AbICL: Revolutionizing Antibody Affinity Ranking with ICL

Study reveals why in-context learning fails on complex specification-heavy tasks and how fine-tuning can help

In-context learning (ICL) has become the default method for using large language models (LLMs), making the exploration of its limitations an

AI-Driven Protein Binder Design: Progress and Pitfalls in Evaluation Practices

Build better molecules with frontier AI models. With AI, we help every scientist reshape biology.

Global protein-ligand binding affinity profiling via photocatalytic labeling

New approach integrates protein-ligand binding affinity profiling and photocatalytic labeling into a single step, enhancing drug discovery w

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Analysis of multimodal and multidimensional data capturing dynamic interactions between diverse cell populations is a current challenge in b

Next-generation immune models: bioinks, 3D bioprinting, and future directions

Online now: Next-generation immune models: bioinks, 3D bioprinting, and future directions

AI in Biopharma CMC: Practical Applications for Real GMP Environments