Nature Search

An interpretable AI system reduces false-positive MRI diagnoses by stratifying high-risk breast lesions

Diagnosing breast cancer through MRI is limited by high false-positive rates and inter- reader variability, leading to unnecessary biopsies. In here, the authors find that the BI-RADS 4 Lesions Analysis System (BL4AS) model improves diagnostic accuracy and reduces unnecessary biopsies as well as inter-reader variability

Yanting Liang
Zhitao Wei
Zhenwei Shi
ResearchOpen Access02 Feb 2026
Nature Communications

P: 1-14
Small alkali cations direct CO electroreduction to hydrocarbons rather than oxygenates

Electrochemical CO reduction to multi-carbon products offers a carbon-negative approach to produce chemicals, but the intricate reaction pathways lead to a broad spectrum of products. Now it has been shown that alkali cations alter the mechanistic pathways that govern the reaction selectivity involved in the formation of hydrocarbons versus oxygenates.

Weiyan Ni
Yongxiang Liang
Edward H. Sargent
Research29 Jan 2026
Nature Chemistry

P: 1-8
Longitudinal MRI-based deep learning model for predicting pathological complete response in breast cancer: a multicenter, retrospective cohort study

Xu Huang
Zeyan Xu
Zaiyi Liu
ResearchOpen Access05 Jan 2026
npj Precision Oncology

P: 1-12
Heat-driven pH swing for efficient CO₂ capture and release

Reducing energy consumption is a key priority in carbon capture and release. Now, a thermally responsive pH-swing mediator for CO₂ capture is presented that operates at an impressively low regeneration temperature of 60 °C, making it compatible with a solar-driven capture–release cycle.

Zeyan Liu
Edward H. Sargent
News & Views19 Dec 2025
Nature Chemical Engineering

Volume: 3, P: 22-23
Plasmonic Ni-doped W₁₈O₄₉ with dual active sites drives efficient methanol dehydration to dimethyl ether

This study introduces Ni-doped W₁₈O₄₉ nanowires that integrate low-coordinated W and Ni dual active sites with surface plasmon resonance, facilitating solar-driven methanol dehydration for efficient dimethyl ether generation.

Dehua Tian
Yinlan Liang
Zaizhu Lou
ResearchOpen Access17 Nov 2025
Nature Communications

Volume: 16, P: 1-12
Interconnected nanoconfining pore networks enhance catalyst CO₂ interaction in electrified reactive capture

Electrified reactive capture converts CO₂ from carbonate solutions but suffers from low Faradaic efficiency. Here, the authors report a templated synthesis with defined pores and Ni single atoms to accumulate CO₂, achieving 46% energy efficiency to syngas at 300 mA/cm²

Hengzhou Liu
Lun An
Edward H. Sargent
ResearchOpen Access04 Jul 2025
Nature Communications

Volume: 16, P: 1-13
Pt catalyst protected by graphene nanopockets enables lifetimes of over 200,000 h for heavy-duty fuel cell applications

A graphene-nanopocket-protected pure Pt nanocatalyst has been reported for heavy-duty-vehicle fuel cells that deliver high power density, high efficiency and exceptional durability with >200,000-h projected lifetime.

Zeyan Liu
Bosi Peng
Yu Huang
Research24 Mar 2025
Nature Nanotechnology

Volume: 20, P: 807-814
Embedded oxide clusters stabilize sub-2 nm Pt nanoparticles for highly durable fuel cells

Pt-based catalysts are state-of-the-art cathodes in fuel cells, but they experience a trade-off between activity and durability. Now a Pt nanocatalyst with embedded cobalt oxide clusters is shown to promote stability during proton exchange membrane fuel cell operation without sacrificing activity, achieving 88.2% mass activity retention after 30,000 accelerated stress test cycles.

Bosi Peng
Zeyan Liu
Yu Huang
Research01 Jul 2024
Nature Catalysis

Volume: 7, P: 818-828
Graphene-nanopocket-encaged PtCo nanocatalysts for highly durable fuel cell operation under demanding ultralow-Pt-loading conditions

Ultrafine catalysts are desirable for the reduction of fuel cell costs but are intrinsically unstable. Here the authors report graphene-nanopocket-encaged PtCo catalysts with exceptional durability under the demanding ultralow-Pt-loading condition while delivering a satisfactory fuel cell performance.

Zipeng Zhao
Zeyan Liu
Yu Huang
Research25 Jul 2022
Nature Nanotechnology

Volume: 17, P: 968-975
Research waste in randomized clinical trials of degenerative spinal diseases: a cross-sectional study

Zeyan Liang
Nan Zheng
Chunmei Chen
ResearchOpen Access31 Oct 2025
Scientific Reports

Volume: 15, P: 1-12
A scalable solar-driven photocatalytic system for separated H₂ and O₂ production from water

Photocatalytic water splitting offers a sustainable method for producing green hydrogen but faces challenges due to inefficient materials and systems. Here, the authors report a design for a photocatalytic water-splitting system that efficiently produces hydrogen and oxygen in separate cells.

Hui Fu
Yaqiang Wu
Peng Wang
ResearchOpen Access24 Jan 2025
Nature Communications

Volume: 16, P: 1-12
Experimental Sabatier plot for predictive design of active and stable Pt-alloy oxygen reduction reaction catalysts

The widespread adoption of fuel cells requires exhaustive screening for highly active and durable Pt-based catalysts for the oxygen reduction reaction. Now a binary descriptor based on experimental parameters extracted from X-ray absorption spectroscopy is used to predict the catalytic activity and stability of a wide range of Pt-alloy catalysts.

Jin Huang
Luca Sementa
Yu Huang
Research09 Jun 2022
Nature Catalysis

Volume: 5, P: 513-523
Soil microbial community structure and catabolic activity are significantly degenerated in successive rotations of Chinese fir plantations

Zeyan Wu
Jianjuan Li
Chengzhen Wu
ResearchOpen Access27 Jul 2017
Scientific Reports

Volume: 7, P: 1-7
An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancer

Deep learning for medical image analysis is a promising new avenue to predict treatment response, however the clinical application of these methods has been so far limited. Here, the authors propose a model to predict chemotherapy response in breast cancer in real world clinical settings.

Yuan Gao
Sofia Ventura-Diaz
Ritse Mann
ResearchOpen Access07 Nov 2024
Nature Communications

Volume: 15, P: 1-17
Associations of essential trace metals with telomere length in general population: a cross-sectional study

Jiahui Rong
Qiumei Liu
Zhiyong Zhang
ResearchOpen Access11 Mar 2025
Scientific Reports

Volume: 15, P: 1-10
Multimodal prediction based on ultrasound for response to neoadjuvant chemotherapy in triple negative breast cancer

Maohua Lyu
Shouheng Yi
Zhenwei Shi
ResearchOpen Access25 Jul 2025
npj Precision Oncology

Volume: 9, P: 1-11
Identifying novel proteins underlying bipolar disorder via integrating pQTLs of the plasma, CSF, and brain with GWAS summary data

Zhehao Xiao
Nan Zheng
Zeyan Liang
ResearchOpen Access27 Aug 2024
Translational Psychiatry

Volume: 14, P: 1-10
Microwave-coupled optical bistability in driven and interacting Rydberg gases

Zhehua Zhang
Zeyan Zhang
Jie Ma
ResearchOpen Access12 Mar 2025
npj Quantum Information

Volume: 11, P: 1-8

Search

Filter By:

Search

Quick links