Results 231 to 240 of about 876,365 (298)
This study introduces Cadict, an EGFR‐targeted nanodrug that co‐delivers cuproptosis and disulfidptosis inducers to overcome immune resistance. Cadict synergistically enhances tumor cytotoxicity and sensitizes cancers to ICIs by upregulating PD‐L1 via an Eif5b‐dependent translation mechanism, fostering a potent antitumor immune response and ...
Shaoqing Huang +12 more
wiley +1 more source
Employing in-context learning prompts with large language models for drone routing in delivery services. [PDF]
Masoud M, Elhenawy M, Abdelhay A.
europepmc +1 more source
By adjusting Ga's doping in Cu–Sn alloy, an ultra‐high elongation of 100.8% is achieved in first time. Ga forms a stable solid solution structure and a stronger electron exchange with Cu. This enhances strength‐ductility synergistically by tuning SFE to balance twinning and slip.
Dazhuo Song +15 more
wiley +1 more source
This study maps the spatiotemporal distribution of hydrophobic toxicants and endogenous metabolites in the developing placenta and fetus. By integrating mass spectrometry imaging with snRNA‐seq, we identify SR‐B1 as a key transporter driving early‐gestation xenobiotic transfer and reveal a critical exposure window associated with persistent fetal ...
Yixuan Huang +10 more
wiley +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
Prompt-based bioinformatic pipeline generation for a multi-step metaviral workflow. [PDF]
Ma P +7 more
europepmc +1 more source
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su +13 more
wiley +1 more source
Beyond automation: How IT professionals utilize the invisible AI arm? [PDF]
Efremov L, Petrov I, Nikolovska I.
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

