Search Results

Two sequence- and two structure-based ML models have learned different aspects of protein biochemistry.

• Authors : Kulikova, Anastasiya V.^1,2 (AUTHOR); Diaz, Daniel J.^2,3,4 (AUTHOR); Chen, Tianlong^4,5 (AUTHOR)

• Source: Scientific Reports. 11/18/2023, Vol. 13 Issue 1, p1-9. 9p.

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Age-Related Dietary Habits and Blood Biochemical Parameters in Patients with and without Steatosis—MICOL Cohort.

• Authors : Donghia, Rossella¹ ; Pesole, Pasqua Letizia¹ ; Castellaneta, Antonino²

Subjects: *BLOOD testing; *FOOD habits; *BIOCHEMISTRYITALY

• Source: Nutrients. Sep2023, Vol. 15 Issue 18, p4058. 13p.

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Estimation of spectral responses and chlorophyll based on growth stage effects explored by machine learning methods.

• Authors : Dehua Gao¹; Lang Qiao¹; Lulu An¹

• Source: Crop Journal (2095-5421). Oct2022, Vol. 10 Issue 5, p1292-1302. 11p.

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Virtual screening of Indonesian herbal compounds as COVID-19 supportive therapy: machine learning and pharmacophore modeling approaches.

• Authors : Erlina, Linda^1,2 (AUTHOR); Paramita, Rafika Indah^1,2 (AUTHOR) ; Kusuma, Wisnu Ananta^3,4 (AUTHOR)

Subjects: *BIOCHEMISTRY; *COVID-19; *HERBAL medicineINDONESIA

• Source: BMC Complementary Medicine & Therapies. 8/3/2022, Vol. 22 Issue 1, p1-19. 19p. 7 Diagrams, 6 Charts.

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The plasma proteome differentiates the multisystem inflammatory syndrome in children (MIS-C) from children with SARS-CoV-2 negative sepsis

• Authors : Maitray A. Patel; Douglas D. Fraser; Mark Daley

Subjects: MIS-C; Sepsis; Targeted proteomics

• Source: Molecular Medicine, Vol 30, Iss 1, Pp 1-12 (2024)

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The Integration of Artificial Intelligence into Clinical Practice

• Authors : Vangelis D. Karalis

Subjects: artificial intelligence; clinical practice; machine learning

• Source: Applied Biosciences, Vol 3, Iss 1, Pp 14-44 (2024)

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Artificial intelligence-driven diagnosis of β-thalassemia minor & iron deficiency anemia using machine learning models

• Authors : Uçucu Süheyl; Azik Fatih

Subjects: beta-thalassemia minor; iron deficiency anemia; machine learning

• Source: Journal of Medical Biochemistry, Vol 43, Iss 1, Pp 11-18 (2024)

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Quantitative Structure-Activity Relationship Models for Predicting Inflammatory Potential of Metal Oxide Nanoparticles.

• Authors : Yang Huang¹; Xuehua Li¹ ; Shujuan Xu²

Subjects: *Animal experimentation; *Biochemistry; *Metals

• Source: Environmental Health Perspectives. Jun2020, Vol. 128 Issue 6, p067010-1-067010-13. 13p. 2 Color Photographs, 3 Diagrams, 1 Chart, 3 Graphs.

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Machine learning meets genome assembly.

• Authors : Souza, Kleber Padovani de¹ (AUTHOR) ; Setubal, João Carlos^2,3 (AUTHOR); Carvalho, André Carlos Ponce de Leon F. de⁴ (AUTHOR)

• Source: Briefings in Bioinformatics. Nov2019, Vol. 20 Issue 6, p2116-2129. 14p.

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KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services.

• Authors : Gruendner, Julian¹ ; Schwachhofer, Thorsten¹; Sippl, Phillip¹

Subjects: *WEB services; *MACHINE learning; *SERVICE learningERLANGEN (Germany)

• Source: PLoS ONE. 10/3/2019, Vol. 14 Issue 10, p1-16. 16p.

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