Enhanced Survival Rate Research Articles

AI-Powered Predictive Models For Cancer Detection: Advancing Radiology Analysis In Breast And Lung Cancer Diagnosis

Cancer functions as a top-ranking disease which leads to deaths worldwide, yet early precise detection means vital elements to enhance survival rates among patients. The current traditional diagnostic methods, which depend on radiology-based approaches such as mammography and computed tomography (CT), require human interpretation that suffers from errors and variability. The accuracy and efficiency of cancer detection have improved much through recent advancements in artificial intelligence (AI), mainly due to deep learning and machine learning techniques. Combining AI predictive models, particularly CNNs and transformer-based and hybrid models, provides effective breast and lung cancer detection through automated radiology analysis with superior performance. This paper investigates artificial intelligence systems that analyze mammograms, X-ray images, and CT scans for better diagnostic accuracy and precision. The evaluation focuses on multiple AI algorithms, their training datasets, and their precise identity of cancerous lesions. The research extensively analyses clinical application problems, including data heterogeneity and model bias, and explains ability and regulatory compliance challenges. The discussion consists of AI implementation within the healthcare construct and demonstrates its capability to detect cancers early while cutting down diagnosis time and optimizing patient care. Different AI-based methodologies experience evaluation through a comparison test, which shows their success rate in detecting cancer while decreasing incorrect positive and negative results. Researchers demonstrate through their findings that artificial intelligence transforms radiology by establishing novel screening approaches that are faster, more efficient, and more personalized. AI solutions implemented in oncology have futuristic potential due to their ability to facilitate early diagnosis, which leads to superior patient results.

Real-World Data Confirm That the Integration of Deuterium Depletion into Conventional Cancer Therapy Multiplies the Survival Probability of Patients

Background: Over thirty years of basic research has demonstrated that the deuterium-to-hydrogen ratio plays a pivotal role in regulating metabolism and cell growth via a sub-molecular regulatory system that orchestrates the intricate complexity of life in eukaryotic organisms. Deuterium depletion, achieved through deuterium-depleted water (DDW), has shown anticancer effects in vitro, in vivo, and in Phase 2 prospective and retrospective clinical studies. Methods: In this population-based observational study, 2649 cancer patients undergoing conventional therapy and consuming DDW were included between October 1992 and October 2024. With various cancer types and stages and conventional therapies received, they are representing a broad spectrum of the Hungarian cancer population. Survival was selected as the primary endpoint, and the median survival time (MST) of these patients and various subgroups was calculated and compared to the overall Hungarian cancer population’s MST of 2.4 years. Results: For the entire study population, MST from diagnosis was 12.4 years (95% CI: 9.8–14.9), and from the initiation of DDW treatment, 7.6 years (95% CI: 5.9–9.3). Conclusions: Utilizing DDW enables targeted intervention in the sub-molecular regulatory system, paving the way for innovative therapeutic applications and a more profound understanding of cellular processes. Integrating deuterium depletion into conventional cancer therapies has the potential to significantly enhance survival rates and reduce cancer-related mortality by 75–80%.

Morden AI Tools in Breast Cancer: A Comprehensive Review

Breast cancer is a prevalent malignancy affecting millions globally, necessitating early detection to enhance survival rates. This research paper explores the transformative role of artificial intelligence (AI) in improving breast cancer detection through advanced medical imaging techniques. It delves into various AI tools, such as machine learning algorithms and deep learning models, that analyze mammograms, ultrasound, and MRI scans with high accuracy, aiding radiologists in identifying abnormalities and predicting malignancy. The paper reviews recent advancements, methodologies, and performance metrics of AI applications in breast cancer diagnostics, highlighting their potential to minimize false positives and negatives, standardize image interpretation, and enhance overall diagnostic quality

Nanodiamond-Protein hybrid Nanoparticles: LHRH receptor targeted and co-delivery of doxorubicin and dasatinib for triple negative breast cancer therapy.

Nanodiamond-Protein hybrid Nanoparticles: LHRH receptor targeted and co-delivery of doxorubicin and dasatinib for triple negative breast cancer therapy.

In vitro and preclinical evaluation of the antifungal activity of 6-methoxy-1 H-indole-2-carboxylic acid produced by Bacillus toyonensis strain OQ071612 formulated as nanosponge hydrogel

BackgroundIn a previous study, 6-methoxy-1 H-indole-2-carboxylic acid (MICA) was isolated from the culture broth of Bacillus toyonensis strain OQ071612 soil isolate in our laboratory, and it demonstrated promising antifungal activities. The current study was designed to create a nanosponge (NS)-hydrogel (HG)-containing MICA followed by in vitro and preclinical evaluation for potential clinical use in the topical treatment of mycotic infections.ResultsThe enhanced NS formula was created using the Box Behnken Design (BBD), with independent process parameters including polyvinyl alcohol percentage (w/v%), homogenization time, speed and polymer: linker ratio. Dependent parameters were particle size (PS), polydispersity index (PDI), and entrapment efficiency percent (EE%). A hydrogel was formulated from the NS. In vitro drug release data indicated that the hydrogel best matched Higuchi’s kinetic release model. The formulated NS-HG was stable and when compared to fluconazole, it exhibited increased antimycotic activity against C. albicans. An in vivo investigation revealed that MICA-NS-HG enhanced survival rates, wound gap repair, wound reduction, and inflammation inhibition. Masson’s trichrome staining and histological analyses revealed increased collagen deposition and improved healing. Moreover, MICA hydrogel exhibited 1.5-fold greater permeability through rat skin compared to the control, 1% isoconazole.ConclusionThe NS-HG formulation is a viable vehicle for better and more effective topical release of MICA. These findings represent a significant advancement in the formulation of MICA derived from naturally occurring soil bacteria.

Tumour-Derived, Extracellular Microvesicles in the Treatment of Acute Renal Failure: An Experimental Study

Background/Objectives: This investigation compared the therapeutic efficacy of extracellular microvesicles (MVs) derived from murine L929 sarcoma cells and murine mesenchymal stem cells (MSCs). Methods: A mouse model of acute kidney injury (AKI) was used. Results: Both MVs from L929 cells (L929-MVs) and MSCs (MSC-MVs), unlike those obtained from murine peripheral blood mononuclear cells (PBMCs), enhanced survival rates in AKI mice and significantly improved kidney function. This was indicated by decreased levels of urine albumin and serum creatinine. Furthermore, treatment with L929-MVs and MSC-MVs elevated the proportions of CD4+CD25+FOXP3+ regulatory T cells while reducing the presence of pro-inflammatory CD4+CD44+ T cells in the spleens of AKI mice. Conclusions: the results highlight the potential of tumour-derived MVs to facilitate organ repair and exert cytoprotective immunomodulatory effects.

Cardiogenic Shock Teams: Past, Present, and Future Directions.

Cardiogenic shock (CS) remains a significant challenge in cardiovascular medicine, characterized by substantial morbidity and mortality. Historically, patient outcomes in CS have been varied, highly dependent on the timeliness of interventions and the expertise available at treating centers. Emerging evidence indicates that structured, team-based approaches significantly improve survival rates and diminish complications linked to CS. However, several challenges for implementing a team-based approach persist, including optimizing team composition and resource distribution. This article delves into the evolution, current implementations, and future directions of CS teams, emphasizing their crucial role in enhancing patient outcomes. We advocate for the adoption of standardized protocols to ensure uniformity of care across institutions, highlighting the critical need for prompt recognition and management strategies that integrate invasive hemodynamic monitoring and early mechanical circulatory support. Looking ahead, we propose the extension of CS team models into regional networks, broadening their impact through education, telemedicine and collaborative protocols. We also emphasize the importance of continuous research and data sharing via national registries to refine CS team strategies and substantiate their effects on patient outcomes. Ultimately, this review highlights the imperative for ongoing innovation and standardization in CS team operations to improve care delivery and enhance survival rates in CS scenarios.

Emerging Role of Molecular Testing in the Management of Non-Metastatic Non-Small Cell Lung Cancer.

Advances in targeted therapies and immune checkpoint inhibitors have significantly enhanced survival rates for patients with metastatic non-small cell lung cancer (NSCLC). For non-metastatic NSCLC, addition of immune checkpoint inhibitors post-chemoradiotherapy has improved outcomes in stage III disease and during the perioperative phase for stages IB-IIIA. Recently, adjuvant osimertinib and alectinib therapy have demonstrated improved survival for patients with EGFR or ALK alterations, respectively, and they have been established as standard therapies. Furthermore, osimertinib has proven effective when administered following chemoradiotherapy in stage III NSCLC. These studies highlight the necessity to assess EGFR and ALK status to guide treatment decisions for almost all NSCLC patients, regardless of whether they will undergo curative surgery, chemoradiotherapy, or as palliative chemotherapy. This review summarizes recent trials on perioperative and post-chemoradiation therapy and argues that molecular testing is required for non-metastatic NSCLC to improve patient outcomes.

Enhancing Patient Outcomes in Intra-Aortic Balloon Pump Therapy: The Critical Role of Nurse-Led Interventions

Intra-aortic balloon pump (IABP) therapy is a vital intervention for patients with severe cardiac conditions, offering haemodynamic support in life-threatening situations. However, the success of this therapy depends significantly on the knowledge, skills, and care provided by nursing professionals. This comprehensive review explores the essential role of nurses in optimising IABP therapy, focusing on their key responsibilities, patient monitoring, and the delivery of compassionate, patient-centred care.The review outlines the evolution of IABP technology, its mechanism of action, and the common complications associated with its use, including limb ischaemia, infection, and bleeding. A key focus is the impact of nurse-led interventions in minimising these risks, ultimately improving patient recovery, reducing hospital stays, and enhancing survival rates. Evidence suggests that proactive nursing care, including vigilant monitoring and early detection of complications, plays a critical role in improving patient outcomes.Despite technological advancements, challenges persist in the effective use of IABP therapy, such as gaps in training, variations in nursing practice, and limited resources. To address these issues, the review emphasises the need for evidence-based guidelines, continuous professional education, and multidisciplinary collaboration. Integrating these elements ensures that nurses can provide high-quality care, enhancing the safety and effectiveness of IABP therapy.Additionally, this article highlights areas for further research into innovative technologies and nurse-led solutions that could enhance IABP management. It also underscores the need for policy reforms to support the implementation of best practices in healthcare systems, ultimately improving patient outcomes. Core Insight: Nurses are at the heart of optimising intra-aortic balloon pump (IABP) therapy, bridging technology with compassionate care. Their expertise in monitoring, early intervention, and patient-centred support significantly improves outcomes. Strengthening nurse-led interventions through evidence-based training and collaboration is essential to maximising IABP’s potential and transforming cardiac care.

Sex-Related Differences in Immunotherapy Toxicities: Insights into Dimorphic Responses.

Significant sex-based differences exist in the immune system and antitumor immune responses, potentially leading to variations in both the efficacy and toxicity of anticancer immunotherapies. Women generally mount stronger innate and adaptive immune responses than men, which can result in more severe immune-related adverse events (irAEs) during treatments with immune checkpoint inhibitors (ICIs). However, the importance of sex dimorphism in the safety of cancer immunotherapy remains underexplored in clinical oncology, despite its profound implications for treatment outcomes. Our review highlights the critical influence of biological sex on pharmacokinetics, pharmacodynamics, and immune responses, shaping ICI efficacy and the prevalence, type, and severity of irAEs. Integrating sex as a critical variable in cancer treatment and clinical trial design is essential for personalizing therapeutic strategies, bridging existing knowledge gaps, and enhancing survival rates and quality of life for patients across genders.

Pan-cancer analysis of the prognosis and immune infiltration of NSUN7 and its potential function in renal clear cell carcinoma

BackgroundNSUN7, an enzyme responsible for the RNA m5c modification, has been recognized as a valuable indicator for predicting and diagnosing an array of cancer. Nevertheless, there is still a scarcity of thorough analyses exploring its diagnostic, predictive, and immune system-related importance in various types of cancer.MethodsWe integrated multiple publicly available databases, including TCGA, TISIDB, TISCH2, and UALCAN, to comprehensively investigate the role of NSUN7 in pan-cancer across various omics data types. The research included examining survival rates, genetic mutations, immune cell presence in tumors, analyzing differences in gene expression, and studying individual cells, among other things.ResultsNSUN7 expression showed an increase across 12 cancer types and a decrease in another 12 types. NSUN7 was discovered to be linked with enhanced survival rates in bladder urothelial carcinoma (BLCA), kidney renal clear cell carcinoma (KIRC), kidney renal papillary cell carcinoma (KIRP), lung adenocarcinoma (LUAD), pheochromocytoma and paraganglioma (PCPG), skin cutaneous melanoma (SKCM), and uveal melanoma (UVM).On the other hand, NSUN7 seemed to have a detrimental impact on the prognosis of glioblastoma multiforme/brain lower grade glioma (GBMLGG), adrenocortical carcinoma (ACC),acute myeloid leukemia (LAML), stomach adenocarcinoma (STAD), and brain lower grade glioma (LGG). Furthermore, our experimental validation confirmed the inhibitory effect of NSUN7 on proliferation of renal clear cell carcinoma while elucidating its specific part in blocking cell cycle progression.ConclusionsThe findings underscore the potential utility of NSUN7 as a valuable prognostic indicator for patients and offer insights into the mechanisms underlying cancer initiation and progression.

Inhibition of neutrophil extracellular traps alleviates blood–brain barrier disruption and cognitive dysfunction via Wnt3/β-catenin/TCF4 signaling in sepsis-associated encephalopathy

BackgroundNeutrophils and neutrophil extracellular traps (NETs) have been identified as crucial contributors in several neuroinflammatory models, such as stroke and traumatic brain injury, but their role in sepsis-associated encephalopathy (SAE) has not been thoroughly investigated.MethodsIn this study, we established an SAE model using cecal ligation puncture (CLP) surgery to examine neutrophil infiltration and NETs formation. A protein arginine deiminase 4 (PAD4) inhibitor, GSK484, was employed to suppress NETs release. To assess changes in hippocampal gene expression induced by GSK484 treatment in CLP mice, we utilized RNA sequencing (RNA-Seq) combined with bioinformatics analysis. Additionally, the Elisa, cognitive function test, western bolt and immunofluorescence staining were used to measured hippocampal inflammatory cytokine, cognitive function, and the protein levels of tight junctions (TJs) and adherens junctions (AJs) in SAE mice. We also established a Transwell™ co-culture system using bEnd.3 cells and bone marrow-derived neutrophils to examine the effects of GSK484 on endothelial cell function. This comprehensive approach allowed us to evaluate the impact of NETs inhibition on neuroinflammation, cognitive function, and the underlying molecular mechanisms in the CLP-induced SAE model.ResultsOur findings revealed that neutrophils were significantly overactivated, releasing abundant NETs in the hippocampus of CLP-induced SAE mice. Inhibition of NET formation using GSK484 led to reduced neuroinflammatory responses, improved blood–brain barrier (BBB) integrity, and enhanced survival rates and cognitive function in SAE mice. RNA-Seq and bioinformatics analyses identified the Wnt signaling pathway as the most significant pathway affected. Subsequent experiments demonstrated that NETs inhibition alleviated BBB damage primarily by increasing the expression of Occludin, a TJs protein, and promoting the formation of the VCL/β-catenin/VE-cadherin complex at AJs, mediated by the Wnt3/β-catenin/TCF4 signaling pathway.ConclusionsOur results suggest that inhibition of NETs may protect BBB permeability and cognitive function through the Wnt3/β-catenin/TCF4 signaling pathway in the context of CLP-induced SAE, which provides a promising strategy for SAE therapy.Graphical

Assessing economic and biological challenges in semi-intensive cultivation of Litopenaeus vannamei: identifying opportunities for enhancement in an earth-ponded shrimp farm in Sinaloa, Mexico

Shrimp aquaculture is a rapidly growing system globally, driven by accessible markets and burgeoning demand. In the Mexican context, whiteleg shrimp (Litopenaeus vannamei) is the main aquaculture organism. The objective of this study was to evaluate the feasibility and profitability of both a short-term harvest lasting nine weeks within a semi-intensive farm and a 26-week harvest conducted on the same farm during the same operational year. This study meticulously tracked biological and economic variables for both production schemes. The results revealed an average final shrimp weight of 8.09 g with a growth rate of 0.79 ± 0.56 g/week for the 9-week harvest and 26.7 g. with a growth rate of 1.03± 0.44 g/week for the 26-week harvest. The net revenue for the 9-week harvest reached 145,213.46 USD, with a benefit-cost ratio of 2.07, whereas the net revenue for the 26-week harvest reached 1,361,415.86 USD, with a benefit-cost ratio of 2.62. As a negative forecast, the 9-week harvest risk analysis indicated a high certainty of exceeding limit reference points (LRP) for growth, survival, and biomass. In contrast, target reference points (TRP) showed a certainty of 0% to be exceeded. While the economic analysis showcased a favorable benefit-cost ratio, the study underscores the vulnerability of semi-intensive systems to physicochemical impacts, necessitating dynamic economic tools for profitability assessments. An analysis of state-of-the-art was carried out to search for simple, low-cost strategies and proposals to improve the efficiency of crops in low-tech, semi-intensive systems. The findings emphasize research avenues for improvement, particularly in optimizing larval quality validation, water quality, and feed strategies, and exploring innovative approaches like natural immunostimulants to enhance survival rates and overall net revenue in semi-intensive shrimp farming in northwestern Mexico.

A Review on Types and Treatment Strategies of Severe Combined Immunodeficiency

Severe Combined Immunodeficiency (SCID) is a rare and life-threatening congenital disorder affecting the immune system's functionality due to mutations in crucial genes involved in immune cell development. This review provides a comprehensive overview of SCID, covering its genetic basis, immune system components, clinical manifestations, diagnostic methods, and treatment strategies. The review emphasizes the importance of early detection through newborn screening, enabling prompt treatment and enhancing survival rates for individuals with SCID. SCID can be classified as Typical, Atypical which also includes Omenn Syndrome, atypical/leaky, variant. Gene mutations with various severe infections, diarrhea, lack of T cells, reduction in naive T cells, increase in T cells and absence of proliferative responses to mitogens, or T cells with a maternal ancestry are all characteristics of typical SCID. About a dozen genes, which together make up the rare genetic condition SCID, are chiefly responsible for its X-linked or autosomal recessive inheritance. Due to infrequent incidences, early detection and treatment may go unnoticed. CD3+ > 300 cells/L and a diminished, but discernible, proliferative response to PHA (>10-30% of the control) are characteristics of atypical SCID. Other names for it include "leaky SCID”. When there is no known gene issue and there are still 300–1500 T cells per liter with reduced function, variant SCID is diagnosed. The treatment options available to treat SCID are bone marrow transplantation also known as hematopoietic stem cell transplant (HSCT), gene therapy, enzyme replacement therapy, gamma globulins etc. The most widely used treatment with a high success rate is bone marrow transplantation (BMT), which can enable the body to once again create those vital infection-fighting cells. Blood cell production occurs in the bone marrow. Most SCID children pass away before they are two without a BMT. Keywords: Bubble boy disease, gene therapy, hematopoietic stem cell transplantation (HSCT), bone marrow transplantation (BMT), Enzyme replacement therapy (ERT).

Radioactive stent versus normal stent insertion for inoperable malignant biliary obstruction: a systematic review and meta-analysis.

This systematic review and meta-analysis examined the comparative efficacy and safety of radioactive stents versus normal metal stents for the management of malignant biliary obstruction (MBO). A comprehensive search of databases including PubMed, the Cochrane Library, and Embase was conducted to identify pertinent studies up to June 2024. The primary focus of this meta-analysis is on stent patency, postoperative survival, and the incidence of complications. The meta-analysis revealed that there was no statistically significant difference in the occurrence of complications, such as bleeding (p = 0.32), cholangitis (P = 0.19), pancreatitis (P = 0.43), and cholecystitis (P = 0.99), between the two types of stents. However, the radioactive stent demonstrated a significant improvement in both stent patency time (HR = 0.60, 95% CI 0.50-0.73; P < 0.001) and patient survival time (HR = 0.63, 95% CI 0.53-0.74, P < 0.001). The results indicate that radioactive stents could present a more effective option compared to traditional stents for palliative management of malignant biliary obstruction, resulting in prolonged stent patency and potentially enhancing survival rates.

The relationship between the dynamic trajectory of inflammatory markers in VA-ECMO patients and the 28-day survival rate, as well as mediating causal analysis.

Veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is a simplified cardiopulmonary bypass device that provides temporary respiratory and circulatory support and adequate recovery time for the heart and lung, but the mortality rate of acute and critically ill patients undergoing VA-ECMO is still high. Progression of systemic inflammatory response is associated with mortality in ECMO patients. The objective of this study was to investigate the dynamic changes of various inflammatory markers and their relationship with 28-day mortality in patients with VA-ECMO. A retrospective cohort analysis was conducted on 200 patients receiving VA-ECMO treatment evaluating inflammatory markers including neutrophil-to-lymphocyte ratio (NLR), systemic inflammatory response index (SIRI), procalcitonin (PCT), interleukin-6 (IL-6), and C-reactive protein (CRP) at various time points. A dynamic trajectory model was constructed, and survival differences between groups were assessed using Kaplan-Meier plots and log-rank tests. Multiple Cox proportional hazard models were built to analyze the relationship between dynamic trajectories and clinical outcomes. Causal mediation analysis was applied to determine whether changes in inflammatory trajectories mediated survival outcomes in patients on VA-ECMO through other variables. Age, Acute Physiology and Chronic Health Evaluation (APACHE) II score, Lactic acid, PCO2, aspartate aminotransferase (AST) levels, diastolic blood pressure, mean arterial pressure and pH significantly impacted the 28-day survival rate (p < 0.05), with higher mortality observed in patients exhibiting poor inflammatory trajectories.Kaplan-Meier survival analysis revealed that patients in the ascending (AS) group had a significantly higher risk of death than those in the stable (ST) and descending (DS) groups (log-rank p < 0.001). Furthermore, multivariate Cox regression analysis identified IL-6 as the most strongly correlated inflammatory marker with mortality risk [Hazard ratio (HR) = 1.97, 95% confidence interval (CI) 1.35-2.87, p < 0.001]. This study highlights the importance of dynamic monitoring of inflammatory biomarkers in patients on VA-ECMO, suggesting that individualized treatment adjustments based on these markers could enhance survival rates. Future research should prioritize larger, multicenter cohort studies and clinical trials to validate these findings, aiming to optimize treatment strategies for patients on VA-ECMO.

Recent Progress of Polymer-Based Biosensors for Cancer Diagnostic Applications: Natural versus Synthetic Polymers.

Early diagnosis of cancer can significantly contribute to improving therapeutic outcomes and enhancing survival rates for cancer patients. Polymer-based biosensors have emerged as a promising tool for cancer detection due to their high sensitivity, selectivity, and low cost. These biosensors utilize functionalized polymers in different parts of the body to detect cancer biomarkers in biological samples. This approach offers several advantages over traditional detection methods, including real-time monitoring and noninvasive detection while maintaining high sensitivity and accuracy. This review discusses recent advances in the development of polymer-based biosensors for cancer detection including their design, fabrication, and performance. The essential characteristics of biosensing devices are presented, along with examples for natural and synthetic polymers commonly utilized in biosensors. Furthermore, strategies employed to tailor polymers to improve biosensing applications and future perspectives for the application of polymer-based biosensors in cancer diagnosis are also highlighted. Integrating these advancements will illuminate the potential of polymer-based biosensors as transformative tools in the early detection and management of cancer.

Numerical investigation on the quasi-static compression characteristics of bio-inspired horizontally grooved square tubular structure for the application in crash boxes

Numerical investigation on the quasi-static compression characteristics of bio-inspired horizontally grooved square tubular structure for the application in crash boxes

Biodegradable polyester-based hyperbranched nanocarrier-modified with N-acetyl glucosamine for efficient drug delivery to cancer cells through GLUTs.

Cancer, ranking just below cardiovascular diseases, is a leading cause of mortality worldwide. The key to enhancing survival rates among cancer patients lies in the early detection, removal, and treatment of tumors. However, the broad-spectrum nature of current treatments, including chemotherapy and radiation therapy, results in significant collateral damage to healthy cells and tissues. In this context, hyperbranched polymers present a promising avenue for more targeted therapy. These polymers can be loaded with chemotherapeutic drugs and modified with specific ligands to selectively target cancer cells via glucose transporters, which are overexpressed in many cancer types. To enhance the delivery of drugs to cancer cells, we have engineered an N-acetyl glucosamine conjugated version of this polymer. The characterization of these nanocarriers was evaluated using various techniques, including 1H NMR, dynamic light scattering, and FTIR spectroscopy. Additionally, confocal microscopy was utilized to compare the accumulation of doxorubicin in cancer cells using both the N-acetyl glucosamine-conjugated and unmodified versions of H40 Boltorn™. Our observations indicated a superior accumulation of doxorubicin in cells treated with the modified H40 polymer. Further evaluation of the drug-loaded nanocarriers was conducted on MDA-MB-231 and 4T1 breast cancer cell lines, focusing on their cytotoxic effects. This suggests that the targeted delivery of anticancer drugs using the modified H40 Boltorn™ nanocarriers significantly enhances the ability to kill breast cancer cells, offering a more efficient and selective approach to chemotherapy that minimizes impact on healthy tissues and cells.

Targeted inhibition of NEK7 preventing sepsis-induced cardiomyopathy by inhibiting NLRP3 inflammasome.

Targeted inhibition of NEK7 preventing sepsis-induced cardiomyopathy by inhibiting NLRP3 inflammasome.