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Interdisciplinary Research in Medical Sciences Specialty

Volume 6, Issue 1 (2026)

A Scalable Automated Platform for Immune Tumor Organoids Enables Functional Evaluation of Chemo-Immunotherapy
Downloads: 23
Views: 190
Written by Rafael Mendoza   Published on Vol 6 Issue 1, 2026
Drug resistance frequently emerges in breast cancer during chemotherapy, and standalone immunotherapies often yield insufficient results. Therefore, the clinical advancement of combined chemo-immunotherapy strategies is critically needed. However, traditional two-dimensional cell cultures and animal models remain inadequate for reliably assessing the outcomes of such combined treatments. This study presents a straightforward automated multi-well system developed for producing tumor-associated ma

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Artificial Intelligence–Enabled Cardiac Lesion Quantification Improves Diagnosis of Sudden Cardiac Death
Downloads: 30
Views: 135
Written by Wouter De Smet   Published on Vol 6 Issue 1, 2026
Preventing sudden cardiac death (SCD) in clinical settings and establishing it accurately in forensic investigations remain difficult because of the lack of uniform quantitative standards for assessing morphological and histopathological changes in the heart. This study aimed to create a machine learning-powered system for evaluating cardiac lesions, thereby enabling more precise quantitative diagnosis and risk assessment of SCD. The investigation incorporated 2284 adult autopsy cases from the f

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Systematic Profiling of Small Non-Coding RNA Landscapes in Human Serum and Plasma Extracellular Vesicle Subtypes
Downloads: 23
Views: 205
Written by Ana Rodrigues   Published on Vol 6 Issue 1, 2026
Small non-coding RNAs (ncRNAs) function as bioactive molecules packaged inside extracellular vesicles (EVs), where they influence a broad spectrum of physiological and disease-related pathways. This investigation presents an in-depth expression atlas of seven distinct categories of small ncRNAs in EVs isolated from both serum and plasma across multiple conditions. Large EVs (lEVs) and small EVs (sEVs) alike contain considerable fractions of miRNAs ( ∼ 28.2% in lEVs and ∼ 20.8% in sEVs) and ribos

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APOA2-Driven Lipid Metabolic Remodeling Underlies the Therapeutic Effect of Platelet-Derived Apoptotic Vesicles in NAFLD
Downloads: 33
Views: 261
Written by Krzysztof Wiśniewski   Published on Vol 6 Issue 1, 2026
Nonalcoholic fatty liver disease (NAFLD) represents a spectrum of hepatic disorders that begins with simple steatosis and can advance to nonalcoholic steatohepatitis, potentially progressing further to fibrosis, cirrhosis, and hepatocellular carcinoma. At present, no pharmacological agent has received approval for the treatment of NAFLD-related hepatic steatosis. This situation highlights the urgent requirement for more effective interventions capable of modulating lipid metabolism and preventin

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A Gold Nanoparticle Spherical Nucleic Acid Probe for In Situ Detection of Exosomal and Cellular piR-651 in Cancer Diagnosis
Downloads: 35
Views: 189
Written by Ahmed Ben Ali   Published on Vol 6 Issue 1, 2026
A growing body of research indicates that PIWI-interacting RNAs (piRNAs) encapsulated in circulating exosomes represent promising novel molecular biomarkers suitable for tumor liquid biopsy. Nonetheless, available techniques for the direct in situ identification of exosomal piRNAs are still inadequate. Here, we developed a spherical nucleic acid-based probe called piR-651 that readily enters exosomes after a 2 h incubation period and permits in situ detection of piR-651 with a limit of detection

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Cross-Neutralizing Antibodies and NK Cell Immunity Underlie Protection against BA.5 Following Ad5-Boosted COVID-19 Vaccination
Downloads: 30
Views: 193
Written by Peter Nilsson   Published on Vol 6 Issue 1, 2026
Throughout the COVID-19 pandemic, multiple vaccine platforms were employed across the globe. Nevertheless, the majority depended on immunogenicity data and bridging studies instead of direct retrospective evaluation derived from actual community infections. Consequently, knowledge regarding protective processes during natural exposure to circulating variants remained incomplete. A retrospective cohort analysis based on real-world BA.5 infections was performed to determine the protective performa

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Near-Infrared II Fluorescence Imaging for Image-Guided Orbital Tumor Surgery: A First-in-Human Feasibility Study
Downloads: 24
Views: 199
Written by James O'Leary   Published on Vol 6 Issue 1, 2026
Accurate excision of orbital tumors continues to present a major surgical challenge. Near-infrared II (NIR-II) fluorescence imaging offers surgeons the possibility of real-time visualization and localization of these tumors. This study represents the first evaluation of the feasibility and potential clinical benefit of NIR-II fluorescence imaging during orbital tumor resection. A dedicated NIR-II fluorescence imaging platform was constructed, with indocyanine green (ICG) utilized as the fluoresc

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Red Blood Cell Membrane-Derived NIR-II Biohybrid Nanovesicles Enable Synergistic Mild-Temperature Photothermal and Antibiofilm Therapy
Downloads: 24
Views: 223
Written by Lukas Weber   Published on Vol 6 Issue 1, 2026
The development of antibiotic-resistant bacteria represents a major obstacle to the effective and timely management of bacterial infections, including acute bacterial skin and skin-structure infections (ABSSSI), particularly when biofilms are present. Bacterial biofilms exhibit inherent resistance to antibiotics and the host immune response, rendering biofilm-associated infections exceptionally challenging to eradicate. Consequently, the creation of novel antibacterial strategies that specifical

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Fiber-Enriched Enteral Nutrition Differentially Shapes the Gut Microbiome in Critically Ill Trauma Patients
Downloads: 27
Views: 101
Written by Maria Gonzales   Published on Vol 6 Issue 1, 2026
Disruption of the gut microbiota is a frequent occurrence among patients admitted to intensive care units. Particular shifts, including the proliferation of Enterobacteriaceae and other opportunistic pathogens (pathobionts), have been associated with worse clinical outcomes. In non-critically ill populations, administration of enteral nutrition containing prebiotic short-chain fructooligosaccharides (scFOS-EN) has been shown to help restore microbial balance. The consequences of scFOS-EN supplem

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Evaluating ACC/AHA Blood Pressure Categories for Predicting Adverse Pregnancy Outcomes in Nulliparous Women
Downloads: 29
Views: 101
Written by Patrick O'Connor   Published on Vol 6 Issue 1, 2026
The American College of Cardiology and American Heart Association (ACC/AHA) updated their blood pressure (BP) criteria in 2017, establishing lower thresholds to identify hypertension in non-pregnant adults. Adoption of these revised standards in pregnant women might allow earlier recognition of individuals at greater risk for complications. This approach holds particular promise for stratifying risk among first-time mothers. The present secondary analysis of the SCOPE cohort evaluated whether th

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Single-Cell Pan-Cancer Analysis Reveals MEG3 Dysregulation in Cancer-Associated Fibroblasts and Its Role in CAF Subtype Specification
Downloads: 30
Views: 126
Written by Gabriel Costa   Published on Vol 6 Issue 1, 2026
Long non-coding RNAs (lncRNAs) exert essential regulatory effects on the activation and phenotypic conversion of cancer-associated fibroblasts (CAFs). Nevertheless, their involvement has yet to be thoroughly explored using single-cell approaches. Leveraging comprehensive integrated single-cell transcriptomic datasets, we identified lncRNAs with abnormal expression patterns specifically within CAFs, the primary cellular element of the tumor microenvironment. Our analysis uncovered a pan-cancer pa

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Isolation of Circulating Tumor Cells from Cancer Patients Using Surface Charge–Based Nanotechnology
Downloads: 24
Views: 82
Written by Luca Ferraro   Published on Vol 6 Issue 1, 2026
Circulating tumor cells (CTCs) provide an essential foundation for core cancer research and for reliably assessing the outcomes of medical treatments. Yet, recovering CTCs from patient blood samples remains technically demanding, with the main obstacles stemming from limitations in biomarker selectivity and the overall sensitivity of isolation procedures. In an earlier investigation, we introduced an innovative detection strategy for CTCs centered on a defining biophysical property of cancer cel

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NAMPT-Driven Macrophage Polarization Regulates Smooth Muscle Cell Plasticity in Pulmonary Arterial Hypertension
Downloads: 29
Views: 95
Written by Pieter Botha   Published on Vol 6 Issue 1, 2026
Phenotypic modulation of smooth muscle cells (SMC) constitutes a central mechanism contributing to the development of pulmonary arterial hypertension (PAH). Despite its importance, the regulatory pathways involved are not yet fully understood. In this study, single-cell RNA sequencing was applied to pulmonary arterial tissues procured from lung transplant recipients to characterize cellular diversity and the transcriptomic signatures of major cell populations. Three separate SMC subpopulations w

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Explainable and Reproducible Machine Learning Framework for Assessment of Coronary Calcification and Segmental Stenosis on Computed Tomography Angiography
Downloads: 24
Views: 98
Written by Santiago Morales   Published on Vol 6 Issue 1, 2026
CCTA has become a standard noninvasive imaging technique for the initial diagnosis and clinical management of coronary artery disease (CAD). Advanced machine learning techniques applied to CCTA data demonstrate considerable potential for precise quantitative evaluation of CAD. In a post hoc study involving 909 subjects from the SCOT-HEART trial (with a median follow-up period of 5.8 years), we initially examined the variability of CCTA-based imaging parameters in a reference group of 221 individ

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Sympathetic–Parasympathetic Nerve Interplay in Gastric Cancer Development
Downloads: 28
Views: 85
Written by Nora Schneider   Published on Vol 6 Issue 1, 2026
Latest findings stress how vital the nervous system is for tumors to advance. Still, knowledge about the specific ways nerves affect the start and growth of stomach cancers stays quite incomplete. This project intends to uncover shifts in nerve presence, the main genes connected to them, and the key signaling routes active while gastric tumors form. We included 257 people who had gastric precancerous lesions (GPLs) drawn from four separate national patient groups. Using immunohistochemistry stai

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High-Throughput Single-Cell Microarray–Based Evaluation of Immune Function in TIM3/CD28-Modified and Conventional CD19 CAR-T Cells
Downloads: 29
Views: 95
Written by Daniel Kim   Published on Vol 6 Issue 1, 2026
Chimeric antigen receptor (CAR) T-cell therapy has become a key treatment for blood cancers thanks to its strong capacity to identify and destroy malignant cells. Evaluating the performance of these immune cells at the individual level is essential for optimizing diagnostic and therapeutic outcomes. There is a pressing need for a versatile, rapid, high-throughput, and comprehensive system to assess immune cell efficacy. In this work, the killing ability, expansion capacity, and long-term surviva

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Deep Learning–Based Ultrasound Screening Pipeline for the Diagnosis of Ovarian Masses: A Retrospective Multicenter Validation Study
Downloads: 29
Views: 210
Written by Mateo Alvarez   Published on Vol 6 Issue 1, 2026
Ovarian cancer exhibits the highest death rate among gynecological cancers and is typically first evaluated through ultrasound. However, the intricate nature of ultrasound visuals for ovarian lesions, combined with the deep pelvic positioning, demands substantial expertise for accurate subjective interpretation. Consequently, identifying ovaries and ovarian lesions, along with diagnosing ovarian cancer, remains difficult. This study sought to create an automated deep learning-based system called

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Progression of Prognostic Prediction in Pediatric Cancer from Conventional Factors to Artificial Intelligence: A Systematic Review and Meta-Analysis
Downloads: 24
Views: 209
Written by Sara Ben Youssef   Published on Vol 6 Issue 1, 2026
Modern paediatric cancer management needs improved methods for forecasting patient outcomes to enable tailored risk grouping. However, research evaluating the effectiveness, makeup, and shortcomings of current prognostic tools remains limited. This study sought to evaluate the predictive performance of conventional and more sophisticated prognostic approaches. This systematic review and meta-analysis (registered as CRTN42022370251) involved a comprehensive literature search across PubMed, Embase

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Assessing the Analytical and Clinical Validity of AI-Based Tumor-Infiltrating Lymphocyte Scoring in TNBC and the Interchangeability of Machine Learning Models
Downloads: 26
Views: 256
Written by Noah Williams   Published on Vol 6 Issue 1, 2026
Manual evaluation of tumor-infiltrating lymphocytes (TILs) by pathologists has revealed important predictive and prognostic roles in both early-stage and advanced triple-negative breast cancer (TNBC). Despite this, the approach continues to suffer from inconsistency. Artificial intelligence (AI) represents an effective way to minimize such inconsistency and support fully automated, impartial TILs measurement. The main hurdle to widespread clinical use is proving strong analytical and prognostic

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Deep Learning–Based Video Analysis for Identifying Neurologic Changes in Critically Ill Infants: A Retrospective Single-Center Cohort Study
Downloads: 39
Views: 291
Written by Elena Petrova   Published on Vol 6 Issue 1, 2026
Changes in infant alertness and neurological status may indicate serious underlying conditions, yet these are typically evaluated through physical examinations that occur intermittently and involve subjective judgment. There is a clear need for dependable, ongoing monitoring techniques. We proposed that a computer vision technique using pose estimation artificial intelligence (AI) to monitor movement could help forecast neurological alterations in the neonatal intensive care unit (NICU). Video r

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Dimethyl Itaconate Attenuates Dendritic Cell and CD8+ T Cell Responses to Prevent Vitiligo Progression
Downloads: 31
Views: 321
Written by Lina Hassan   Published on Vol 6 Issue 1, 2026
Although autoimmunity driven by dendritic cells (DCs) and CD8+ T cells plays a central role in the destruction of melanocytes during vitiligo, effective treatments are scarce due to the lack of approaches that simultaneously address both cell populations. We investigated the link between the immunoregulatory metabolite itaconate and vitiligo progression by measuring serum itaconate concentrations in patients with vitiligo and tracking depigmentation in Acod1 knockout (KO) mice, which lack endoge

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Contribution of Metabolic, Perfusion, and Diffusion Imaging to the Improvement of Diagnosis and Outcome Prediction in H3K27-Altered Diffuse Midline Gliomas
Downloads: 23
Views: 222
Written by Saif Al-Hinai   Published on Vol 6 Issue 1, 2026
The purpose of this investigation was to determine the added value of metabolic imaging, perfusion mapping, and diffusion kurtosis imaging (DKI) in accurately identifying and forecasting outcomes for patients with H3K27-altered diffuse midline gliomas (DMGs). A total of 95 individuals (mean age 16.98 years; 61.1% female) with brainstem masses were enrolled between June 2020 and May 2023. This cohort included 71 patients with H3K27-altered DMGs and 24 patients harboring H3K27 wild-type brainstem

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Established in 2019, Galaxy Publication stands as a global academic publishing house focused on advancing scholarly work across medicine, nursing, and health sciences. Through its network of peer-reviewed journals, the organization brings together original research and academic contributions from scholars around the world, creating a shared space for knowledge exchange and intellectual collaboration.