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Tissue accumulation of microplastics in mice and biomarker responses suggest widespread health risks of exposure
Tissue accumulation of microplastics in mice and biomarker responses suggest widespread health risks of exposure
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Tissue accumulation of microplastics in mice and biomarker responses suggest widespread health risks of exposure

Deng, Yongfeng ; Zhang, Yan ; Lemos, Bernardo ; Ren, Hongqiang

Scientific reports, 2017-04, Vol.7 (1), p.46687, Article 46687 [Periódico revisado por pares]

England: Nature Publishing Group

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2
Early change in circulating tumor DNA as a potential predictor of response to chemotherapy in patients with metastatic colorectal cancer
Early change in circulating tumor DNA as a potential predictor of response to chemotherapy in patients with metastatic colorectal cancer
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Early change in circulating tumor DNA as a potential predictor of response to chemotherapy in patients with metastatic colorectal cancer

Osumi, Hiroki ; Shinozaki, Eiji ; Yamaguchi, Kensei ; Zembutsu, Hitoshi

Scientific reports, 2019-11, Vol.9 (1), p.17358-9, Article 17358 [Periódico revisado por pares]

England: Nature Publishing Group

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3
Reduced levels of biomarkers of exposure in smokers switching to the Carbon-Heated Tobacco Product 1.0: a controlled, randomized, open-label 5-day exposure trial
Reduced levels of biomarkers of exposure in smokers switching to the Carbon-Heated Tobacco Product 1.0: a controlled, randomized, open-label 5-day exposure trial
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Reduced levels of biomarkers of exposure in smokers switching to the Carbon-Heated Tobacco Product 1.0: a controlled, randomized, open-label 5-day exposure trial

Tran, Cam Tuan ; Bosilkovska, Marija ; de La Bourdonnaye, Guillaume ; Blanc, Nicolas ; Haziza, Christelle

Scientific reports, 2020-11, Vol.10 (1), p.19227, Article 19227 [Periódico revisado por pares]

England: Nature Publishing Group

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4
Plasma β-amyloid in Alzheimer's disease and vascular disease
Plasma β-amyloid in Alzheimer's disease and vascular disease
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Plasma β-amyloid in Alzheimer's disease and vascular disease

Janelidze, Shorena ; Stomrud, Erik ; Palmqvist, Sebastian ; Zetterberg, Henrik ; van Westen, Danielle ; Jeromin, Andreas ; Song, Linan ; Hanlon, David ; Tan Hehir, Cristina A ; Baker, David ; Blennow, Kaj ; Hansson, Oskar

Scientific reports, 2016-05, Vol.6 (1), p.26801-26801, Article 26801 [Periódico revisado por pares]

England: Nature Publishing Group

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5
The proteomic analysis of breast cell line exosomes reveals disease patterns and potential biomarkers
The proteomic analysis of breast cell line exosomes reveals disease patterns and potential biomarkers
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The proteomic analysis of breast cell line exosomes reveals disease patterns and potential biomarkers

Risha, Yousef ; Minic, Zoran ; Ghobadloo, Shahrokh M ; Berezovski, Maxim V

Scientific reports, 2020-08, Vol.10 (1), p.13572-13572, Article 13572 [Periódico revisado por pares]

England: Nature Publishing Group

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6
Keratin 17 identifies the most lethal molecular subtype of pancreatic cancer
Keratin 17 identifies the most lethal molecular subtype of pancreatic cancer
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Keratin 17 identifies the most lethal molecular subtype of pancreatic cancer

Roa-Peña, Lucia ; Leiton, Cindy V ; Babu, Sruthi ; Pan, Chun-Hao ; Vanner, Elizabeth A ; Akalin, Ali ; Bandovic, Jela ; Moffitt, Richard A ; Shroyer, Kenneth R ; Escobar-Hoyos, Luisa F

Scientific reports, 2019-08, Vol.9 (1), p.11239-10, Article 11239 [Periódico revisado por pares]

England: Nature Publishing Group

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7
Predicting Alzheimer's disease progression using multi-modal deep learning approach
Predicting Alzheimer's disease progression using multi-modal deep learning approach
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Predicting Alzheimer's disease progression using multi-modal deep learning approach

Lee, Garam ; Nho, Kwangsik ; Kang, Byungkon ; Sohn, Kyung-Ah ; Kim, Dokyoon

Scientific reports, 2019-02, Vol.9 (1), p.1952, Article 1952 [Periódico revisado por pares]

England: Nature Publishing Group

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8
An integrated machine learning framework for a discriminative analysis of schizophrenia using multi-biological data
An integrated machine learning framework for a discriminative analysis of schizophrenia using multi-biological data
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An integrated machine learning framework for a discriminative analysis of schizophrenia using multi-biological data

Ke, Peng-Fei ; Xiong, Dong-Sheng ; Li, Jia-Hui ; Pan, Zhi-Lin ; Zhou, Jing ; Li, Shi-Jia ; Song, Jie ; Chen, Xiao-Yi ; Li, Gui-Xiang ; Chen, Jun ; Li, Xiao-Bo ; Ning, Yu-Ping ; Wu, Feng-Chun ; Wu, Kai

Scientific reports, 2021-07, Vol.11 (1), p.14636-14636, Article 14636 [Periódico revisado por pares]

England: Nature Publishing Group

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9
Cox proportional hazards regression in small studies of predictive biomarkers
Cox proportional hazards regression in small studies of predictive biomarkers
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Cox proportional hazards regression in small studies of predictive biomarkers

Jóźwiak, K. ; Nguyen, V. H. ; Sollfrank, L. ; Linn, S. C. ; Hauptmann, M.

Scientific reports, 2024-06, Vol.14 (1), p.14232-11, Article 14232 [Periódico revisado por pares]

London: Nature Publishing Group

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10
Identifying the miRNA signature associated with survival time in patients with lung adenocarcinoma using miRNA expression profiles
Identifying the miRNA signature associated with survival time in patients with lung adenocarcinoma using miRNA expression profiles
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Identifying the miRNA signature associated with survival time in patients with lung adenocarcinoma using miRNA expression profiles

Yerukala Sathipati, Srinivasulu ; Ho, Shinn-Ying

Scientific reports, 2017-08, Vol.7 (1), p.7507-15, Article 7507 [Periódico revisado por pares]

England: Nature Publishing Group

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