Human health is a single underlying state that no measurement observes directly: diagnoses, blood tests, molecular profiles and images each capture one facet at separate times. Inferring health from such evidence requires a representation that integrates every modality and is carried forward and revised as observations...
Z. Wang, O. Zhang, J. Wang et al.· medRxiv· 0 citations
This work supports the goal of dual-purpose clinical trial designs that integrate aging endpoints into studies for specific disease indications by identifying potential anti-aging shifts in senescence and metabolic processes alongside the anti-fibrotic activity of rentosertib.
Alex Zhavoronkov, F. Galkin, Shan Chen et al.· Nature Biotechnology· 1 citation
This work establishes novel exploratory transcriptomic candidates for innovative consensus biomarkers and delineate cancer hallmark signatures specific to EC and CC, yielding novel diagnostic and prognostic insights into EAOC and supporting further study of subtype-associated expression programs.
Pawel Kordowitzki, K. Ying· Antioxidants· 0 citations
Immune therapies act across cell-intrinsic programs, tissue ecosystems, and patient-specific immune states, yet most predictors address these scales separately. We used a governed evolutionary AI Scientist to construct the Immune World Model, an action-conditioned model that learns how interventions move immune states...
Tao-Yong Cui, Xi Wang, Zong-Hang Li et al.· 0 citations
This study presents ECloudGen, which uses latent diffusion to generate electron clouds from protein pockets and decodes them into molecules, and adopts two-stage training, which expands the chemical space accessible to generative drug design.
