AI, Systems and Spatial Biology in Human Disease Conference

• Overview
• Program
• Vendor Demos
• Conference Planners

April 13-14, 2024
Cannaday Building 1, Kinne Auditorium
Mayo Clinic Campus
4500 San Pablo Road
Jacksonville, FL 32224
Phone: 904-953-2000

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This symposium unites a multidisciplinary group of experts and innovators from the fields of research, clinical practice and industry. It focuses on the transformative impact of AI, systems and spatial biology across the spectrum of human diseases, aiming to foster collaboration and spark innovation in tackling complex health challenges.

Highlights include:

• Keynote presentations: Mingyao Li, Ph.D., and Yongkeun Park, Ph.D., among other leaders, showcase pioneering work in spatial transcriptomics, 3D holotomography, and their applications in understanding and treating diverse human diseases.
• Panel discussions: Engage with thought leaders on the integration of AI and machine learning into healthcare, discussing implications for patient care, research ethics and the future of medicine.
• Networking opportunities: Build connections with attendees sharing a dedication to advancing human health through technology and interdisciplinary research.

Discussion topics:

• Innovations in 3D spatial biology: Exploring advanced spatial genomics and transcriptomics to map cellular environments in various diseases comprehensively.
• Advanced proteomics and metabolomics: Investigating the complexities of the proteome and metabolome, including single-cell technologies, isoforms, and post-translational modifications.
• CRISPR and genetic engineering: Showcasing CRISPR's pivotal role in genetic disease research and the development of innovative therapies.
• Computational biology and AI in disease prediction: Leveraging computational tools and AI for predictive modeling of disease progression and treatment efficacy.
• The Microbiome's Impact on Health: Examining the gut microbiome's influence on disease manifestation and therapeutic response.
• AI-Driven Clinical Trial Design: Utilizing AI to optimize clinical trial design, improve patient selection and enhance outcome prediction across various diseases.

This symposium serves as a beacon for driving forward discoveries and innovations that have the potential to revolutionize healthcare and improve patient outcomes.

Program Overview

Keynote Speakers:

• Mingyao Li, Ph.D., offering insights into integrating spatial transcriptomics with histology.
• Yongkeun Park, Ph.D., presenting advancements in AI-driven 3D holotomography.

Program

The program for the AI, Systems and Spatial Biology in Human Disease Conference features experts recognized for their knowledge and expertise in the transformative potential of cutting-edge technologies in cancer research and treatment.

All times are eastern daylight time (EDT).

All activities will take place in Kinne Auditorium, Cannady Building 1.

Day 1: Saturday, April 13

8:30-9 a.m.	Coffee and registration
9 a.m.	Opening Remarks Alfredo Quinones-Hinojosa, M.D., Dean of Research, Mayo Clinic Florida
9:10 a.m.	Plenary Talk Mingyao Li, Ph.D., Professor of Biostatistics and Epidemiology; Senior Scholar, Center for Clinical Epidemiology and Biostatistics; Director of Biostatistics, Gene Therapy Program; Director, Statistical Center for Single-Cell and Spatial Genomics; University of Pennsylvania Perelman School of Medicine Integrating Spatial Transcriptomics with Histology to Infer Super-Resolution Tissue Architecture 50-minute talk followed by 10-minute Q&A
10:10 a.m.	Coffee Break
Session 1: CRISPR, Perturbome, and Protein Variations: Frontier Technologies Shaping Disease Research and Therapeutics 30-minute talks, followed by 5-minute Q&As
10:20 a.m.	Dae Kyum Kim, Ph.D., Roswell Park Comprehensive Cancer Center Perturbome of Anticancer Drugs by Novel Gene Overexpression Approach
10:55 a.m.	Kenneth Matreyek, Ph.D., Case Western Reserve University High Throughput Functional Characterization of the Impacts of Protein Sequence Variants on Human Disease
11:30 a.m.	Sampath Loganathan, Ph.D., McGill University The Challenge of Tumor Heterogeneity: Developing CRISPR Based Multi-Gene Knock-Out Immune Competent Mouse Models to Study Cancer
12:05 p.m.	Lunch & Poster Presentation
Session 2: Microbiome, Advanced Proteomics, and Histologic Innovations in Medical Research 30-minute talks, followed by 5-minute Q&As
1:15 p.m.	Andrew Koh, M.D., UT Southwestern Medical Center Gut Microbiota and Cancer Immunotherapy
1:40 p.m.	Sang Tae Kim, CTO, Bertis Bioscience AI-Enhanced Proteomics
2:15 p.m.	Coffee Break
2:35 p.m.	Drew Williamson, M.D., Emory University Histologic Features: Everything Old is New Again
3:15 p.m.	Short Talks Session: Emerging Research and Innovations
3:50 p.m.	Coffee Break and Poster Presentation Award
Session 3: Industry and Innovation Spotlight 20- or 30-minute talks followed by 5-minute Q&As
4:40 p.m.	Joseph Lehar, Senior Advisory Board, Owkin Precision Medicine at Scale – Towards Finding the Right Drug for Each Patient
5:15 p.m.	10x Genomics
5:40 p.m.	Darius Fugere, VP of Marketing and Production, Singular Genomics G4
6 p.m.	Amanda Burke, Ph.D., Vizgen
6:25 p.m.	Closing Remarks for the Day and Networking Night

Day 2: Sunday, April 14

9 a.m.	Coffee and Registration
9:10 a.m.	Plenary Talk Yongkeun Park, Ph.D., Endowed Chair, KAIST, CEO, Tomocube Holotomography and Artificial Intelligence: Label-Free 3D Imaging and Virtual Staining of Live Organoids and Thick Tissues
Session 4: Advances in 3D Spatial Transcriptome, Proteomics and Metabolomics 30- or 40-minute talks followed by 5-minute Q&As
10:10 a.m.	Young Hwan Chang, Ph.D., Associate Professor, Oregon Health & Science University Advancing Multiplex Tissue Imaging: 3D Reconstruction and Panel Reduction
10:45 a.m.	Coffee Break
11 a.m.	Jia-Ren Lin, Ph.D., Technical Director of Tissue Imaging Platform, Laboratory of Systems Pharmacology, Harvard University The Multiplexed Tissue Imaging in Translational Research, from Colorectal Cancer to Renal Disease
11:45 a.m.	Wei Zhang Ph.D., University of Central Florida Computational Methods for Multi-omics Data Integration to Improve Phenotype Prediction
12:20 p.m.	Lunch
1 p.m.	Federico Gaiti, Ph.D., University of Toronto Dissecting the Interplay Between Neuronal Activity and Malignant Cell States in Glioblastoma: Insights from Single-Cell and Spatial Sequencing
1:35 p.m.	Ahmet Coskun, Ph.D., Georgia Institute of Technology Single-cell Spatial Omics Journey to Signaling and Metabolism of Immunity and Cancer
2:10 p.m.	QianQian Song Ph.D., Assistant Professor, University of Florida Graph-based artificial intelligence enriches insights from single-cell spatial data
3 p.m.	Saad Nadeem Ph.D., Assistant Attending/Professor, Memorial Sloan Kettering Cancer Center
3:35 p.m.	Tae Hyun Hwang, Ph.D., Florida Department of Health Cancer Chair and Department of Artificial Intelligence and Informatics, Immunology and Cancer Biology, Mayo Clinic Florida, Mayo Clinic Comprehensive Cancer Center AI-driven 3D/4D Spatial Molecular Profiling in Live Cell, Organoid and Tissue
4:10 p.m.	Closing Remarks Tae Hyun Hwang, Ph.D.

Vendor Demos

In-person presentations will be featured in sessions or demos offered during the poster session.

10x Genomics

10x Genomics, Inc. is an American biotechnology company that designs and manufactures gene sequencing technology used in scientific research. They deliver powerful, reliable tools that fuel scientific discoveries and drive exponential progress to master biology to advance human health. Their innovative single cell, spatial, and in situ technologies enable discoveries across oncology, immunology, neuroscience, and more.

NanoString Technologies

NanoString Technologies, a leader in spatial biology, offers an ecosystem of innovative discovery and translational research solutions. The GeoMx® Digital Spatial Profiler is a flexible solution combining the power of whole tissue imaging with gene expression and protein data for spatial whole transcriptomics and proteomics from one FFPE slide. The CosMx™ Spatial Molecular Imager (SMI) is an FFPE-compatible, single-cell imaging platform powered by spatial multiomics enabling researchers to map single cells in their native environments. The AtoMx™ Spatial Informatics Platform (SIP) is a cloud-based informatics solution with advanced analytics and global collaboration capabilities, enabling spatial biology insights anytime, anywhere.

Singular Genomics

Singular Genomics is a life science technology company that develops next-generation sequencing and multiomics technologies. The commercially available G4® Sequencing Platform is a powerful, highly versatile benchtop genomic sequencer designed to produce fast and accurate results. In addition, the company is currently developing the G4X™ Spatial Sequencer, which will leverage Singular’s proprietary sequencing technology, applying it as an in situ readout for transcriptomics, proteomics and fluorescent H&E in tissue, with spatial context and on the same platform as the G4. Singular Genomics’ mission is to empower researchers and clinicians to advance science and medicine.

Tomocube

Tomocube is opening new horizons by empowering HT technology with the complement of artificial intelligence (AI). AI-based cellular and sub-cellular segmentation, feature extraction and inference of molecular (fluorescent signal-like) information from holotomographic microscopy HT images achieves high accuracy in label-free phenotypic analysis and opens up new avenues to AI-driven data interpretation. Following the successful launch of HT in the research market, Tomocube embarks on developments in diagnostics and personalized medicine applications.

Vizgen

Vizgen is dedicated to pioneering the next generation of genomics, providing tools that demonstrate the possibilities of in situ single-cell spatial genomics. The company has established the benchmark in spatial genomics and continues to drive industry innovation, delivering the highest sensitivity as well as excellent specificity and accuracy in cell segmentation. These tools enable researchers to gain new insight into the biological systems that govern human health and disease with spatial context. Vizgen’s MERSCOPE® Platform enables massively multiplexed, genome-scale nucleic acid imaging with high accuracy and unrivaled detection efficiency at subcellular resolution. MERSCOPE provides transformative insight into a wide range of tissue-scale basic research and translational medicine in oncology, immunology, neuroscience, infectious disease, developmental biology, cell and gene therapy, and is an essential tool for accelerating drug discovery and development.

Conference Planners

Chairs:

Tae Hyun Hwang, Ph.D., Florida Department of Health Cancer, Chair, Department of Artificial Intelligence and Informatics, Immunology and Cancer Biology, Mayo Clinic Florida, Mayo Clinic Comprehensive Cancer Center

Alfredo Quinones-Hinojosa M.D., Dean of Research, Mayo Clinic Florida

Cui Tao, Ph.D., Nancy Peretsman and Robert Scully Chair, Department of AI and Informatics, Mayo Clinic Rochester, Mayo Clinic Comprehensive Cancer Center

Committee:

Himakshiba Jhala M.P.H., M.B.A., FACHE, Thomas Tarantola M.H.A., Sanchari Bhattacharyya

Sponsor:

Funded by Florida Dean of Research and the Department of Artificial Intelligence and Informatics, Mayo Clinic