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Academic Journal

Machine Learning-Aided 3D Dynamic SERS Strategy for Physiological Mapping: Biotoxicity of Environmentally Dimensional Aged Nanoplastics and Corresponding Protein Corona Complexes.

  • Authors : Li R; College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.; Hu Y

Subjects: Machine Learning* ; Protein Corona*/Protein Corona*/Protein Corona*/chemistry ; Protein Corona*/Protein Corona*/Protein Corona*/analysis

  • Source: Analytical chemistry [Anal Chem] 2024 Oct 22; Vol. 96 (42), pp. 16629-16638. Date of Electronic Publication: 2024 Oct 09.Publisher: American Chemical Society Country of Publication: United States NLM ID: 0370536 Publication Model: Print-Electronic Cited Medium: Internet

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Academic Journal

Inverse design of skull osteoinductive implants with multi-level pore structures through machine learning.

  • Authors : Zhang J; College of Biomedical Engineering, Sichuan University, Chengdu, 610065, China. .; Provincial Engineering Research Center for Biomaterials Genome of Sichuan, Sichuan University, Chengdu 610065, China.

Subjects: Skull* ; Machine Learning* ; Finite Element Analysis*

  • Source: Journal of materials chemistry. B [J Mater Chem B] 2024 Oct 09; Vol. 12 (39), pp. 9991-10003. Date of Electronic Publication: 2024 Oct 09.Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 101598493 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Osteoinductive biomaterials: Machine learning for prediction and interpretation.

  • Authors : Lin S; College of Biomedical Engineering, Sichuan University, Chengdu 610065, China; Provincial Engineering Research Center for Biomaterials Genome of Sichuan, Sichuan University, Chengdu 610065, China.

Subjects: Machine Learning* ; Biocompatible Materials*/Biocompatible Materials*/Biocompatible Materials*/chemistry ; Biocompatible Materials*/Biocompatible Materials*/Biocompatible Materials*/pharmacology

  • Source: Acta biomaterialia [Acta Biomater] 2024 Oct 01; Vol. 187, pp. 422-433. Date of Electronic Publication: 2024 Aug 22.Publisher: Elsevier Country of Publication: England NLM ID: 101233144 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-7568

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Academic Journal

Duodenal papilla radiomics-based prediction model for post-ERCP pancreatitis using machine learning: a retrospective multicohort study.

  • Authors : Chen K; Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.; Lin H

Subjects: Cholangiopancreatography, Endoscopic Retrograde*/Cholangiopancreatography, Endoscopic Retrograde*/Cholangiopancreatography, Endoscopic Retrograde*/methods ; Cholangiopancreatography, Endoscopic Retrograde*/Cholangiopancreatography, Endoscopic Retrograde*/Cholangiopancreatography, Endoscopic Retrograde*/adverse effects ; Pancreatitis*/Pancreatitis*/Pancreatitis*/etiology

  • Source: Gastrointestinal endoscopy [Gastrointest Endosc] 2024 Oct; Vol. 100 (4), pp. 691-702.e9. Date of Electronic Publication: 2024 Apr 06.Publisher: Mosby Yearbook Country of Publication: United States NLM ID: 0010505 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Characterization of the prevalence of Salmonella in different retail chicken supply modes using genome-wide and machine-learning analyses.

  • Authors : Peng J; National and Regional Joint Engineering Laboratory for Medicament of Zoonoses Prevention and Control; Key Laboratory of Zoonoses, Ministry of Agriculture

Subjects: Chickens*/Chickens*/Chickens*/microbiology ; Salmonella*/Salmonella*/Salmonella*/genetics ; Salmonella*/Salmonella*/Salmonella*/isolation & purification

  • Source: Food research international (Ottawa, Ont.) [Food Res Int] 2024 Sep; Vol. 191, pp. 114654. Date of Electronic Publication: 2024 Jun 19.Publisher: Published on behalf of the Canadian Institute of Food Science and Technology by Elsevier Applied Science Country of Publication: Canada NLM ID: 9210143

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Academic Journal

Accuracy and transportability of machine learning models for adolescent suicide prediction with longitudinal clinical records.

  • Authors : Zang C; Department of Population Health Sciences, Weill Cornell Medicine, Cornell University, Cornell, USA.; Institute of Artificial Intelligence for Digital Health, Weill Cornell Medicine, Cornell University, Cornell, USA.

Subjects: Machine Learning* ; Suicide, Attempted*/Suicide, Attempted*/Suicide, Attempted*/psychology ; Suicide, Attempted*/Suicide, Attempted*/Suicide, Attempted*/statistics & numerical data

  • Source: Translational psychiatry [Transl Psychiatry] 2024 Jul 31; Vol. 14 (1), pp. 316. Date of Electronic Publication: 2024 Jul 31.Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101562664 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Development of a machine learning-based model for predicting positive margins in high-grade squamous intraepithelial lesion (HSIL) treatment by Cold Knife Conization(CKC): a single-center retrospective study.

  • Authors : Zhang L; Department of Obstetrics and Gynecology, The First Affiliated Hospital of Yangtze University, Shashi District, 8 Hangkong Road, Jingzhou, Hubei, China.; Zheng Y

Subjects: Machine Learning* ; Margins of Excision* ; Conization*/Conization*/Conization*/methods

  • Source: BMC women's health [BMC Womens Health] 2024 Jun 07; Vol. 24 (1), pp. 332. Date of Electronic Publication: 2024 Jun 07.Publisher: BioMed Central Country of Publication: England NLM ID: 101088690 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6874

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Academic Journal

Analysis of Prospective Genetic Indicators for Prenatal Exposure to Arsenic in Newborn Cord Blood of Using Machine Learning.

  • Authors : Zhao X; Department of Toxicology, School of Public Health, Shanxi Medical University, 56 Xinjian Nan Road, Taiyuan, CN 030001, China.; Chen K

Subjects: Machine Learning* ; Fetal Blood*/Fetal Blood*/Fetal Blood*/metabolism ; Fetal Blood*/Fetal Blood*/Fetal Blood*/chemistry

  • Source: Biological trace element research [Biol Trace Elem Res] 2024 Jun; Vol. 202 (6), pp. 2466-2473. Date of Electronic Publication: 2023 Sep 23.Publisher: Humana Press Country of Publication: United States NLM ID: 7911509 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Prediction of Cr(VI) and As(V) adsorption on goethite using hybrid surface complexation-machine learning model.

  • Authors : Chen K; School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China; The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters, Ministry of Education, South China University of Technology, Guangzhou 510006, PR China.

Subjects: Machine Learning* ; Chromium*/Chromium*/Chromium*/chemistry ; Iron Compounds*/Iron Compounds*/Iron Compounds*/chemistry

  • Source: Water research [Water Res] 2024 Jun 01; Vol. 256, pp. 121580. Date of Electronic Publication: 2024 Apr 06.Publisher: Pergamon Press Country of Publication: England NLM ID: 0105072 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Machine learning models to predict submucosal invasion in early gastric cancer based on endoscopy features and standardized color metrics.

  • Authors : Chen K; Department of Gastroenterology, Peking University Third Hospital, Beijing, 100191, China.; Wang Y

Subjects: Stomach Neoplasms*/Stomach Neoplasms*/Stomach Neoplasms*/pathology ; Stomach Neoplasms*/Stomach Neoplasms*/Stomach Neoplasms*/diagnosis ; Machine Learning*

  • Source: Scientific reports [Sci Rep] 2024 May 07; Vol. 14 (1), pp. 10445. Date of Electronic Publication: 2024 May 07.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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  • 1-10 of  7,887 results for ""Chen, K.""