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9 results for “Personalized Treatment”
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Research ArticleOpen accessIn the keywordsAn AI-Powered Integrated Care Model Combining Traditional Chinese Medicine and Western Medicine for Personalized Alzheimer’s Disease ManagementShurong Li, Yiming Chen, Jin Xu et al.Alzheimer's Disease (AD) gradually reduces memory and cognition. While Western medicine focuses on pharmacological treatments, it frequently ignores holistic factors such as mood and digestion. Traditional Chinese Medicine (TCM) addresses these issues through a wellness-oriented approach. However, the combination of both systems in patient care is uncommon. Current Alzheimer's disease treatments are often siloed, relying solely on Western or alternative … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 16 Feb 2026 · 2,063 accessesView PDFCite
Review ArticleOpen accessIn the abstractJAK Inhibitors for Rheumatoid Arthritis: Assessing Efficacy and Safety in TreatmentAnastasia V. Poznyak, Varvara A Orekhova, Natalia Vladimirovna Elizova et al.Rheumatoid Arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation, progressive joint destruction, and systemic complications. Dysregulated cytokine signaling through the Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway plays a central role in RA pathogenesis, making JAK inhibitors an important therapeutic option. Tofacitinib, baricitinib, and upadacitinib are oral targeted synthetic disease-modifying antirheumatic drugs that interfere with … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 8 Oct 2026 · 412 accessesView PDFCite
Research ArticleOpen accessIn the abstractRapid Recovery of Peripheral Oxygen Saturation in Hypoxic COVID-19 Patients With Ivermectin/Doxycycline/Zinc Multidrug TherapySabine Hazan, Adriana C. Vidal, Eleftherios Gkioulekas et al.Several combination therapies for the early outpatient treatment of COVID-19 were proposed by independent research groups at the onset of the pandemic during 2020 and 2021. In this observational study, we report on the outcomes of an off-label triple combination therapy, consisting of ivermectin, doxycycline, and zinc, with adjunct vitamin C and D3 supplementation, which was used on high-risk COVID-19 … …American Journal of Infectious Diseases, Vol. 22, Issue 1 · 3 Jul 2026 · 3,374 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Integrated Nursing and Digital Droplet PCR on Bullous Dermatoid Conditions: A Randomized Controlled TrialConghui ChenBullous skin disease is an autoimmune disease characterized by the formation of blisters on the skin or mucous membrane, which seriously impairs the quality of life and overall health. Similar to the research on biomolecules (mechanics of protein interaction), cells (including cell membrane elasticity, cell adhesion, cytoskeletal dynamics, response to mechanical stimulation, cell deformation and cell endoforce transfer) and tissue … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 2 Jul 2026 · 985 accessesView PDFCite
Research ArticleOpen accessIn the abstractDecoding Lung Cancer: PLAU as a Critical Driver and Diagnostic MarkerStanley Cho, Min Gyeong KimLung cancer remains a leading cause of cancer-related mortality, and understanding its underlying molecular mechanisms is critical for developing targeted therapies. We developed a novel tool called the Transcriptome-TCGA Integration (TTI), which combines in vitro transcriptome data with clinical datasets from the Cancer Genome Atlas (TCGA). TTI allows for the identification of key genes and pathways involved in lung cancer, … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 15 Feb 2026 · 1,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractPost-COVID Impact Analysis and Effective Recommendation Solutions Over Risk Prediction Using Hybrid ModelBoddeti Jaggan Mohan Ravi Kumar, P. V. G. D. Prasad Reddy, G SrinivasThe COVID-19 pandemic (2019-2022) resulted in significant global mortality, largely attributed to the virus's unpredictable pathophysiology, rapid disease progression affecting multiple organ systems, and initial lack of effective treatments. This study systematically examines post-COVID-19 complications across major organ systems, including respiratory dysfunction, cardiovascular complications, renal disorders, musculoskeletal pain, gastrointestinal disturbances, neurological sequelae, alopecia, endocrine and metabolic dysregulation, and mental health … …Journal of Computer Science, Vol. 21, Issue 11 · 23 Dec 2025 · 1,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurofeedback Therapy Meets Transformers: Rewiring Sleep Disorders Through AI-Driven EEG ModulationAmala Ann KA, Vaidhehi VSleep disorders such as insomnia, sleep Apnea, and hypersomnia significantly impair neurophysiological functioning, yet conventional treatments like Cognitive Behavioral Therapy for Insomnia (CBT-I) remain resource-intensive and difficult to personalize. This study introduces a novel AI-powered neurofeedback simulation framework designed to detect dysregulated EEG frequency band activity across sleep stages and simulate targeted interventions. A Transformer-based model serves as the core … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,674 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Framework for Systematizing Personalized Thai Herbal Medicine: A Case Study Covering Gynecological ConditionsCharinee Prompukdee, Jaratsri Rungrattanaubol, Chayanin PratoomsootThai Traditional Medicine (TTM) is an integral part of Thai traditional culture, with a history which spans many centuries. As part of this tradition, a significant number of historical pharmacopoeias and herbal textbooks have been preserved but much of the content of these texts is hard to access and interpret and so this paper proposes a framework for applying knowledge … …Journal of Computer Science, Vol. 13, Issue 6 · 24 Jun 2017 · 7,551 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordHealthcare Driven by Big Data AnalyticsCheryl Ann Alexander, Lidong WangText messages and social network posts are often included in big data and are frequently invaluable sources of health data. When machine learning or data mining is used, it is important to perform an automatic process for integrating all available and related health data. Artificial Neural Network (ANN) is one of the machine learning methods flexible in using algorithms to … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 28 Sep 2018 · 7,398 accessesView PDFCite