In recent years, breakthroughs in single-cell technologies have reshaped our understanding of biology and medicine, making it possible to deeply analyze cellular differences, transitions between cell states, regulatory pathways, and processes linked to both healthy and disease conditions. While single-cell methods are now broadly utilized, continuous advancements in cell separation techniques, novel sequencing technologies, spatially resolved transcriptomics, and sophisticated computational analysis tools are still actively expanding our ability to characterize individual cells. These innovations now enable researchers to simultaneously examine genomic sequences, RNA expression patterns, protein abundance, and epigenetic marks within single cells, leading to previously unattainable insights.

Single-cell technologies have revealed essential new details across numerous fields including genetics, immune system function, infectious disease, cancer biology, developmental processes, and neurological sciences, offering a deeper comprehension of how cells function, communicate, and malfunction.

This meeting aims to gather leading scientists in single-cell biology and translational medicine to discuss these dynamic technological developments, promoting collaboration and advancing the translation of foundational scientific insights into clinical interventions. Key presentations will highlight state-of-the-art sequencing protocols, improved methods for sample handling, and advanced computational approaches, emphasizing their biological significance and their role in uncovering disease pathways. Furthermore, the conference will spotlight emerging technologies and their potential for catalyzing future biomedical breakthroughs and precision medicine strategies.

Confirmed Invited Speakers:

Emma Andersson (Karolinska Institutet)
IN UTERO NEXT-GENERATION SINGLE-CELL LINEAGE TRACING TO RESOLVE DEVELOPMENTAL PRINCIPLES
Elham Azizi (Columbia University)
MACHINE LEARNING FOR DECODING TUMOR MICROENVIRONMENT DYNAMICS
Valentina Boeva (ETH Zurich)
CANCER-SPECIFIC FOUNDATION MODELS: FRIEND OR FOE IN HEALTHCARE AI?
Fernando Camargo (Harvard University)
Joe Ecker (Salk Institute)
Rong Fan (Yale University)
SINGLE-CELL & SPATIAL OMICS TO DECODE HUMAN BIOLOGY AND DISEASE
Irene Ghobrial (Harvard University)
Caleb Lareau (MSKCC)
NEW TECHNOLOGIES ENABLING NEXT-GENERATION SINGLE-CELL GENOMICS
Romain Lopez (NYU)
MULTIMODAL POOLED GENETIC SCREENS INTEGRATING TRANSCRIPTOMICS AND IMAGE-BASED PHENOTYPES
Nick Navin (MD Anderson)
Karin Pelka (UCSF)
SPATIALLY ORGANIZED IMMUNE HUBS IN COLON CANCER
Alejo Rodriguez-Fraticelli (IRB Barcelona)
SINGLE-CELL ANALYSIS OF NORMAL AND LEUKEMIC BLOOD STEM CELL MEMORIES
Karthik Shekhar (UC Berkeley)
EVOLUTIONARY INSIGHTS INTO NEUROPROTECTION IN THE RETINA
Dimitris Skokos (Regeneron)
UNLOCKING THE IMMUNE SYSTEM: ADVANCED COMBINATION STRATEGIES FOR CANCER IMMUNOTHERAPY
Sanjay Srivatsan (University of Washington)
Aaron Streets (UC Berkeley)
Roser Vento-Tormo (Wellcome Sanger Institute)
GENE REGULATION OF HUMAN CELL SYSTEMS
Hongkui Zeng (Allen Institute)
DYNAMIC CHANGES OF BRAIN CELL TYPES IN DEVELOPMENT AND AGING

Learning Objectives:

•    Explore how single-cell innovations deepen our understanding of disease mechanisms
•    Encourage cross-disciplinary partnerships between biology experts and healthcare professionals
•    Facilitate translation of single-cell research into medical and therapeutic advancements
•    Highlight cutting-edge technological developments and their application to key biological problems

Educational Need:

Over the past decade, single-cell biology has expanded dramatically, driven by rapid advancements in next-generation sequencing technologies capable of profiling genomic, transcriptomic, epigenomic, and spatial characteristics of individual cells. As these techniques continue to evolve and their biological applications multiply, it has become increasingly important to review the current state of the field and chart its future trajectory, with a particular emphasis on harnessing single-cell technologies to improve our understanding and treatment of human disease.

Target Audience:

Biologists, computational researchers, clinicians, technology innovators, graduate students, and postdoctoral researchers.

IMPORTANT NOTICE: Registration prices are tied to a specific hotel room category and secured only once your balance is paid in full. As hotel availability decreases, registration prices may increase if reassignment to another room category is required. We encourage prompt registration and full payment to secure your place at the current price. Please reach out to us if you have any questions.