Results 81 to 90 of about 46,598 (173)
This study presents a vascularized 3D tumor model to investigate immune–stromal–tumor interactions under allogeneic PBMC perfusion. While immune cells induced tumor shrinkage, they also promoted vascular regression, stromal activation, and cancer cell invasion.
Alexandra Raab +8 more
wiley +1 more source
Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu +4 more
wiley +1 more source
Size‐Modulated Mesoderm‐Endoderm Divergence and Myocardial Cavitation in Micropatterned Cardioids
Micropatterned cardioids, CRISPR‐engineered reporter hiPSCs, deep‐tissue imaging, and single‐cell RNA sequencing are integrated to model mesoderm‐endoderm co‐development. Heart‐foregut crosstalk promotes single large cavitation inside cardioids, resembling early heart chamber formation. ABSTRACT The human heart, originating from the splanchnic mesoderm,
Plansky Hoang +12 more
wiley +1 more source
Topological data analysis and topological deep learning beyond persistent homology: a review. [PDF]
Su Z +7 more
europepmc +1 more source
Machine Learning Discovery of Record‐Low Lattice Thermal Conductivity in Double Perovskites
A deep learning interatomic potential is introduced to predict forces for computing phonon properties and thermal transport behavior in double perovskites. Screening 9,709 compounds identifies 1,597 stable materials, and Boltzmann transport calculations including both three and four‐phonon scattering suggests a record‐low lattice thermal conductivity ...
Md Zaibul Anam +3 more
wiley +1 more source
Harmonic distortion reduction and dynamic stability in PMSG-CHBI wind energy systems via a dual optimization-prediction approach. [PDF]
Varghese LJ +3 more
europepmc +1 more source
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu +6 more
wiley +1 more source
Matrix Quantum Mechanics and Entanglement Entropy: A Review. [PDF]
Fliss JR, Frenkel A.
europepmc +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source

