BlueMeme Announces Presentation on Quantum AI Genome Analysis at ASHG 2025

Introduction to BlueMeme's Recent Achievement

Tokyo-based company BlueMeme is thrilled to announce its participation in the American Society of Human Genetics (ASHG) 2025 Annual Meeting. This prestigious international event will take place in Boston, from October 14th to October 18th, 2025. The presentation, focusing on quantum AI's role in genome analysis, underscores the company's commitment to innovate in the field of biomedical research.

Collaborative Research and Presentation

The noteworthy study presented by BlueMeme results from a collaborative effort with Professor Masaaki Nagasaki’s laboratory at Kyushu University’s Institute of Biomedical Defense Medicine. This initiative aims to improve genomic analysis by utilizing cutting-edge quantum machine learning techniques to predict transcription factor binding more accurately than traditional machine learning methods. Attendees can look forward to the poster session on October 17th, where lead researcher Taichi Matsubara will showcase their findings from 14:30 to 16:30 (local time).

Significance of the ASHG Annual Meeting

The ASHG remains one of the largest international conferences in the field of human genetics and genomics, attracting around 8,000 researchers, clinicians, and industry professionals each year. The event serves as a platform to share the latest breakthroughs and technological advancements among the global scientific community, making BlueMeme’s acceptance to present there a remarkable recognition of its research prowess.

Presentation Overview

Title of the Presentation: Quantum Machine Learning for Robust Transcription Factor Binding Prediction

In the quest to understand how genes are expressed, predicting where transcription factors bind to DNA is crucial. Previously, techniques such as deep learning were employed, but our study implements a novel model utilizing quantum machine learning, which leverages the computational power of quantum computing to enhance AI learning. This innovation addresses previous challenges in predictive accuracy experienced by conventional AI methods, especially when dealing with limited genomic data.

Key Problems Addressed:

- Problem: Traditional AI approaches exhibited decreased accuracy when leveraging scarce genomic data.
- Solution: The quantum machine learning model maintains high predictive accuracy, even with fewer data points.

This approach not only enhances research and development efficiency in genomic analysis but also holds significant implications for various fields, including:

- Accelerated Drug Discovery: By further understanding the regulatory mechanisms of disease-related genes, this technology aids in identifying potential drug development targets.
- Broader Applications: The application of quantum computational algorithms in life sciences stands to advance research efforts significantly.

Future Prospects: From Academic Success to Practical Application

This collaborative endeavor with Kyushu University is not the first for BlueMeme; previous joint ventures have also gained recognition in international journals, affirming their academic impact. BlueMeme's focus on merging quantum AI with genome analysis is part of a broader strategy to push the boundaries of technology implementation in society. The company is dedicated to deepening its academic achievements and translating these insights into practical applications in the coming years.

Further details regarding this research will be available following its acceptance in international academic journals.

About BlueMeme

Founded in 2012, BlueMeme introduced the low-code development platform „OutSystems” to Japan, ushering in a new era in the low-code development market. As of September 2025, the company boasts a track record of over 180 low-code product implementations and 5,000 services utilizing low-code techniques. In addition, with the training of over 6,100 OutSystems professionals, BlueMeme has earned the distinction of being Asia's first OutSystems Premier Partner.

Utilizing its unique development methodology, AGILE-DX, BlueMeme is transforming how agile and low-code methodologies are effectively employed. The company remains committed to advancing next-generation information system development using the latest technologies to enhance the international competitiveness of Japanese enterprises.