The goal of the 24 th International Workshop on Data Mining in Bioinformatics (BIOKDD 2025) is to encourage KDD researchers to solve the numerous problems and challenges in Bioinformatics using Data Mining technologies.Based on the organizers' expertise and communities, BIOKDD 2025 features the theme "Generative AI in Biomolecular Designs".This theme encourages using large language models to design and optimize proteins or other biomolecules such as compounds, natural products, and RNAs with generative AI techniques.We also welcome broader research applying data mining to address biomedical problems.The key goal is to accelerate the convergence between Data Mining and Bioinformatics communities to expedite discoveries in basic biology, medicine and healthcare.

The goal of the 22 nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023) is to encourage KDD researchers to solve the numerous problems and challenges in Bioinformatics using Data Mining technologies.Based on the organizers' expertise and communities, BIOKDD 2023 features the theme "Large-Scale Data-Driven Methods for Bioinformatics".This theme encourages the use of high-performance computing (HPC) to support the training of large machine learning models for problems in Bioinformatics and Computational Biology.The key goal is to accelerate the convergence between Data Mining and Bioinformatics communities to expedite discoveries in basic biology, medicine and healthcare.The goal of the 23 rd International Workshop on Data Mining in Bioinformatics (BIOKDD 2024) is to encourage KDD researchers to solve the numerous problems and challenges in Bioinformatics using Data Mining technologies.Based on the organizers' expertise and communities, BIOKDD 2024 features the theme "Advancing Bioinformatics with LLMs and GenAI".This theme encourages the use of large language models and generative artificial intelligence to solve problems in Bioinformatics and Computational Biology.The key goal is to accelerate the convergence between Data Mining and Bioinformatics communities to expedite discoveries in basic biology, medicine and healthcare.

The ACM KDD 2024 Health Day theme, "Building Health AI Ecosystem: From Data Harmonization to Knowledge Discovery," highlights the transformative potential of AI-driven ecosystems in healthcare, translational biomedical research, and basic biological research. This extended abstract discusses recent advancements, challenges, and future directions, focusing on integrating AI-ready data sets, interdisciplinary collaborations, and ethical AI practices. It aims to catalyze discussions on the potential of AI ecosystems in revolutionizing healthcare and related fields.

The goal of the 22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023) is to encourage KDD researchers to solve the numerous problems and challenges in Bioinformatics using Data Mining technologies. Based on the organizers' expertise and communities, BIOKDD 2023 features the theme ''Large-Scale Data-Driven Methods for Bioinformatics.'' This theme encourages the use of high-performance computing (HPC) to support the training of large machine learning models for problems in Bioinformatics and Computational Biology. The key goal is to accelerate the convergence between Data Mining and Bioinformatics communities to expedite discoveries in basic biology, medicine and healthcare.

The goal of the 21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022) is to encourage KDD researchers to solve the numerous problems and challenges in Bioinformatics using Data Mining technologies. Based on the organizers' expertise and communities, BIOKDD 2022 features 2 closely related themes "Biomedical Ontologies" and "Biological Data Visualization". These themes encourage the knowledge graph community and the data visualization community to work together to solve the many challenging problems in Bioinformatics with new perspectives. The key goal is to accelerate the convergence between Data Mining and Bioinformatics communities to expedite discoveries in basic biology, medicine and healthcare.

The goal of the 20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021) is to encourage KDD researchers to tackle the numerous problems and challenges in Bioinformatics using Data Mining technologies. Based on the organizers' expertise and the BIOKDD communities, BIOKDD 2021 features the theme of "Artificial Intelligence in Medicine". This topic focuses on the use of machine learning and data mining techniques for the analysis of large amounts of heterogeneous, complex, biological and medical data, with a particular focus on deep learning methods that have seen rapid advance and wider adoption in Bioinformatics (e.g., DeepVariant, AlphaFold 2). We also particularly welcome COVID-19 related research. The key goal is to accelerate the convergence between Data Mining and Bioinformatics communities to expedite discoveries in basic biology, medicine and healthcare.

Started in 2006 as a specialized workshop in the field of text mining applied to biomedical informatics, DTMBIO (ACM international workshop on Data and Text Mining in Biomedical Informatics) has been held annually in conjunction with one of the largest data management conferences, CIKM, bringing together researchers working on computer science and bioinformatics area. The purpose of DTMBIO is to foster discussions regarding the state-of-the-art applications of data and text mining on biomedical research problems. DTMBIO 2016 will help scientists navigate emerging trends and opportunities in the evolving area of informatics related techniques and problems in the context of biomedical research.