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Tytuł:
Advancing Breast Cancer Diagnosis through Breast Mass Images, Machine Learning, and Regression Models.
Autorzy:
Zaylaa AJ; Biomedical Engineering Program, Electrical and Computer Engineering Department, Faculty of Engineering, Beirut Arab University, Debbieh P.O. Box 11-5020, Lebanon.
Kourtian S; Centre de Recherche du Centre Hospitalier, l'Université de Montréal, Montréal, QC H2X 0A9, Canada.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Apr 05; Vol. 24 (7). Date of Electronic Publication: 2024 Apr 05.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Neoplasms*
Humans ; Bayes Theorem ; Machine Learning ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Comparison of the Capacity of Several Machine Learning Tools to Assist Immunofluorescence-Based Detection of Anti-Neutrophil Cytoplasmic Antibodies.
Autorzy:
Bertin D; Service d'Immunologie, Biogénopôle, Hôpital de la Timone, Assistance Publique-Hôpitaux de Marseille (AP-HM), 13005 Marseille, France.
Bongrand P; Laboratoire Adhésion et Inflammation, Aix-Marseille University, UM61, Campus Luminy, 13009 Marseille, France.; INSERM U1067, Campus Luminy, 13009 Marseille, France.; CNRS, U7333, Campus Luminy, 13009 Marseille, France.
Bardin N; Service d'Immunologie, Biogénopôle, Hôpital de la Timone, Assistance Publique-Hôpitaux de Marseille (AP-HM), 13005 Marseille, France.; INSERM, U1076, Campus Timone, 13005 Marseille, France.; Aix Marseille University, INSERM, INRAE, C2VN, Campus Timone, 13005 Marseille, France.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Mar 13; Vol. 25 (6). Date of Electronic Publication: 2024 Mar 13.
Typ publikacji:
Journal Article
MeSH Terms:
Antibodies, Antineutrophil Cytoplasmic*
Artificial Intelligence*
Humans ; Reproducibility of Results ; Fluorescent Antibody Technique ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Identification of Genomic Signatures for Colorectal Cancer Survival Using Exploratory Data Mining.
Autorzy:
Hummel JJ; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.
Liu D; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65212, USA.
Tallon E; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.
Snyder J; Department of Statistics, University of Missouri, Columbia, MO 65212, USA.
Warren W; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.; Division of Animal Sciences, University of Missouri, Columbia, MO 65212, USA.; Department of Surgery, University of Missouri, Columbia, MO 65212, USA.
Shyu CR; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.; Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65212, USA.
Mitchem J; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.; Department of Surgery, University of Missouri, Columbia, MO 65212, USA.; Harry S. Truman Memorial Veterans' Hospital, Columbia, MO 65212, USA.; Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO 63130, USA.
Cortese R; Institute for Data Science and Informatics, University of Missouri, Columbia, MO 65212, USA.; Department of Pediatrics, University of Missouri, Columbia, MO 65212, USA.; Department of Gynecology, Obstetrics and Women's Health, University of Missouri, Columbia, MO 65212, USA.; Ellis Fischel Cancer Center, University of Missouri, Columbia, MO 65212, USA.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Mar 12; Vol. 25 (6). Date of Electronic Publication: 2024 Mar 12.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Colorectal Neoplasms*/pathology
Humans ; Neoplasm Recurrence, Local/pathology ; Mutation ; Genomics ; Gene Expression Regulation, Neoplastic
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective.
Autorzy:
Niño SB; Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes-Quinta da Nora, 3030-199 Coimbra, Portugal.
Bernardino J; Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes-Quinta da Nora, 3030-199 Coimbra, Portugal.; Centre for Informatics and Systems, University of Coimbra (CISUC), Pólo II, Pinhal de Marrocos, 3030-290 Coimbra, Portugal.
Domingues I; Polytechnic Institute of Coimbra, Coimbra Institute of Engineering, Rua Pedro Nunes-Quinta da Nora, 3030-199 Coimbra, Portugal.; Medical Physics, Radiobiology and Radiological Protection Group, Research Centre of the Portuguese Institute of Oncology of Porto (CI-IPOP), 4200-072 Porto, Portugal.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Mar 08; Vol. 24 (6). Date of Electronic Publication: 2024 Mar 08.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Algorithms*
Abdomen ; Liver/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Machine Learning Method and Hyperspectral Imaging for Precise Determination of Glucose and Silicon Levels.
Autorzy:
Wawerski A; Faculty of Mechatronics, Warsaw University of Technology, Sw. A. Boboli St. 8, 02-525 Warsaw, Poland.
Siemiątkowska B; Faculty of Mechatronics, Warsaw University of Technology, Sw. A. Boboli St. 8, 02-525 Warsaw, Poland.
Józwik M; Faculty of Mechatronics, Warsaw University of Technology, Sw. A. Boboli St. 8, 02-525 Warsaw, Poland.
Fajdek B; Faculty of Mechatronics, Warsaw University of Technology, Sw. A. Boboli St. 8, 02-525 Warsaw, Poland.
Partyka M; Faculty of Mechatronics, Warsaw University of Technology, Sw. A. Boboli St. 8, 02-525 Warsaw, Poland.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Feb 18; Vol. 24 (4). Date of Electronic Publication: 2024 Feb 18.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Glucose*
Silicon ; Blood Glucose Self-Monitoring ; Hyperspectral Imaging ; Blood Glucose ; Machine Learning
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Identification of Hit Compounds Using Artificial Intelligence for the Management of Allergic Diseases.
Autorzy:
Byun J; Department of Otorhinolaryngology-Head & Neck Surgery, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.; Mucosal Immunology Institute, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.
Tai J; Department of Otorhinolaryngology-Head & Neck Surgery, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.
Kim B; Department of Otorhinolaryngology-Head & Neck Surgery, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.; Neuroscience Research Institute, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.
Kim J; Department of Otorhinolaryngology-Head & Neck Surgery, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.; Mucosal Immunology Institute, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.
Jung S; Department of Otorhinolaryngology-Head & Neck Surgery, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.
Lee J; Department of Otorhinolaryngology-Head & Neck Surgery, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.
Song YW; Department of Otorhinolaryngology-Head & Neck Surgery, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.; Mucosal Immunology Institute, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.
Shin J; Department of Otorhinolaryngology-Head & Neck Surgery, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.; Mucosal Immunology Institute, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.
Kim TH; Department of Otorhinolaryngology-Head & Neck Surgery, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.; Mucosal Immunology Institute, College of Medicine, Korea University, 02842 Seoul, Republic of Korea.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Feb 14; Vol. 25 (4). Date of Electronic Publication: 2024 Feb 14.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Rhinitis, Allergic*
Mice ; Animals ; Ovalbumin ; Nasal Mucosa/metabolism ; Cytokines/metabolism ; Suppressor of Cytokine Signaling Proteins/metabolism ; Immunoglobulin E/metabolism ; Mice, Inbred BALB C ; Disease Models, Animal
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors.
Autorzy:
Zare A; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48103, USA.
Wittrup E; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48103, USA.
Najarian K; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48103, USA.; Department of Emergency Medicine, University of Michigan, Ann Arbor, MI 48103, USA.; Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48103, USA.; Michigan Institute for Data Science, University of Michigan, Ann Arbor, MI 48103, USA.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Mar 29; Vol. 24 (7). Date of Electronic Publication: 2024 Mar 29.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Cardiovascular System*
Blood Pressure ; Blood Pressure Determination ; Acoustics
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Drug Repositioning via Graph Neural Networks: Identifying Novel JAK2 Inhibitors from FDA-Approved Drugs through Molecular Docking and Biological Validation.
Autorzy:
Yasir M; Department of Pharmacology, Kangwon National University School of Medicine, Chuncheon 24341, Republic of Korea.
Park J; Department of Pharmacology, Kangwon National University School of Medicine, Chuncheon 24341, Republic of Korea.
Han ET; Department of Medical Environmental Biology and Tropical Medicine, Kangwon National University School of Medicine, Chuncheon 24341, Republic of Korea.
Park WS; Department of Physiology, Kangwon National University School of Medicine, Chuncheon 24341, Republic of Korea.
Han JH; Department of Medical Environmental Biology and Tropical Medicine, Kangwon National University School of Medicine, Chuncheon 24341, Republic of Korea.
Chun W; Department of Pharmacology, Kangwon National University School of Medicine, Chuncheon 24341, Republic of Korea.
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Źródło:
Molecules (Basel, Switzerland) [Molecules] 2024 Mar 19; Vol. 29 (6). Date of Electronic Publication: 2024 Mar 19.
Typ publikacji:
Journal Article
MeSH Terms:
Drug Repositioning*
Artificial Intelligence*
Molecular Docking Simulation ; Reproducibility of Results ; Neural Networks, Computer
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A Survey on Blood Pressure Measurement Technologies: Addressing Potential Sources of Bias.
Autorzy:
Mousavi SS; Department of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.
Reyna MA; Department of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.
Clifford GD; Department of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.; Biomedical Engineering Department, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Sameni R; Department of Biomedical Informatics, Emory University, Atlanta, GA 30322, USA.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Mar 07; Vol. 24 (6). Date of Electronic Publication: 2024 Mar 07.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Hypertension*/diagnosis
Humans ; Blood Pressure/physiology ; Bayes Theorem ; Blood Pressure Determination
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Modeling 5-FU-Induced Chemotherapy Selection of a Drug-Resistant Cancer Stem Cell Subpopulation.
Autorzy:
Ramović Hamzagić A; Faculty of Medical Sciences, Department of Genetics, University of Kragujevac, 34000 Kragujevac, Serbia.; Serbia for Harm Reduction of Biological and Chemical Hazards, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.
Cvetković D; Faculty of Medical Sciences, Department of Genetics, University of Kragujevac, 34000 Kragujevac, Serbia.; Serbia for Harm Reduction of Biological and Chemical Hazards, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.
Gazdić Janković M; Faculty of Medical Sciences, Department of Genetics, University of Kragujevac, 34000 Kragujevac, Serbia.; Serbia for Harm Reduction of Biological and Chemical Hazards, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.
Milivojević Dimitrijević N; Institute for Information Technologies Kragujevac, University of Kragujevac, Liceja Kneževine Srbije 1A, 34000 Kragujevac, Serbia.
Nikolić D; Institute for Information Technologies Kragujevac, University of Kragujevac, Liceja Kneževine Srbije 1A, 34000 Kragujevac, Serbia.; Bioengineering Research and Development Center (BioIRC), Prvoslava Stojanovica 6, 34000 Kragujevac, Serbia.
Živanović M; Institute for Information Technologies Kragujevac, University of Kragujevac, Liceja Kneževine Srbije 1A, 34000 Kragujevac, Serbia.
Kastratović N; Faculty of Medical Sciences, Department of Genetics, University of Kragujevac, 34000 Kragujevac, Serbia.; Serbia for Harm Reduction of Biological and Chemical Hazards, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.
Petrović I; Faculty of Medical Sciences, Department of Pathophysiology, University of Kragujevac, 34000 Kragujevac, Serbia.
Nikolić S; Faculty of Medical Sciences, Department of Genetics, University of Kragujevac, 34000 Kragujevac, Serbia.; Serbia for Harm Reduction of Biological and Chemical Hazards, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.
Jovanović M; Faculty of Sciences, University of Kragujevac, Radoja Domanovića 12, 34000 Kragujevac, Serbia.
Šeklić D; Institute for Information Technologies Kragujevac, University of Kragujevac, Liceja Kneževine Srbije 1A, 34000 Kragujevac, Serbia.
Filipović N; Bioengineering Research and Development Center (BioIRC), Prvoslava Stojanovica 6, 34000 Kragujevac, Serbia.; Faculty of Engineering, University of Kragujevac, Sestre Janjić 6, 34000 Kragujevac, Serbia.
Ljujić B; Faculty of Medical Sciences, Department of Genetics, University of Kragujevac, 34000 Kragujevac, Serbia.; Serbia for Harm Reduction of Biological and Chemical Hazards, Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.
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Źródło:
Current oncology (Toronto, Ont.) [Curr Oncol] 2024 Feb 25; Vol. 31 (3), pp. 1221-1234. Date of Electronic Publication: 2024 Feb 25.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Neoplasms*/pathology
Humans ; Cell Line, Tumor ; Aldehyde Dehydrogenase 1 Family ; Fluorouracil/pharmacology ; Neoplastic Stem Cells/metabolism ; Neoplastic Stem Cells/pathology
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy.
Autorzy:
Liu M; Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.
Srivastava G; Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.
Ramanujam J; Division of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.; Center for Computation and Technology, Louisiana State University, Baton Rouge, LA 70803, USA.
Brylinski M; Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.; Center for Computation and Technology, Louisiana State University, Baton Rouge, LA 70803, USA.
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Źródło:
Biomolecules [Biomolecules] 2024 Feb 21; Vol. 14 (3). Date of Electronic Publication: 2024 Feb 21.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Antineoplastic Agents*/pharmacology
Humans ; Neural Networks, Computer ; Combined Modality Therapy ; Drug Therapy, Combination
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges.
Autorzy:
Qi X; School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215011, China.
Zhao Y; School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215011, China.
Qi Z; School of Software, Shandong University, Jinan 250101, China.
Hou S; School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215011, China.
Chen J; School of Chemistry and Life Sciences, Suzhou University of Science and Technology, Suzhou 215011, China.
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Źródło:
Molecules (Basel, Switzerland) [Molecules] 2024 Feb 18; Vol. 29 (4). Date of Electronic Publication: 2024 Feb 18.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Machine Learning*
Humans ; Drug Discovery ; Algorithms ; Power, Psychological
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Recent Progress of Protein Tertiary Structure Prediction.
Autorzy:
Wuyun Q; Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.
Chen Y; School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China.
Shen Y; Faculty of Environment and Information Studies, Keio University, Fujisawa 252-0882, Kanagawa, Japan.
Cao Y; College of Life Sciences, Sichuan University, Chengdu 610065, China.
Hu G; NITFID, School of Statistics and Data Science, LPMC and KLMDASR, Nankai University, Tianjin 300071, China.
Cui W; School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China.
Gao J; School of Mathematical Sciences and LPMC, Nankai University, Tianjin 300071, China.
Zheng W; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA.
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Źródło:
Molecules (Basel, Switzerland) [Molecules] 2024 Feb 13; Vol. 29 (4). Date of Electronic Publication: 2024 Feb 13.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Proteins*/chemistry
Protein Conformation ; Models, Molecular ; Algorithms ; Computational Biology/methods ; Databases, Protein ; Software ; Protein Folding
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
scMGCN: A Multi-View Graph Convolutional Network for Cell Type Identification in scRNA-seq Data.
Autorzy:
Sun H; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China.
Qu H; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China.
Duan K; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China.
Du W; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Feb 13; Vol. 25 (4). Date of Electronic Publication: 2024 Feb 13.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Biomedical Research*
Ecosystem ; Single-Cell Gene Expression Analysis ; Learning ; Single-Cell Analysis ; Sequence Analysis, RNA ; Gene Expression Profiling ; Cluster Analysis ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Monitoring of Antarctica's Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI.
Autorzy:
Raniga D; School of Electrical Engineering and Robotics, Faculty of Engineering, Queensland University of Technology, Brisbane City, QLD 4000, Australia.; Securing Antarctica's Environmental Future (SAEF), Queensland University of Technology, Brisbane City, QLD 4000, Australia.
Amarasingam N; School of Electrical Engineering and Robotics, Faculty of Engineering, Queensland University of Technology, Brisbane City, QLD 4000, Australia.; Securing Antarctica's Environmental Future (SAEF), Queensland University of Technology, Brisbane City, QLD 4000, Australia.
Sandino J; School of Electrical Engineering and Robotics, Faculty of Engineering, Queensland University of Technology, Brisbane City, QLD 4000, Australia.; Securing Antarctica's Environmental Future (SAEF), Queensland University of Technology, Brisbane City, QLD 4000, Australia.
Doshi A; Securing Antarctica's Environmental Future (SAEF), University of Wollongong, Wollongong, NSW 2522, Australia.; School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.
Barthelemy J; Securing Antarctica's Environmental Future (SAEF), University of Wollongong, Wollongong, NSW 2522, Australia.; NVIDIA, Santa Clara, CA 95051, USA.
Randall K; Securing Antarctica's Environmental Future (SAEF), University of Wollongong, Wollongong, NSW 2522, Australia.; School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.
Robinson SA; Securing Antarctica's Environmental Future (SAEF), University of Wollongong, Wollongong, NSW 2522, Australia.; School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.
Gonzalez F; School of Electrical Engineering and Robotics, Faculty of Engineering, Queensland University of Technology, Brisbane City, QLD 4000, Australia.; Securing Antarctica's Environmental Future (SAEF), Queensland University of Technology, Brisbane City, QLD 4000, Australia.
Bollard B; Securing Antarctica's Environmental Future (SAEF), University of Wollongong, Wollongong, NSW 2522, Australia.; School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Feb 06; Vol. 24 (4). Date of Electronic Publication: 2024 Feb 06.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Remote Sensing Technology*/methods
Ecosystem ; Unmanned Aerial Devices ; Antarctic Regions
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Lung-DT: An AI-Powered Digital Twin Framework for Thoracic Health Monitoring and Diagnosis.
Autorzy:
Avanzato R; Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale Andrea Doria, 95125 Catania, Italy.
Beritelli F; Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale Andrea Doria, 95125 Catania, Italy.
Lombardo A; Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale Andrea Doria, 95125 Catania, Italy.
Ricci C; Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale Andrea Doria, 95125 Catania, Italy.; National Inter-University Consortium for Telecommunications (CNIT), RU of Catania, 43124 Parma, Italy.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Feb 01; Vol. 24 (3). Date of Electronic Publication: 2024 Feb 01.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Thorax*/diagnostic imaging
Humans ; Algorithms ; Neural Networks, Computer ; Lung/diagnostic imaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Sensors for Digital Transformation in Smart Forestry.
Autorzy:
Ehrlich-Sommer F; Human-Centered AI Lab, Institute of Forest Engineering, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna, 1190 Wien, Austria.
Hoenigsberger F; Human-Centered AI Lab, Institute of Forest Engineering, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna, 1190 Wien, Austria.
Gollob C; Institute of Forest Growth, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna, 1190 Wien, Austria.
Nothdurft A; Institute of Forest Growth, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna, 1190 Wien, Austria.
Stampfer K; Human-Centered AI Lab, Institute of Forest Engineering, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna, 1190 Wien, Austria.
Holzinger A; Human-Centered AI Lab, Institute of Forest Engineering, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences Vienna, 1190 Wien, Austria.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Jan 25; Vol. 24 (3). Date of Electronic Publication: 2024 Jan 25.
Typ publikacji:
Journal Article
MeSH Terms:
Forestry*/methods
Artificial Intelligence*
Humans ; Conservation of Natural Resources/methods ; Forests ; Technology
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Autonomous Detection of Humans in Off-Limits Mountain Areas.
Autorzy:
Kim J; System Engineering Department, Sejong University, Seoul 05006, Republic of Korea.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Jan 25; Vol. 24 (3). Date of Electronic Publication: 2024 Jan 25.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Algorithms*
Humans ; Motion ; Neural Networks, Computer
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Artificial Intelligence Sensing: Effective Flavor Blueprinting of Tea Infusions for a Quality Control Perspective.
Autorzy:
Caratti A; Dipartimento di Scienza a Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy.
Fina A; Dipartimento di Scienza a Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy.
Trapani F; Dipartimento di Scienza a Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy.
Bicchi C; Dipartimento di Scienza a Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy.
Liberto E; Dipartimento di Scienza a Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy.
Cordero C; Dipartimento di Scienza a Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy.
Magagna F; Dipartimento di Scienza a Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy.
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Źródło:
Molecules (Basel, Switzerland) [Molecules] 2024 Jan 23; Vol. 29 (3). Date of Electronic Publication: 2024 Jan 23.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Volatile Organic Compounds*/analysis
Humans ; China ; Tea ; Smell ; Odorants/analysis ; Quality Control
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Diagnostic Challenges during Inflammation and Cancer: Current Biomarkers and Future Perspectives in Navigating through the Minefield of Reactive versus Dysplastic and Cancerous Lesions in the Digestive System.
Autorzy:
Pateras IS; 2nd Department of Pathology, 'Attikon' University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
Igea A; Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain.; Mobile Genomes, Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela (USC), 15706 Santiago de Compostela, Spain.
Nikas IP; Medical School, University of Cyprus, 2029 Nicosia, Cyprus.
Leventakou D; 2nd Department of Pathology, 'Attikon' University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
Koufopoulos NI; 2nd Department of Pathology, 'Attikon' University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
Ieronimaki AI; 2nd Department of Pathology, 'Attikon' University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
Bergonzini A; Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Alfred Nobels Allé 8, 141 52 Stockholm, Sweden.; Department of Molecular Biology and Umeå Centre for Microbial Research (UCMR), Umeå University, 901 87 Umeå, Sweden.
Ryu HS; Department of Pathology, Seoul National University Hospital, Seoul 03080, Republic of Korea.
Chatzigeorgiou A; Department of Physiology, Medical School, National and Kapodistrian University of Athens, 115 27 Athens, Greece.
Frisan T; Department of Molecular Biology and Umeå Centre for Microbial Research (UCMR), Umeå University, 901 87 Umeå, Sweden.
Kittas C; Department of Histopathology, Biomedicine Group of Health Company, 156 26 Athens, Greece.
Panayiotides IG; 2nd Department of Pathology, 'Attikon' University Hospital, Medical School, National and Kapodistrian University of Athens, 124 62 Athens, Greece.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Jan 19; Vol. 25 (2). Date of Electronic Publication: 2024 Jan 19.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Neoplasms*/diagnosis
Humans ; Animals ; Mice ; Inflammation ; Biomarkers ; Hyperplasia ; Digestive System
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Wyświetlanie 1-20 z 26366

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