Paper Published: Comprehensive Review of Black-Box Optimization in Life Sciences Published in Allergology International

On September 22, 2025, Epistra and collaborators published a comprehensive review paper titled “Black-box optimization in immunology and beyond: A practical guide to algorithms and future directions” in the international journal Allergology International.

Paper Overview

In life science experiments, each trial incurs significant cost and time. Efficient experimental design that leverages past data has become increasingly important, and in recent years, black-box optimization (BBO) has attracted attention as a solution, with growing applications in both academia and industry.

BBO-related methods — Bayesian optimization, DBTL, active learning, iterative screening, and directed evolution — have often been discussed separately, hindering cross-disciplinary understanding.

This review organizes and integrates these approaches, positioning them within the value chain of biomedical R&D. It provides a unified framework for cross-disciplinary discussion and offers researchers and practitioners comprehensive coverage from principles to applications and implementation procedures.

Main Contents

• Foundational Principles: Explanation of Bayesian optimization (BO) and evolutionary algorithms (EA)
• Life Science-Specific Challenges: Experimental noise, sample constraints, and safety considerations
• R&D Applications: Five phases covering molecular design, cell and genetic engineering, upstream processes, downstream processes, and clinical applications
• Practical Guidance: Experimental design, parameter settings, and implementation support
• Future Perspectives: Foundation model integration, expansion of multi-objective optimization, autonomous robotics, and regulatory compliance

The appendix includes 56 reference papers in Excel format for research teams and organizations.

Paper Information

• Title: Black-box optimization in immunology and beyond: A practical guide to algorithms and future directions
• Authors: Takanori Kawabata, Taku Tsuzuki, Tsuyoshi Tatsukawa, Kota Matsui, Eiryo Kawakami
• Journal: Allergology International (Review, Open Access)
• Publication Date: September 22, 2025 (Online ahead of print)
• DOI: 10.1016/j.alit.2025.08.006