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The Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research.
J Drug Target
January 2025
Sunirmal Bhattacharjee, Bharat Pharmaceutical Technology, Amtali, Agartala, Tripura, India.
A significant area of computer science called artificial intelligence (AI) is successfully applied to the analysis of intricate biological data and the extraction of substantial associations from datasets for a variety of biomedical uses. AI has attracted significant interest in biomedical research due to its features: (i) better patient care through early diagnosis and detection; (ii) enhanced workflow; (iii) lowering medical errors; (v) lowering medical costs; (vi) reducing morbidity and mortality; (vii) enhancing performance; (viii) enhancing precision; and (ix) time efficiency. Quantitative metrics are crucial for evaluating AI implementations, providing insights, enabling informed decisions, and measuring the impact of AI-driven initiatives, thereby enhancing transparency, accountability, and overall impact.
View Article and Find Full Text PDFBiomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explainable artificial intelligence.
Front Mol Biosci
December 2024
Department of Teacher Education, NLA University College, Oslo, Norway.
Background: Breast cancer (BC) is a significant cause of morbidity and mortality in women. Although the important role of metabolism in the molecular pathogenesis of BC is known, there is still a need for robust metabolomic biomarkers and predictive models that will enable the detection and prognosis of BC. This study aims to identify targeted metabolomic biomarker candidates based on explainable artificial intelligence (XAI) for the specific detection of BC.
View Article and Find Full Text PDFCystic Echinococcosis Cases: A Retrospective Evaluation in a General Surgery Department.
Infect Dis Clin Microbiol
December 2024
Department of General Surgery, Çanakkale Onsekiz Mart University School of Medicine, Çanakkale, Türkiye.
Objective: Cystic echinococcosis (CE) caused by the larval stage of the parasite is a global health problem. This study aimed to assess cases of CE admitted to our General Surgery Department retrospectively, as there is no known similar publication concerning surgical treatment of abdominal cystic echinococcosis in Çanakkale province.
Materials And Methods: We analyzed laboratory and radiological findings alongside clinical and demographic features, treatments, and outcomes of cases undergoing surgical treatment for abdominal cystic echinococcosis in our department between 2012 and 2022.
Diagnostic value of multi-tumor-associated autoantibody expression in esophageal squamous cell carcinoma and correlation of clinical features.
Front Immunol
January 2025
Zhongshan City People's Hospital, Zhongshan, Guangdong, China.
Objective: This study aimed to investigate the diagnostic value of 7-tumor associated autoantibodies (7-TAAB) and to evaluate the relationship between 7-TAAB and clinical features in esophageal squamous cell carcinoma (ESCC), which can be used to guide clinical diagnosis and treatment and achieve its clinical value.
Methods: (1) Blood specimens were collected from patients with ESCC who had not previously received antitumor therapy (ESCC group) and those who had normal medical check-ups in the hospital during the same period (control group). The concentrations of 7-TAAB (P53, PGP9.
Clinical and immunological features in patients with neuroimmune complications of COVID-19 during Omicron wave in China: a case series.
Front Immunol
January 2025
Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China.
Purpose: This study aimed to present clinical and immunological features in patients with neuroimmune complications of COVID-19 during Omicron wave in China.
Methods: Patients with neuroimmune complications associated with COVID-19 were retrospectively analyzed in Huashan Hospital from December 2022 to April 2023, during the widespread prevalence of Omicron variants in China. Demographic information, symptoms, electrophysiological findings, cerebrospinal fluid(CSF) test results and immunological markers, Magnetic Resonance Imaging(MRI) characteristics, treatment strategies and outcomes of these patients were reviewed and analyzed.
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