Radio waves are shown to modulate fluorescence and associate spin chemistry in proteins.

SIGnature enables scalable cross-dataset analyses by combining explainable artificial intelligence with RNA foundation models.

QuantUMS implements uncertainty estimation for protein quantification in mass spectrometry.

A wearable ultrasound device is optimized for continuous monitoring of pregnancies.

A computational redesign strategy improves evolved prime editors.

Prime editing is improved with engineered RNA-stabilizing motifs.

This Comment explores artificial intelligence-driven strategies to accelerate the clinical translation of multimodal wearable sensors. We outline key data-science challenges and highlight disease contexts in which these systems could support therapeutic interventions.

Building a living cell from scratch requires overcoming a bottleneck that has remained unresolved despite decades of progress: orchestrating the spatiotemporal integration of core functional modules. To tackle this barrier, the SynCell Asia Initiative outlines a strategy for developing core functional modules followed by their systems-level integration through the establishment of a centralized, artificial intelligence (AI)-driven biofoundry.

Faster drug discovery, optimized drug design, even programmable therapeutics: AI is impacting R&D. Data and development bottlenecks remain.

New approaches to antivenoms for snakebite lean on cutting-edge techniques, but can they successfully be brought to market?