Education Workshop

	The Healthcare Life Science AI/ML Immersion Workshop Hyunmin Kim Amazon Web Services (AWS) Korea
The Healthcare Life Sciences (HCLS) Immersion Day helps customers and partners by providing an end to end understanding of building ML solutions using HCLS domain use cases. It will cover feature engineering, understanding various in-built algorithms, and the steps needed to train, tune and deploy an ML model into a production-like environment. It guides you in bringing your own model, working through how to perform a “lift-and-shift” from an on-premises ML workload into the Amazon SageMaker platform. The workshop is primarily made for HCLS data scientists and researchers but can be executed by any person who would like to know more about machine learning with AWS.
Overview of the workshop

	Tutorial: Cell-segmentation Free Analysis of Spatial Transcriptomics Data with SSAM Dr. Jeongbin Park Pusan National University
Spatial transcriptomics has revolutionized our understanding of cellular function and organization by enabling the high-resolution mapping of gene expression within tissue contexts. However, traditional cell-segmentation methods often introduce biases and inaccuracies, complicating the analysis of spatial transcriptomics data. In this tutorial, I introduce SSAM, an analysis framework designed to overcome these limitations by leveraging spatially resolved gene expression densities without relying on predefined cell boundaries, allowing for a more accurate and unbiased analysis of tissue architecture and cellular heterogeneity. Participants will learn how to run SSAM for an example dataset, interpret its outputs, and integrate these results with other omics data. This tutorial is ideal for researchers and bioinformaticians seeking to enhance their spatial transcriptomics analyses with robust, segmentation-free methodologies.
Overview of the workshop

	The SpatialData framework: from raw data to interactive exploration (workshop) Dr. Luca Marconato European Molecular Biology Laboratory (EMBL)
Spatially resolved omics technologies are advancing our understanding of biological tissues by enabling new methods to characterize tissue structures and identify cell-cell interactions. However, managing spatial omics datasets is challenging due to diverse profiling technologies and fragmented file formats, compounded by data volumes that exceed standard computing memory. These obstacles hinder the creation of scalable, interoperable workflows and the reproducible sharing of findings within the scientific community. This workshop introduces the SpatialData framework, a Python-based solution designed to address these challenges. It covers data ingestion across different commercial technologies, unified data representation, manipulation techniques for multiple samples and modalities, and the creation of coordinated spatial frameworks. Participants will learn to visualize data, annotate datasets interactively, and utilize functions for cropping, annotation transfer, signal aggregation, and preparing datasets for deep learning applications. The workshop also emphasizes interoperability, ensuring accessibility across various software platforms and programming language
Overview of the workshop

	The Basics of Cloud Computing Workshop Yu Hyun Gong Linkvalue Inc.
This workshop covers fundamental concepts and practical use of cloud computing, focusing on configuring a genome analysis environment using GATK within a domestic cloud environment. It includes: 1. Introduction to basic cloud computing concepts. 2. Exploration of cloud reliability and high availability. 3. Understanding cloud scalability and efficiency. 4. Overview of cloud security principles. 5. Demonstration of resource creation concepts using a domestic CSP (Kakao Cloud). 6. Example of data processing using GATK on the domestic CSP (Kakao Cloud).
Overview of the workshop

	Biomedical Big data analysis for Bioinformatics in Kakaocloud Joo Dae ha Kakao Enterprise Corp.
This training course introduces Kakao Cloud essential services and general solutions. This course covers basic Kakao Cloud concepts related to computing, databases, storage, networks, monitoring, and security, and provides cloud experience through hands-on training on Kakao Cloud. This course covers the concepts necessary to increase your understanding of Kakao Cloud services, so you can make informed decisions about solutions that meet your needs. Throughout the course, you will learn how to build, compare, and apply highly available, fault-tolerant, scalable, and cost-effective cloud solutions.
Overview of the workshop