE TRANSLATIONAL GAP OF NEUROSCIENCE MODELS TO ADVANCE TOWARDS PREDICTIVE CNS MODELS

1:45 pm Considerations when Modelling the Peripheral Nervous System for Neuromuscular Disease Treatment

Synopsis

  • Develop in vitro models of motor neurons to examine drug efficacy
  • Learn how to develop a simple, robust, and reductionist model platform to screen novel drugs and assess mechanism of action

2:15 pm Integrating Machine Learning with Animal Models to Find Translatable Features

Synopsis

  • Overcome limitations of animal behaviour readouts for drug development by using translatable circuitry and biological readouts
  • Examine how machine learning can be implemented with in vivo readouts to improve the translational efficacy for drug development

2:45 pm Genetically-Informed Disease Progression Modelling

Synopsis

  • Applying machine learning to the PD dataset and using combination of polygenic risk scores, baseline clinical exams, & neuroimaging to predict which people will experience disease progression
  • Identify signatures for potential patient selection and predict Parkinson’s disease patient outcomes
  • Using this model to design clinical trials and accelerate clinical trials

3:15 pm Afternoon Break

ORGAN-ON-A-CHIP TECHNOLOGY: ADAPTABLE BUILDING BLOCKS & MIMICKING NEUROLOGICAL SYSTEMS

4:15 pm Comprehensive & Optimized Preclinical Models with Organ-On-A-Chip Technologies

Synopsis

  • Leveraging Human Brain-Chips to revolutionize disease modeling, drug development, and personalized medicine
  • Examining the intricate interplay between neurons and blood vessels and replicating the complex microenvironment
  • Harnessing the potential of Brain-Chips as a reliable platform to evaluate novel therapeutics

4:45 pm Assessing the Predictive Capabilities of Organ-on-a-Chip Models

Synopsis

  • Ensure the fidelity and reproducibility of phenotypes at medium throughput
  • Applying brain-on-a-chip to understand underlying disease pathology
  • Incorporating lessons learned at scale for neuroscience drug development pipelines

5:15 pm Chairs Closing Remarks

5:30 pm Scientific Poster Session

Synopsis

This is an informal session to help you connect with your peers in a relaxed atmosphere and continue forging new and beneficial relationships. With an audience of neuroscience enthusiasts eager to hear, the latest cutting-edge advancements, you will have the opportunity to display a poster presenting your own work. Additionally, you will have the chance to review other’s posters displaying novel approaches to creating iPSC-derived in vitro models, humanized in vivo models, validating translational efficacy with biomarkers, and the algorithms employed to accelerate neuroscience drug development