Results 201 to 210 of about 157,678 (311)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
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

Optimal Grazing Exclusion Duration to Enhance Soil Carbon Sequestration in Degraded Grasslands

open access: yesAdvanced Science, EarlyView.
Across China, grazing exclusion reaches the national mean soil organic carbon recovery benchmark sooner in high‐MAP regions (> 500 mm), but recovery is much slower where MAP < 300 mm. Scaling this strategy to 70% of China's degraded grasslands would sequester about 1.52 Pg of soil carbon over 10 years—roughly 17% of annual global fossil‐fuel emissions.
Bin Zhang   +9 more
wiley   +1 more source

Vacuum–Laser Fabrication of Programmable Soft Actuators

open access: yesAdvanced Science, EarlyView.
A rapid and accessible fabrication strategy for inflatable soft actuators is presented, combining vacuum sealing with laser cutting of low‐cost thermoplastic pouches. The method enables precise sealing, fast fabrication, and programmable multi‐cell geometries.
Ashkan Rezanejad   +5 more
wiley   +1 more source

A Modular and Programmable Cas13d Platform for RNA Single Nucleotide Variant Detection

open access: yesAdvanced Science, EarlyView.
A scenario‐guided Cas13d platform enables configurable single nucleotide variant ribonucleic acid diagnostics through rule‐based guide design and ribonucleic acid binding domain engineering, supporting amplification‐free ultrasensitive detection and amplification‐coupled robust detection for accurate mutation classification in clinical tumor specimens.
Zeyu Wang   +8 more
wiley   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

open access: yesAdvanced Science, EarlyView.
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

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