AI/Machine Learning Pre-Conference Focus Day
Tuesday, March 19, 2024
8:00 am Registration & Morning Coffee
8:55 am Chair’s Opening Remarks
Leveraging AI to Classify IBD Subtypes for Improved Disease Management
9:00 am Wearable and Connected Technologies: Harnessing AI & Machine Learning in the Management of IBD
Synopsis
- Discuss how non-invasive wearable devices and the physiological data they collect can be used in the management of health and disease
- Discuss how we can leverage the data collected from novel technologies through AI/ML to monitor IBD activity
- Discuss how wearable and connected technologies can non-invasively monitor for drug response
9:30 am Panel Discussion: Using AI-Enhanced Phenotyping to Provide Novel Understanding of IBD Heterogeneity
Synopsis
- To what extent will AI reshape the classification of IBD subtypes?
- What insights does classify IBD subtypes provide into disease heterogeneity?
- Delving into AI-enhanced phenotyping for tailoring bespoke treatment optionsÂ
10:30 am Morning Networking Break
Optimizing Data Handling to Improve Patient Selection for Better Personalized IBD Treatment Options
11:30 am Practical Considerations of Application in IBD to Improve Patient Care
Synopsis
- Real-world applications of AI in personalized medicine for IBD, including how AI-driven tools could be used to diagnose and monitor patient progress
- How can we integrate AI effectively and ethically into clinical practice to ensure regulatory considerations, data privacy, and strategies during a successful implementation?
12:00 pm AI for multi-omics analysis and discovery of biomarkers of disease progression in Crohn’s Disease
Synopsis
- Discuss the implementation of machine learning for identification of prognostic biomarkers of progression to complicated disease behaviour using transcriptomics and proteomics data sets.
- Discuss whether AI-based immunoprofiling could support the identification of disease specific autoantibodies for patient subtyping.
12:30 pm Lunch & Networking Break
Harnessing AI/ML to Predict Patient Progression for Improved Clinical Outcomes for IBD Patients
1:30 pm Roundtable Discussion: Enhancing Clinical Trial Design to Effectively Catalyse Clinical Studies & Accelerate IBD Drug Development
Synopsis
- How can utilise AI to improve patient selection and eligibility screening for novel therapeutics?
- How can we use the wealth of clinical data for protocol optimization within the context of clinical design?
- Can we use AI/ML for predictive analytics, identifying potential complications or negative reactions in early stages of clinical trials?
- Could we implement real-time patient monitoring to identify trends or anomalies that may require immediate attention?
- Are modalities required for companion diagnostics sufficient to implement into clinical trials?
2:30 pm Catalyzing Discovery: Unleashing the Power of AI in Protein Engineering for Innovative Anti-Inflammatory Therapeutics
Synopsis
- How AI can be used to generate de novo miniprotein for better medicines
- A case study – the power of AI in drug discovery
3:00 pm Navigating AI in Clinical Trials: Unraveling Challenges in Histology-based Disease Assessment for IBD Patients
Synopsis
- Annotation Granularity: Can we rely on the AI model trained without detailed annotations of tissue pathologies?
- Batch Effects on AI Models: Do batch effects negatively affect the AI reasoning process and how to prevent them?
- Matching Expert Accuracy: Do clinical conclusions about the disease state derived from the AI model, matching histology experts' accuracy, align with clinicians' assessments?
3:10 pm Afternoon & Networking Break
Wielding Machine Learning to Optimize Drug Response Rate & Efficacy for Enhanced Therapeutic Potential
4:00 pm Roundtable Discussion: Navigating the Ethical and Regulatory Landscape of AI in Precision Medicine for IBD
Synopsis
- Explore methods to empower patients with a comprehensive understanding of AI applications in their healthcare decisions
- Discuss potential biases in AI algorithms used for IBD classification and their impact on diverse patient populations
- Discuss the importance of transparently explaining AI-driven decisions to both clinicians and patients, fostering trust and acceptance
4:30 pm Panel Discussion: Synergizing Precision Medicine and Computational Sciences: Leveraging AI, Wearables, and Advanced Simulation Tools
Synopsis
- Integrating advanced simulation tools, machine learning, and AI techniques to enhance precision medicine in IBD
- Cross-disciplinary collaboration between industry and healthcare for accelerated therapeutic development
- Leveraging computational sciences to model complex processes and optimize treatment strategies