Results 211 to 220 of about 496,830 (322)
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu +7 more
wiley +1 more source
Comment on “De Novo Reconstruction of 3D Human Facial Images from DNA Sequence”
This comment examines AI‐driven DNA‐based facial reconstruction, focusing on the Difface model. While such technologies promise biomedical and forensic applications, they pose significant ethical, legal, and methodological challenges. We emphasize transparency, benchmarking, and rigorous validation to avoid misinterpretation and misuse.
Jennifer K. Wagner +3 more
wiley +1 more source
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
What is the impact of an allied health service-learning programme for rural communities: a study protocol using the RE-AIM/PRISM framework. [PDF]
McNeil R +5 more
europepmc +1 more source
Solid predominant lung adenocarcinoma exhibits an immune‐excluded, ferroptosis‐resistant niche enriched with IL4I1⁺ TAMs and TDO2⁺ myCAFs. Spatial and multi‐omics analyses reveal AhR‐driven crosstalk that promotes T cell exhaustion and therapy resistance. Blocking AhR with CH‐223191 restores ferroptosis sensitivity, and its combination with ferroptosis
Zhaoxuan Wang +16 more
wiley +1 more source
Human Subjects Protection: A Source for Ethical Service-Learning Practice.
Rachael Wendler
openalex +1 more source
This study presents a hybrid quantum‐classical framework for accurate prediction of protein structures on utility‐level quantum processors. We evaluate the practical application of the Variational Quantum Eigen‐solver (VQE) in protein structure prediction and demonstrate its superiority over state‐of‐the‐art deep learning methods in molecular docking ...
Yuqi Zhang +10 more
wiley +1 more source
Hungry for Knowledge: Octopamine Signaling Regulates Hunger‐Enhanced Olfactory Learning
Researchers demonstrate that hunger state facilitates both aversive and appetitive olfactory learning. Two distinct octopamine signaling pathways are involved in aversive or appetitive memory formation in the hunger state. And, hunger state also facilitates the formation of both types of memories via an evolutionarily conserved norepinephrine (the ...
Huijuan Zhao +14 more
wiley +1 more source
Building pre-service teachers' resilience through Service-Learning: an explanatory sequential mixed methods study. [PDF]
Sánchez-Jiménez M +3 more
europepmc +1 more source
Mapping Charge Interactions in Intrinsically Disordered Proteins
This study presents analytical models to predict intrachain distances in intrinsically disordered proteins (IDPs), accounting for charge patterning, salt concentration, and electrostatic effects. Validated against single‐molecule FRET data, a minimal‐parameter polymer model is identified that captures key interactions and chain dimensions. These models
Michael Phillips +14 more
wiley +1 more source

