Results 171 to 180 of about 497,884 (333)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Nucleation Kinetics Reveals a Distinct Biological Function Space of Biomolecular Condensates
This study utilizes microfluidics to quantify the nucleation rates of dense liquid phases within dilute solutions and of the reverse process, in which dilute voids nucleate inside condensates. The interfacial tension is identified as the key determinant of both processes.
Leif‐Thore Deck +5 more
wiley +1 more source
Sub‐Unit‐Cell Logic Governs Transport in TPMS Architectures
ABSTRACT Next‐generation energy, thermal, and chemical systems require architectures capable of highly efficient transport across multiple length scales. Triply periodic minimal surfaces (TPMS), first conceptualized in 1865, offer inherently scalable geometries with exceptional transport potential, yet mechanistic links between topology and performance
Haozhang Zhong +16 more
wiley +1 more source
A Simple Parameterization of Land Surface Processes for Meteorological Models
J. Noilhan, S. Planton
semanticscholar +1 more source
Photonuclear Population of 229m,gTh in Th‐Doped Crystals Toward Nuclear Clock Development
This study demonstrates a novel photonuclear approach for producing the nuclear clock isomer 229mTh in thorium‐doped crystals, overcoming current supply limitations. Through cross‐section calculations and Monte Carlo simulations, we identify optimal crystal materials and irradiation conditions, achieving high signal‐to‐noise ratios.
Hao‐Yang Lan +9 more
wiley +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
Facet‐engineered PVP‐capped CuFeSe2 nanocrystals exhibit potent, selective antifungal activity by strongly binding cell‐wall mannan, enabling vacuolar entry and organelle disruption. High‐index facets show superior mannan affinity, validated by theoretical calculations and experiments. CFS‐P induces vacuolar cavitation, mitochondrial abnormalities, and
Zhaohui Wang +10 more
wiley +1 more source
MCMC Correction of Score-Based Diffusion Models for Model Composition. [PDF]
Sjöberg A +4 more
europepmc +1 more source

