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Artificial intelligence in lung cancer: current applications, future perspectives, and challenges.
Front Oncol
December 2024
Department of Respiratory and Critical Care Medicine, Center for Respiratory Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Artificial intelligence (AI) has significantly impacted various fields, including oncology. This comprehensive review examines the current applications and future prospects of AI in lung cancer research and treatment. We critically analyze the latest AI technologies and their applications across multiple domains, including genomics, transcriptomics, proteomics, metabolomics, immunomics, microbiomics, radiomics, and pathomics in lung cancer research.
View Article and Find Full Text PDFTransforming precision medicine: The potential of the clinical artificial intelligent single-cell framework.
Clin Transl Med
January 2025
Department of Cell Biology, Histology and Embryology, Gottfried Schatz Research Center, Medical University of Graz, Graz, Austria.
The editorial, "Clinical and translational mode of single-cell measurements: An artificial intelligent single-cell," introduces the innovative clinical artificial intelligence single-cell (caiSC) system, which merges AI with single-cell informatics to advance real-time diagnostics, disease monitoring, and treatment prediction. By combining clinical data and multimodal molecular inputs, caiSC facilitates personalized medicine, promising enhanced diagnostic precision and tailored therapeutic approaches. Despite its potential, caiSC lacks comprehensive data coverage across cell types and diseases, presenting challenges in data quality and model robustness.
View Article and Find Full Text PDFInterdisciplinary, Computer-Guided Periodontal and Dental Management of a Novel Hypo- and Microdontia Case Restored With Ultrathin Veneers Fabricated via INKGLUE Technique.
J Esthet Restor Dent
January 2025
APA Advanced Clinical Fellowship Program in Aesthetic Dentistry, New York University College of Dentistry, New York City, New York, USA.
Objectives: This report illustrates the digital interdisciplinary management of a case presenting with diastemata, a retained primary tooth, microdontia, and hypodontia. Esthetic crown lengthening and ultrathin veneers optimized the natural dentition and achieved a stable, minimally-invasive, and esthetically-pleasing outcome.
Clinical Considerations: Reduction guides were digitally-designed and 3D-printed for guided crown lengthening and dental veneer preparation.
Basic Considerations for the Consistency Evaluation Based on ICH E17 Guideline.
Ther Innov Regul Sci
January 2025
Department of Biostatistics, Peking University, Beijing, China.
In the International Council for Harmonisation (ICH) guidance on General Principles for Planning and Design of Multi-Regional Clinical Trials (E17), it is important to evaluate the consistency of treatment effect across regions in a multi-regional clinical trial (MRCT). In this paper, we elaborated on some basic considerations to evaluate consistency. We first list the design considerations, and then provide consistency evaluation and interpretation on pharmacokinetics, pharmacodynamics, efficacy, safety, and benefit-risk.
View Article and Find Full Text PDFFactors influencing medical students' interest in obstetrics and gynecology: a longitudinal study on career preferences.
Arch Gynecol Obstet
January 2025
Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany.
Introduction: Choosing a medical specialty is a pivotal moment in a physician's career, shaped by personal interests, clinical experiences, and professional interactions. Obstetrics and gynecology (OB-GYN) offers a unique blend of surgical and medical care focused on women's health. Given the growing demand for OB-GYN specialists, understanding the factors that influence students' decisions is essential for workforce planning.
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