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EngMedicine
Scopus
ISSN 2950-4899 · Elsevier · 82 artikel di indeks
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Artikel Jurnal
Multi-modal data analysis for autism spectrum disorder in children: State of the art and trends
Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder. Early diagnosis and intervention are crucial for improving outcomes. Traditional single-modality diagnostic methods are subjective, limited, and struggle to reveal the underlying pathological mechanisms. In…
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Artikel Jurnal
Bioelectronic medicine in the rehabilitation of diseases: Opportunities and challenges
Bioelectronic medicine is a discipline that employs various electronic devices and technologies to diagnose, treat, and monitor biological systems and diseases. With continuous technological advancement, numerous bioelectronic devices are now utilized as independent therapeutic interventions or as…
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Artikel Jurnal
Innate lymphoid cells as emerging players in cancer immunotherapy
With advances in immunology, immune-based approaches to cancer treatment have gradually matured. However, owing to the current limitations of these therapies, there is a need to improve the understanding of the complex immune microenvironment of tumors. Tumor cell progression triggers inflammatory…
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Artikel Jurnal
Clinical evaluation of GenAI adaptive cancer therapy
The learning and inferencing capabilities of large language models (LLMs) that underlie generative artificial intelligence (GenAI) can be exploited to optimize cancer treatments and improve patient outcomes. The ability of these models to learn from large amounts of clinical, molecular, and…
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Artikel Jurnal
Clinical research on artificial intelligence medical diagnostic devices: A scoping review
Background: Artificial intelligence medical diagnostic devices (AIMDDs) show strong potential but face barriers to clinical use, emphasizing the need for rigorous clinical research. Objective: We assessed current AIMDD research, key challenges, and future directions. Methods: A scoping review…
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A machine learning model for mortality risk prediction of sepsis patients based on the medical information mart for intensive care III database
Sepsis poses a serious threat to patient survival, making timely risk assessment crucial. Predicting in-hospital mortality based on clinical indicators can aid in making better clinical decisions. Previous studies have focused on classifier selection but lacked a comprehensive analysis of feature…
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Artikel Jurnal
Micro/nanorobots for treating inflammatory bowel disease
Inflammatory bowel disease (IBD) is a significant global public health issue in which many therapies are applied in clinical practice. However, efficient drug delivery within the harsh environment of the gastrointestinal (GI) tract containing gastric acid, mucus, and the epithelial cell barrier is…
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Artikel Jurnal
Assembly/disassembly-based targeting protein degradation systems for cancer therapy
Targeted protein degradation (TPD) is an innovative strategy for selectively eliminating pathogenic proteins, enabling precise degradation of once-undruggable targets in cancer therapy. However, current TPD molecules are often limited by poor tumor targeting and the need for high doses. To overcome…
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Artikel Jurnal
Nanomedicine meets transplantation: Unlocking precision therapeutics for organ rejection
Transplant rejection remains a leading cause of graft failure after organ transplantation. Current immunosuppressive therapies can reduce acute rejection, but their lack of specificity often leads to systemic side effects and long-term complications. Therefore, novel strategies for localized and…
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Artikel Jurnal
Joint library preparation and analysis methods for single-cell genome-transcriptome co-assays
Single-cell multi-omics technology enables the simultaneous acquisition of genomic and transcriptomic information within the same cell, providing unprecedented resolution for elucidating cellular heterogeneity, genotype-phenotype associations, and disease mechanisms. In this review, we…
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Harnessing biophysical stimuli to regulate bone remodeling: Emerging therapeutic strategies and advances in regenerative engineering
Bone remodeling, a highly regulated dynamic process critical for skeletal integrity and adaptability, is disrupted by pathological conditions such as fractures and osteoarthritis, leading to impaired bone structure and function. Although effective, traditional pharmacological treatments fail to…
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Artikel Jurnal
Force sensing of hepatic stellate cell in real-time with photonic crystal cellular force microscopy
The contractile force exerted by hepatic stellate cells (HSCs) plays a critical role in both physiological and pathological processes in the liver. Endothelin-1 (ET-1), a key inducer of HSC activation and contraction, can rapidly trigger cellular contractions within minutes, placing demands on the…
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Artikel Jurnal
Wearable ultrasound: Recent advances and applications in biomedical engineering
Wearable health monitoring devices have emerged as key enablers of personalized and digitalized medical surveillance. However, their predominant focus on superficial physiological signals limits early diagnosis because many major diseases originate from pathological changes deep within tissues…
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Artikel Jurnal
Artificial intelligence for diabetes complications: Detection, prediction, and clinical management
The rapid advancement of artificial intelligence (AI) technology has the potential to optimize the detection, prediction, and management of diabetes and its complications. This review explores the latest developments in the research and innovation of AI-driven applications for the management of…
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Artikel Jurnal
Evolution of embolization microspheres from physical occlusion to theranostic modulation in hepatocellular carcinoma treatment
Primary liver cancer remains the leading cause of global mortality, with hepatocellular carcinoma (HCC) accounting for the majority of cases arising from chronic inflammation and cirrhosis. Transarterial interventions including chemoembolization and radioembolization are standard therapies for…
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Data- and knowledge-driven multimodal learning in computational pathology: A comprehensive survey
Computational pathology (CPath) is undergoing a transformative evolution, driven by the convergence of large-scale biomedical data and breakthroughs in deep learning and large language models. Medical data is collected using different measurement modalities or sources, each providing complementary…
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Foundation models in medical imaging: A review
Foundation models (FMs), which are large-scale architectures pretrained on diverse datasets, are rapidly reshaping artificial intelligence (AI). In medical imaging, these models provide unified methods for learning rich visual and multimodal representations, facilitating accurate diagnoses…
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Artikel Jurnal
Targeting the gut microbiota in type 1 diabetes mellitus: Therapeutic potential of probiotics and prebiotics
Type 1 diabetes mellitus (T1DM) management faces limitations with conventional insulin therapy, prompting exploration of novel strategies targeting gut microbiota dysregulation. Accumulating evidence indicates that gut microbial alterations significantly compromise intestinal barrier integrity and…