Results 171 to 180 of about 9,205,712 (248)

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

open access: yesAdvanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang   +10 more
wiley   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

open access: yesAdvanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko   +8 more
wiley   +1 more source

Twin‐Lever Multifunctional Meta‐Optics With High Longitudinal Tolerance

open access: yesAdvanced Science, EarlyView.
We introduce a single‐layer, CMOS‐compatible metasurface that allows for polarization‐programmable, achromatic broadband dual‐mode imaging with high longitudinal tolerance. The twin‐lever design combines bright‐field focusing and vortex‐based edge‐enhanced imaging while managing axial intensity distribution from 488 to 633 nm.
Isma Javed   +10 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

open access: yesAdvanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li   +3 more
wiley   +1 more source

MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis

open access: yesAdvanced Science, EarlyView.
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort   +3 more
wiley   +1 more source

Electrically Tunable Graphene‐Metal Hybrid Metasurfaces for High‐Efficiency, Broadband Mid‐Infrared Transmission Modulation

open access: yesAdvanced Science, EarlyView.
A graphene‐metal hybrid transmissive metasurface enables electrically tunable mid‐infrared transmission modulation through ionic gel top gating. By combining graphene with a metallic slit metasurface, high modulation efficiency and broadband operation are achieved simultaneously, demonstrating efficient electrical control of mid‐infrared transmission ...
Heonhak Ha   +4 more
wiley   +1 more source

Ribonucleotides Amplify Mitochondrial DNA‐Driven cGAS–STING Activation via FdUMP‐ribonucleotide Hybrid Particles to Potentiate Chemoimmunotherapy

open access: yesAdvanced Science, EarlyView.
This work develops a metabolic sharing strategy that employs cytidine monophosphate (CMP) to competitively reprogram floxuridine (FUDR) pyrimidine metabolism in colorectal tumor cells. Elevated intracellular FdUMP induces nucleotide imbalance, drives mitochondrial DNA release and cGAS‐STING innate immune cascade activation, and potentiates robust ...
Chao Wang   +10 more
wiley   +1 more source

A Multi‐Scale Computational Framework for Evaluating Wireless Neuromodulation Feasibility via Magnetoelectric Nanoparticles

open access: yesAdvanced Science, EarlyView.
A multiscale computational framework links single‐nanoparticle magnetoelectric behavior to tissue‐level electric field distributions, integrating experimental data from nanoparticle characterization and in vitro stimulation setups. Applied to a cortical slice configuration, the framework predicts optimal MENP concentrations and stimulation parameters ...
Marta Bonato   +10 more
wiley   +1 more source

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

open access: yesAdvanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang   +5 more
wiley   +1 more source

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang   +6 more
wiley   +1 more source

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