Conference Day Two

*Please note this event has been cancelled*

9:20 am Chair’s Opening Remark

TRANSLATING DISCOVERIES: ADAPTING OVER THE LIMITATIONS OF ANIMAL MODELS TO ASSESS CNS DRUG EFFICACY

9:30 am Artificially Driving Neurodegenerative Pathologies in In Vivo Models

  • Fares Bassil Director In-Vivo Pharmacology Gene Therapy, Eli Lilly & Co.

Synopsis

  • Reimagine how we profile animal models to understand disease progression when using artificial strategies to improve characterisation of preclinical models and improve translation
  • Incorporating multiple models and characterizing tissues from different species to assess expression profiles and disease progression in context
  • Scrutinize human-derived signatures used to evaluate in vivo models amongst the lack of access to human samples

10:00 am Intelligent Use of Multiple Data Streams for Comprehensive Computational Support During Drug Trial Phases

  • Jeremy Huang Senior Scientist - Single Cell & Systems Biology, Sanofi

Synopsis

  • Utilize AI and machine learning models to incorporate known genetic risk factors and discover novel associated genes steering neurodegeneration
  • Understand the approaches used to address problems while working within limited patient-centred data
  • Creating and interpreting webs of information to determine what neurological targets should not proceed

10:30 am Morning Break & Networking

11:30 am Roundtable Discussion: Unleashing a New Era of Preclinical Studies for Neuroscience Drug Development

Synopsis

  • Debate the validity of using animal models and assess the timeline of non-clinical toxicity studies in relation to CNS disorders to prevent unforeseen side effects
  • Explore how to leverage cell-based assays, microphysiological systems, and computational modelling in conjunction to demonstrate mechanism of action and safety of novel CNS therapies
  • Recalibrate how models can be used to reassess and reengineer potentially flawed drugs earlier to maximize their success rate in clinic

12:00 pm Feedback Panel

Synopsis

  • Nominated speakers from each table will unite to share the alternate perspectives and discussions from each table
  • Highlight the future of CNS model development to improve drug development across neuroscience disease areas

12:30 pm Lunch & Networking

ENSURING MODEL INTEGRITY ACROSS CNS DISORDERS & FUTURE PERSPECTIVES

2:00 pm Mastermind Discussion: Highlighting the Value of Collaboration & Pre-Competitive Sharing – Moving Towards Universal CNS Models & Predictive Models

Synopsis

Across methods of modelling disease access to data and legality of data acquisition remains a challenge, discuss aspects from iPSC access, validation of academic models, and messy clinical data for computational models

  • Discovering how clinicians collaborate with computational biologists to ensure high quality data to be incorporated as priors
  • Explore the considerations to ensure clinical data remains anonymous when developing models
  • Discuss precompetitive sharing and assess the value of creating universal disease models

2:30 pm Considerations of Acute In Vivo Mouse Models to Interrogate Neurological Disease and Drug Development

Synopsis

  • Using viral gene editing methods to create new models to recapitulate symptomology in vivo in mice
  • Understand considerations that must be made when attempting to study preclinical behavioural and genetic differences
  • Dive into the solutions and challenges of studying chronic disorders compared to ones with clear genetic causes

3:00 pm Afternoon Break

BOLSTERING LIMITED HUMAN CNS SAMPLES TO PREDICT DRUG OUTCOMES

3:30 pm Creating a Virtuous Cycle of In Vitro & In Silico Models Informing their Own Improvement

  • Steven Ryan Director, Head of Biomedical Data Science, Quiver Bioscience

Synopsis

  • Collecting functional measurements from in vitro samples at high throughput to inform computational models that can be used for in silico screening and predictions
  • Applying machine learning to identify disease phenotypes in human cellular models, enabling a quantitative approach for optimizing therapeutic candidate choice
  • In silico models of functional activity can be used for target deconvolution, disease phenotyping, or drug repurposing

4:00 pm Blood Brain Barrier & Beyond: Developing Effective Models to Study Penetration & Therapeutic Dose in Humans

Synopsis

  • Ranking molecule capability to cross human blood brain barrier models to understand the human therapeutic dose
  • Achieving a paralleling as blood brain barrier defects in neurodegenerative disease, understanding more of the biology to identify new targets and potential to modify the blood brain barrier
  • Developing assays in-house to understand how brain cell types interact with blood brain barrier

4:30 pm Validation of Demyelinating Models for Small Molecule Discovery of Multiple Sclerosis Therapies

  • Didier Bagnol Director, In Vivo Pharmacology, Pipeline Therapeutics

Synopsis

  • Use of electrophysiology and biomarkers as surrogate endpoints of remyelination in autoimmune encephalomyelitis (EAE) and cuprizone preclinical models
  • PIPE-791 a brain-penetrant LPA1 antagonist induces OPC differentiation and remyelination in demyelinating models

5:00 pm End of Conference & Chair’s Closing Remarks