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Materias / palabras clave: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system: Psychia...

Abstract Chronic wounds represent a longstanding clinical problem due to impaired angiogenesis due to insufficient activation of vascular endothelial growth factor receptor 2 (VEGFR2). In this investigation, we used comp...

Chagas disease, caused by the unicellular parasite Trypanosoma cruzi, claims 50,000 lives annually and is the leading cause of infectious myocarditis in the world. As current antichagastic therapies like nifurtimox and b...

ABSTRACT The rapid advancement of medicine, fueled by big data and interdisciplinary research, has significantly transformed the landscape of computational oncology research. In this evolving environment, effective time ...

Materias / palabras clave: Agriculture: Animal culture: Veterinary medicine; Science

Materias / palabras clave: Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry

Sepsis remains one of the most complex and lethal syndromes in pediatric critical care, driven by dysregulated and heterogeneous host responses to infection. Despite decades of biomarker research, few biomarkers have bee...

Materias / palabras clave: blood glucose; lifestyle recommendation; patient; random forest; XGBoost

Abstract Liver cirrhosis represents a progressive vascular and metabolic disease, which results due to chronic inflammatory injury to the tissues and presents with aberrant tissue regeneration, fibrosis with nodular conf...

High-quality, openly accessible clinical datasets remain a significant bottleneck in advancing both research and clinical applications within medical artificial intelligence. Case reports, often rich in multimodal clinic...

Abstract Semiconductor lithography, a pivotal process in integrated circuit (IC) fabrication, accounts for approximately 30% of production costs and faces significant challenges as feature sizes shrink to sub-nanometer s...

Abstract Alkaline water electrolysis represents a promising pathway for green hydrogen production, yet comprehensive multi-physics simulation remains computationally prohibitive for practical design optimization. This st...

Abstract This study presents a computational investigation into the aerodynamic and thermal performance enhancement of a solar chimney power plant (SCPP) through the integration of wavy geometries along the collector roo...

Abstract This study presents an integrated numerical and experimental investigation of the aerodynamic performance of the Archimedes Spiral Wind Turbine (ASWT) under wind speeds ranging from 5 to 10 m/s. The analyses wer...

PURPOSE: To develop and validate an automated computational tool for calculating a slice-specific volume computed tomography (CT) dose index (CTDIvol), a water-equivalent diameter (Dw), and size-specific dose estimates (...

La integración entre biotecnología y nanotecnología conforma la bionanotecnología que es una disciplina que permite potenciar la utilización de biomoléculas con materiales abióticos de diseño a escala nanométric...

Abstract Preterm birth (PTB) affects an estimated 15 million infants worldwide each year, raising an enormous challenge in the field of maternal-fetal medicine. This work explores machine learning approaches for disting...

IntroductionPrecision medicine emphasizes accurate patient stratification. However, existing molecular frameworks often fail to fully capture the intrinsic heterogeneity of breast cancer (BRCA). This study aims to establ...

Abstract High-throughput omics technologies have transformed our understanding of female reproductive biology, revealing molecular interactions governing oocyte maturation, ovarian reserve, endometrial receptivity, and e...

With the widespread application of probiotics in the fields of food， health foods， and medicine， safety assessment has become the key in ensuring public health and supporting industry development. Although current ...

Abstract The safety of transmitted data is an essential element of all Cloud-IoT-based electronic healthcare (e-healthcare) systems. Through a review of prior research, we see that there have been several different secur...

Abstract Graph Neural Networks have emerged as a powerful paradigm for artificial intelligence driven drug discovery, offering molecular representation learning that surpasses many conventional approaches. Traditional ex...

Abstract Advances in artificial intelligence (AI) and multi-omics integration are reshaping precision oncology by enabling deeper mechanistic understanding, improved characterization of tumor heterogeneity, and the accel...

Abstract Globally, shrimp aquaculture is a vital source of food, but disease outbreaks present serious economic challenges. Traditional diagnostic techniques, such as visual inspection and polymerase chain reaction (PCR)...