Results 121 to 130 of about 241,500 (289)
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
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
A retrospective analysis of scientific publications on the deep sea from 1987 to 2016
: The deep sea remains the least known biome. Despite this fact, anthropic activities have affected these regions in various ways. The objective of this study was to outline the scientific production scenario based on deep sea research and to analyze ...
HARRY BOOS +2 more
doaj +1 more source
Magneto‐X Effects in Magnetic Soft Materials and Their Applications
This review systematically explores magnetic soft materials (MSMs), a novel class of composites that transform under magnetic fields. It catalogs fundamental “Magneto‐X” effects, classifies materials by their matrix and magnetic fillers, and highlights transformative applications in soft robotics, biomedical devices, flexible electronics, etc. Finally,
Ziyin Xiang +5 more
wiley +1 more source
Scalable Electrochemical Concrete Fabrication and Closed‐Loop Recycling
The electrochemical‐driven recycling strategy establishes a reversible concrete material flow by extracting Ca, Si, Al, and Fe from concrete waste and regenerating functional feedstocks. These reversed products are reassembled into new concrete, which re‐enters service and ultimately returns to waste, enabling a closed‐loop, waste‐origin, and low ...
Hanxiong Lyu +7 more
wiley +1 more source
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li +7 more
wiley +1 more source
Research Status of Deep-Sea Polymetallic Nodule Collection Technology
The bottom of the ocean is rich in mineral resources, and deep-sea mining has been a research hotspot in recent years. As a key part of deep-sea mining operation, polymetallic nodule collection technology has been researched in many countries around the ...
Boying Liu +5 more
doaj +1 more source
A Forest of Blue - Canada's Boreal Forest, the World's Waterkeeper [PDF]
Describes how the lakes, rivers, and wetlands comprising the boreal forest preserve biodiversity, mitigate global climate change effects, and offer food and cultural benefits to rural communities.
core
Biomass‐ and solid waste‐derived sustainable single‐atom catalysts (Sus‐SACs) provide a cost‐effective and renewable approach to catalyst design. This review summarizes precursor selection, including AI‐assisted screening, synthesis strategies with emphasis on ultrafast methods, and advanced characterization techniques.
Hongzhe He +8 more
wiley +1 more source
Deep-sea mining: a potential solution to secure critical energy minerals availability
Critical energy minerals face persistent shortages. Deep-sea mining offers a potential supplement but raises environmental, technical, and governance concerns.
Chang Wang +3 more
doaj +1 more source

