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Teaching AI to the Next Generation: A Humanistic Approach

• Authors : Anna Trifonova (ORCID 0000-0003-1172-9940); Mariela Destéfano (ORCID 0000-0003-3145-0306); Mario Barajas (ORCID 0000-0002-2682-6308)

Subjects: Artificial Intelligence; Cognitive Processes; ChildrenSpain (Barcelona)

• Source: Digital Education Review. 2024 (45):115-123.9

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Mitigating off-target effects of small RNAs: conventional approaches, network theory and artificial intelligence.

• Authors : Bereczki Z; Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, Hungary.; Center for Pharmacology and Drug Research & Development, Semmelweis University, Budapest, Hungary.

Subjects: Artificial Intelligence*; Humans ; Animals

• Source: British journal of pharmacology [Br J Pharmacol] 2025 Jan; Vol. 182 (2), pp. 340-379. Date of Electronic Publication: 2024 Sep 18.Publisher: Wiley Country of Publication: England NLM ID: 7502536 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-5381

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Conserve the open media ecosystem! Legal and ethical considerations when using online repositories for AI training in ecological research.

• Authors : Lilkendey J; School of Science, Auckland University of Technology (AUT), Auckland, New Zealand.; Data Science Center (DSC), University of Bremen, Bremen, Germany.

Subjects: Artificial Intelligence*; Internet

• Source: Ecology letters [Ecol Lett] 2023 Dec; Vol. 26 (12), pp. 2023-2028. Date of Electronic Publication: 2023 Oct 03.Publisher: Blackwell Publishing Country of Publication: England NLM ID: 101121949 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Applied Science & Technology Full Text (H.W. Wilson)

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Recent Advances of Utilizing Artificial Intelligence in Lab on a Chip for Diagnosis and Treatment.

• Authors : Zare Harofte S; Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, 19967-15433, Iran.; Soltani M

Subjects: Artificial Intelligence* ; Lab-On-A-Chip Devices*; Microfluidics/Microfluidics/Microfluidics/methods

• Source: Small (Weinheim an der Bergstrasse, Germany) [Small] 2022 Oct; Vol. 18 (42), pp. e2203169. Date of Electronic Publication: 2022 Aug 26.Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101235338 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1613-6829

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Modeling solubility of CO 2 -N 2 gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state.

• Authors : Nakhaei-Kohani R; Department of Chemical & Petroleum Engineering, Shiraz University, Shiraz, Iran.; Taslimi-Renani E

Subjects: Artificial Intelligence* ; Carbon Dioxide*; Gases

• Source: Scientific reports [Sci Rep] 2022 Mar 07; Vol. 12 (1), pp. 3625. Date of Electronic Publication: 2022 Mar 07.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases.

• Authors : Ahn JC; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN.; Connell A

Subjects: Artificial Intelligence* ; Liver Diseases*/Liver Diseases*/Liver Diseases*/diagnosis ; Liver Diseases*/Liver Diseases*/Liver Diseases*/therapy

• Source: Hepatology (Baltimore, Md.) [Hepatology] 2021 Jun; Vol. 73 (6), pp. 2546-2563.Publisher: Wolters Kluwer Health, Inc Country of Publication: United States NLM ID: 8302946 Publication Model: Print Cited Medium: Internet ISSN:

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Recognition of facial expression of fetuses by artificial intelligence (AI).

• Authors : Miyagi Y; Department of Gynecology, Miyake Ofuku Clinic, Okayama, Japan.; Medical Data Labo, Okayama, Japan.

Subjects: Artificial Intelligence*; Brain/Brain/Brain/*growth & development ; Face/Face/Face/*diagnostic imaging

• Source: Journal of perinatal medicine [J Perinat Med] 2021 Feb 08; Vol. 49 (5), pp. 596-603. Date of Electronic Publication: 2021 Feb 08 (Print Publication: 2021).Publisher: Walter De Gruyter Country of Publication: Germany NLM ID: 0361031 Publication Model: Electronic-Print Cited Medium: Internet ISSN:

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Deep learning in mental health outcome research: a scoping review.

• Authors : Su C; Department of Healthcare Policy and Research, Weill Cornell Medicine, New York, NY, USA.; Xu Z

Subjects: Artificial Intelligence* ; Deep Learning*; Algorithms

• Source: Translational psychiatry [Transl Psychiatry] 2020 Apr 22; Vol. 10 (1), pp. 116. Date of Electronic Publication: 2020 Apr 22.Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101562664 Publication Model: Electronic Cited Medium: Internet ISSN:

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