Female sexual behavior is fundamentally coupled to reproductive state, requiring the dynamic and coordinated regulation of sexual receptivity and rejection across the estrous cycle. In mice, these opposing behaviors are controlled by distinct neurona...
Boltz-2 has enabled accurate binding affinity prediction by leveraging co-folded protein-ligand structures, but the absence of a public training recipe has limited its use in active drug discovery projects, where new experimental measurements and con...
Foundation models and deep learning systems are increasingly proposed as core components of "virtual cells" capable of forecasting transcriptomic responses to unseen perturbations. Yet rigorous evaluation of perturbation prediction in high-dimensiona...
While multi-species genomic language models have advanced biological representation learning, high-quality, single-species foundation models for crops remain scarce. Leveraging recently expanded rice pangenome resources, we introduce OryzaG3, a speci...
Hibernating bears show remarkable metabolic suppression. Their decline in core body temperature (Tb) is moderate(from 38{degrees}C to 30-35{degrees}C), but their metabolism declines as much as 75%. To understand the role of sleep in this hypometaboli...
Infectious and immune-mediated diseases (IIDs) represent a broad and rapidly expanding biomedical literature domain in which scalable evidence extraction, disease ontology refinement, and interpretable knowledge integration are essential for biomedic...
Artificial intelligence and machine learning for computer vision (CV) and image recognition is a rapidly evolving field with multiple potential applications in plant genomics. While CV has been widely adopted by the research community for plant pheno...
Driven by the rise of antimicrobial resistance, antimicrobial peptides (AMPs) have emerged as promising therapeutics capable of targeting multidrug-resistant pathogens. Because identifying AMPs and their specific targets requires costly and labor-int...
Neuronal activity patterns change continuously over days and weeks, a phenomenon known as representational drift. Despite this, the geometric structure of population representations, namely the pairwise similarities between stimulus-evoked activity p...
DNA sequence-to-expression models have advanced rapidly, yet they still generalize poorly beyond their training distribution, limiting their use for tasks such as variant effect prediction. Active learning has improved data efficiency across many mac...
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