Results 171 to 180 of about 151,404 (250)
Learned Conformational Space and Pharmacophore Into Molecular Foundational Model
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang +8 more
wiley +1 more source
Bayesian Graphical Models for Multiscale Inference in Medical Image-Based Joint Degeneration Analysis. [PDF]
Kumar R +7 more
europepmc +1 more source
An evolutionary molecular dynamics platform is used to design P1.6, a membrane‐active peptide that senses lipid packing defects in viral envelopes. P1.6 adopts a stabilized α‐helical structure upon membrane contact, disrupts virus‐like liposomes, and damages HIV‐1 particles.
Pascal von Maltitz +10 more
wiley +1 more source
The prevailing neglect of cellular hierarchies in current spatial transcriptomics deconvolution often obscures cellular heterogeneity and impedes the identification of fine‐grained subtypes. To address this issue, HIDF employs a cluster‐tree and dual regularization to systematically model cellular hierarchical structures.
Zhiyi Zou +5 more
wiley +1 more source
Are we ready to tackle perceptual segmentation of natural scenes? [PDF]
Coen-Cagli R, Mamassian P.
europepmc +1 more source
OPTRACE: Optical Imaging–Guided Transplantation and Tracking of Cells in the Mouse Brain
OPTRACE establishes an optical, two‐step platform for intracerebral cell therapy. Transparent glass pipettes enable real‐time, image‐guided delivery, while multiplex genetic labeling with two‐photon and bioluminescence readouts supports longitudinal single‐cell tracking and host–graft dynamics.
Jinghui Wang +10 more
wiley +1 more source
Benchmarking the geographic generalization of deep learning models for precipitation downscaling. [PDF]
Harder P +7 more
europepmc +1 more source
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li +8 more
wiley +1 more source
Reinforcement Learning and Decision Making in Depression in Adolescents and Young Adults: Insights from a New Model of the Probabilistic Reward Task. [PDF]
Cheng Z +6 more
europepmc +1 more source
IGF‐1 deficiency underlies poor ovarian response (POR), as reduced levels in follicular fluid and granulosa cells impair antral follicle formation and compromise reproductive outcomes. Including IGF‐1 as a biomarker significantly enhances the accuracy of models predicting both PORrisk and pregnancy success.
Zhu Hu +9 more
wiley +1 more source

