Nature Search

Bridging chemistry and artificial intelligence by a reaction description language

Xiong et al. introduce ReactSeq, a reaction description language that captures molecular editing operations in chemical reactions. It enables language models to excel in retrosynthesis prediction and reaction representation.

Jiacheng Xiong
Wei Zhang
Mingyue Zheng
Research13 May 2025
Nature Machine Intelligence

Volume: 7, P: 782-793
Red blood cell count and cystatin C as the specific biomarkers for diabetic retinopathy from diabetes mellitus: a case–control study

Zheng Li
Jie Li
Lulin Huang
ResearchOpen Access26 Nov 2024
Scientific Reports

Volume: 14, P: 1-6
An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors

Respiratory complications after a COVID infection are a growing concern, but follow-up chest CT scans of COVID-19 survivors hardly present any recognizable lesions. A deep learning-based method was developed that calculates a scan-specific optimal window and removes irrelevant tissues such as airways and blood vessels from images with segmentation models, so that subvisual abnormalities in lung scans become visible.

Longxi Zhou
Xianglin Meng
Xin Gao
ResearchOpen Access23 May 2022
Nature Machine Intelligence

Volume: 4, P: 494-503
Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer

The ChangKang (Heathy Bowel) project was established to collect molecular and clinical information of a thousand Chinese colorectal cancer patients. Here, the authors present the genomic landscape of the ChangKang cohort and find a subgroup of patients defined by abnormal mitochondrial copy numbers.

Qi Zhao
Feng Wang
Rui-Hua Xu
ResearchOpen Access29 Apr 2022
Nature Communications

Volume: 13, P: 1-17
Trend analysis and forecast of daily reported incidence of hand, foot and mouth disease in Hubei, China by Prophet model

Cong Xie
Haoyu Wen
Shuqiong Huang
ResearchOpen Access14 Jan 2021
Scientific Reports

Volume: 11, P: 1-8
Mettl3-mediated mRNA m⁶A methylation promotes dendritic cell activation

Here the authors examine how m⁶A modification is involved in innate immunity. They show that RNA methyltransferase Mettl3-mediated mRNA m⁶A methylation promotes dendritic cell (DC) activation and function, and in promoting DC-based T cells responses.

Huamin Wang
Xiang Hu
Xuetao Cao
ResearchOpen Access23 Apr 2019
Nature Communications

Volume: 10, P: 1-12
Neoleukin-2/15-armored CAR-NK cells sustain superior therapeutic efficacy in solid tumors via c-Myc/NRF1 activation

Jianhua Luo
Meng Guo
Xuetao Cao
ResearchOpen Access03 Mar 2025
Signal Transduction and Targeted Therapy

Volume: 10, P: 1-14
Improving EFL speaking performance among undergraduate students with an AI-powered mobile app in after-class assignments: an empirical investigation

Ma Mingyan
Nooreen Noordin
Abu Bakar Razali
ResearchOpen Access15 Mar 2025
Humanities and Social Sciences Communications

Volume: 12, P: 1-15
Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China

Wei Liu
Dongming Wang
Weihong Chen
ResearchOpen Access01 Jul 2021
Scientific Reports

Volume: 11, P: 1-9
Impact of pulmonary infection and antibiotic use on recurrent myocardial infarction in patients with myocardial infarction

Zhican Liu
Zi Gu
Mingyan Jiang
ResearchOpen Access29 Apr 2025
Scientific Reports

Volume: 15, P: 1-12
Correction to: MicroRNA in vivo precipitation identifies miR-151-3p as a computational unpredictable miRNA to target Stat3 and inhibits innate IL-6 production

Xiang Liu
Xiaoping Su
Xuetao Cao
Amendments and Corrections27 Nov 2019
Cellular & Molecular Immunology

Volume: 17, P: 110
Effect of different courses and durations of invasive mechanical ventilation on respiratory outcomes in very low birth weight infants

Yang Yang
Xin-yue Gu
Joseph Ting
ResearchOpen Access03 Nov 2023
Scientific Reports

Volume: 13, P: 1-8
Salvianolic acid A as a multifunctional agent ameliorates doxorubicin-induced nephropathy in rats

Hua-Ying Fan
Ming-Yan Yang
Xin Che
ResearchOpen Access21 Jul 2015
Scientific Reports

Volume: 5, P: 1-11
MicroRNA in vivo precipitation identifies miR-151-3p as a computational unpredictable miRNA to target Stat3 and inhibits innate IL-6 production

Xiang Liu
Xiaoping Su
Xuetao Cao
Research11 Sept 2017
Cellular & Molecular Immunology

Volume: 15, P: 99-110

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Bridging chemistry and artificial intelligence by a reaction description language

Red blood cell count and cystatin C as the specific biomarkers for diabetic retinopathy from diabetes mellitus: a case–control study

An interpretable deep learning workflow for discovering subvisual abnormalities in CT scans of COVID-19 inpatients and survivors

Comprehensive profiling of 1015 patients’ exomes reveals genomic-clinical associations in colorectal cancer

Trend analysis and forecast of daily reported incidence of hand, foot and mouth disease in Hubei, China by Prophet model

Mettl3-mediated mRNA m⁶A methylation promotes dendritic cell activation

Neoleukin-2/15-armored CAR-NK cells sustain superior therapeutic efficacy in solid tumors via c-Myc/NRF1 activation

Improving EFL speaking performance among undergraduate students with an AI-powered mobile app in after-class assignments: an empirical investigation

Spatiotemporal analysis of COVID-19 outbreaks in Wuhan, China

Impact of pulmonary infection and antibiotic use on recurrent myocardial infarction in patients with myocardial infarction

Correction to: MicroRNA in vivo precipitation identifies miR-151-3p as a computational unpredictable miRNA to target Stat3 and inhibits innate IL-6 production

Effect of different courses and durations of invasive mechanical ventilation on respiratory outcomes in very low birth weight infants

Salvianolic acid A as a multifunctional agent ameliorates doxorubicin-induced nephropathy in rats

MicroRNA in vivo precipitation identifies miR-151-3p as a computational unpredictable miRNA to target Stat3 and inhibits innate IL-6 production

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