AI, Systems and Spatial Biology in Oncology Conference

• Overview
• Program
• Vendor Demos

Empowering Oncology's Future

Dive into the world of AI, machine learning, and spatial biology at our groundbreaking conference, hosted at Mayo Clinic Florida on April 21-22. Join leading experts for plenary talks, panel discussions, and networking opportunities that showcase the transformative potential of cutting-edge technologies in cancer research and treatment. Don't miss this opportunity to be part of a movement that is reshaping the oncology landscape.

AI, Systems and Spatial Biology in Oncology Conference

April 21, 2023, and April 22, 2023
Sawgrass Marriott Golf Resort & Spa
Ponte Vedra Beach, Florida

Traveling to Florida

Mayo Clinic Campus Buildings and Maps

This conference unites a diverse group of professionals, including researchers, clinicians, biotechnologists, and industry leaders who are passionate about harnessing the power of AI and machine learning to revolutionize cancer diagnostics, prognostics, personalized treatments and drug development.

The AI, Machine Learning, Systems and Spatial Biology for Oncology Conference offers:

• Inspiring keynote presentations: Gain insights from world-renowned experts who will share their cutting-edge research, experiences, and visions for the future of AI-driven systems and spatial biology, as well as drug development in oncology.
• Engaging panel discussions: Participate in thought-provoking debates on the ethical, legal, and social implications of integrating AI and machine learning into cancer research, care, and drug discovery through the lens of systems and spatial biology.
• Networking opportunities: Forge new connections and collaborations with fellow attendees who share your commitment to advancing the field of oncology through interdisciplinary research.

By integrating cutting-edge advancements in systems and spatial biology, the conference provides a dynamic, interdisciplinary environment that accelerates innovation in the fight against cancer.

Topics include:

• Computational immuno-oncology
• Single-cell and spatial genomics
• T-cell immunity and activation
• Biomedical optics imaging
• Microbiome
• AI driven drug development

Attend this groundbreaking event that paves the way for new discoveries, technologies, and therapies in cancer research and treatment.

Program

Day 1: Friday, April 21

8:30-9 a.m.	Coffee and registration
9- 9:10 a.m.	Opening Remarks Alfredo Quinones-Hinojosa, M.D., Dean of Research, Mayo Clinic Florida
9:10 - 10:05 a.m.	Plenary Session Linghua Wang, M.D., Ph.D., MD Anderson Cancer Center Computational Immuno-Oncology in the Age of Single Cell and Spatial Omics: Translating Big Data into Clinical Discoveries. (In person)
10:10-10:45 a.m.	Session 1: Single Cell and Spatial Genomics Aaron Newman, Ph.D., Stanford University Cellular and Spatial Determinants of Cancer Clinical Outcomes with Digital Cytometry, including 5 minutes Q&A (In person)
10:45-11:20 a.m.	Logan Walsh, Ph.D., McGill University: Single-cell spatial landscapes of the lung and brain tumour immune microenvironment, including 5 minutes Q&A (In person)
11:20-11:30 a.m.	Coffee Break
11:30-12:05 p.m.	Session 1: Single Cell and Spatial Genomics (continued) Ken Chen, Ph.D., MD Anderson Gauging functional cues in dynamic tumor microenvironment from single-cell/spatial omics data including 5 minutes Q&A (Remote)
	Session 2: Innovation in Cancer Research: Biomedical Optics Imaging, Gender Differences, CRISPR screening for Functional Non-Coding driver
12:05-12:40 p.m.	Defne Bayik, Ph.D., Sylvester Comprehensive Cancer Center Interrogating Host Regulation of Myeloid Cell Function for Improved Immunotherapy of Glioblastoma, including 5 minutes of Q&A (In person)
12:40-1:15 p.m.	Felix Dietlein, M.D., Ph.D. Harvard Medical School: Decoding the noncoding genome: combining computational methods with CRSPR screening, including 5 minutes Q&A (Remote)
1:15-2 p.m.	Lunch
2- 2:35 p.m.	Yongkeun Park, Ph.D., KAIST Holotomography and artificial intelligence: label free 3D imaging, classification, and inference, including 5 minutes Q&A (Remote)
	Special Session 3: NCI’s Data Science and Informatics Research
2:40-3:15 p.m.	Jill Barnholtz-Sloan, Ph.D., Associate Director of NCI Informatics and Data Science Insights from the NCI on leveraging data for cancer discovery and impact, including 5 minutes Q&A (Remote)
3:15-3:30 p.m.	Coffee Break
	Session 4: T cell Immunity and Activation, Microbiome, and Spatial Tumor Immune Microenvironment
3:30-4:05 p.m.	Sungjune Kim MD PhD, Moffit Cancer Center: Sirt2 regulates metabolic fitness and effector functions of tumor-infiltrating T cells (including 5 mins Q&A) (In person)
1:15-4:30 p.m.	Poster Session Also features in-person vendor demos.
5:15-5:45 p.m.	Ceremony
6-8 p.m.	Networking Event

Day 2: Saturday, April 22

8:30-9 a.m.	Coffee
9- 9:10 a.m.	Opening Remarks Alfredo Quinones-Hinojosa, M.D. Dean of Research, Mayo Clinic Florida
	Session 4: T cell Immunity & Activation, Microbiome, and Spatial Biology for Tumor Immune Microenvironment (continued)
9:10-9:45 a.m.	Paul Francois, Université de Montréal Universal Antigen Encoding of T-cell Activation from High-Dimensional Cytokine Dynamics, including 5 minutes Q&A (Remote)
9:45-10:20 a.m.	Arutha Kulasinghe, Ph.D., University of Queensland Ultra-Highplex Spatial Profiling of the Tumour Microenvironment in Head and Neck, Lung, and Skin Cancers, including 5 minutes Q&A (Remote)
10:20-10:30 a.m.	Coffee Break
10:30-11:05 a.m.	Andrew Koh, M.D., Ph.D., U of Texas Southwestern Medical Center Microbiome and Immune Checkpoint Inhibitor, including 5 minutes Q&A (In person)
11:05-11:25 a.m.	Xiuting Liu, Ph.D., Washington University in Saint Louis Context-Dependent Triggering of STING-Interferon Signaling by CD11b Agonists Supports Anti-Tumor Immunity in PDAC, including 5 minutes Q&A (Remote)
11:25 -12 p.m.	Ahmet Coskun, Ph.D., Georgia Institute of Technology Single-Cell Spatial Omics Journey to Signaling and Metabolism In Situ, including 5 mins Q&A (In person)
12 -12:40 p.m.	Lunch
12:40-1:30 p.m.	Plenary Session Jian Tang Ph.D., Mila-Quebec AI Institute, Founder of BioGeometry Title: Generative Biology: How to Build the "ChatGPT" in Biology (Remote)
	Session 5: AI Drug Development and Spatial Technology Companies
1:30-2:05 p.m.	10X Genomics, CTO Michael Schnall-Levin The Latest Single Cell and Spatial Advancements from 10x Genomics, including 5 minutes Q&A (In person)
2:05-2:40 p.m.	InSilico Medicine, Frank Fun, Head of Research How AI is Transforming Drug Discovery, including 5 minutes Q&A (Remote)
2:40-2:50 p.m.	Coffee Break
2:50-3:25 p.m.	Iktos, Quentin Perron Ph.D., CTO DockAI: Efficient Exploration of ultra-large chemical spaces using Active Learning (including 5 mins Q&A) (Remote)
3:25-4 p.m.	Owkin: Joseph Lehar PhD, Senior Vice President Advancing precision oncology using multi-modal patient data (In person)
4-4:35 p.m.	Altos Lab, Simone Bianco Ph.D., PI and Director, Altos SI3 Computational Biology - Bay Area Institute of Science Towards computer-aided design of immunotherapies (In person)
4:35-4:40 p.m.	Closing remarks 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

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.

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.

CJ Bioscience

CJ Bioscience is a clinical-stage biotech company developing several microbiome-based novel therapeutics for various disease areas. Empowered by the industry-leading microbiome bioinformatics expertise, our U.S. subsidiary EzBiome provides solutions beyond therapeutics, including fast, reliable and high-quality metagenomics and microbiome sequencing. Our proprietary bioinformatics platform, EzBioCloud, is a highly validated and comprehensive suite of cutting-edge tools that includes the largest collection of species and subspecies, and can be applied for microbial identification, profiling and biomarker discovery.

Organoid Sciences

Organoid Sciences was the first organoid-specialized drug development innovation company in Korea to develop treatments for incurable diseases using organoids, the most advanced platform for reproducing human organs by 3D culture of stem cells. Organoids refer to organ analogues that are cultured and recombined with human adult stem cells in vitro. It is also called 'mini organ' or 'artificial organ'. It is used to confirm the effectiveness and side effects of new drug candidates related to cancer and brain diseases.

nanoString

NanoString: Experience the Power of Spatial Biology Understanding tissue heterogeneity is crucial to studying cancer pathogenesis and response to treatment. Bridging the gap between tissue imaging and molecular profiling technologies such as single cell analysis, the GeoMx Digital Spatial Profiler and CosMx Spatial Molecular Imager allow you to unlock novel biological insights with spatial multiomics. Whether that be measuring the whole transcriptomic profile from tumor cells or generating receptor – ligand interaction data from single cells in a specific neighborhood, both of these technologies unlock the key to determining pathogenesis. nanoString has developed AtoMx™ Spatial Informatics Platform (SIP), which the only cloud-based, fully-integrated informatics platform for spatial biology. Researchers can analyze and visualize spatial multiomics data with ease while utilizing NanoString-configured analysis modules and pipelines.

Conference 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

James Cerhan M.D., Ph.D., Interim Chair, Department of AI and Informatics, Mayo Clinic Rochester, Mayo Clinic Comprehensive Cancer Center

Conference Planning 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