Biomolecules & biomedicine最新文献

{"title":"Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers.","authors":"Mohammed Abdul Lateef Junaid","doi":"10.17305/bb.2024.11537","DOIUrl":"10.17305/bb.2024.11537","url":null,"abstract":"<p><p>Artificial intelligence (AI) has become a powerful tool in biochemistry, greatly enhancing research capabilities by enabling the analysis of complex datasets, predicting molecular interactions, and accelerating drug discovery. As AI continues to evolve, its applications in biochemistry are poised to expand, revolutionizing both theoretical and applied research. This review explores current and potential AI applications in biochemistry, with a focus on data analysis, molecular modeling, enzyme engineering, and metabolic pathway studies. Key AI techniques-such as machine learning algorithms, natural language processing, and AI-based molecular modeling-are discussed. The review also highlights emerging research areas benefiting from AI, including personalized medicine and synthetic biology. The methodology involves an extensive analysis of existing literature, particularly peer-reviewed studies on AI applications in biochemistry. AI-driven tools like AlphaFold, which have significantly advanced protein structure prediction, are evaluated alongside AI's role in expediting drug discovery. The review also addresses challenges such as data quality, model interpretability, and ethical considerations. Results indicate that AI has expanded the scope of biochemical research by facilitating large-scale data analysis, enhancing molecular simulations, and opening new avenues of inquiry. However, challenges remain, particularly in data handling and ethical concerns. In conclusion, AI is transforming biochemistry by driving innovation and expanding research possibilities. Future advancements in AI algorithms, interdisciplinary collaboration, and integration with automated techniques will be crucial to fully unlocking AI's potential in advancing biochemical research.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"739-750"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959397/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143017216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The gut microbiota modulates airway inflammation in allergic asthma through the gut-lung axis related immune modulation: A review.","authors":"Meng Zhang, Ziwen Qin, Chuanjun Huang, Bin Liang, Xiuqing Zhang, Weitao Sun","doi":"10.17305/bb.2024.11280","DOIUrl":"10.17305/bb.2024.11280","url":null,"abstract":"<p><p>The human gut microbiota is a vast and complex microbial community. According to statistics, the number of bacteria residing in the human intestinal tract is approximately ten times that of total human cells, with over 1000 different species. The interaction between the gut microbiota and various organ tissues plays a crucial role in the pathogenesis of local and systemic diseases, exerting a significant influence on disease progression. The relationship between the gut microbiota and intestinal diseases, along with its connection to the pulmonary immune environment and the development of lung diseases, is commonly referred to as the \"gut-lung axis.\" The incidence of bronchial asthma is rising globally. With ongoing research on gut microbiota, it is widely believed that intestinal microorganisms and their metabolic products directly or indirectly participate in the occurrence and development of asthma. Based on the gut-lung axis, this review examines recent research suggesting that the intestinal microbiota can influence the occurrence and progression of allergic asthma through the modulation of cytokine immune balance and mucosal integrity. Though the precise immune pathways or microbial species influencing asthma through the gut-lung axis are still under exploration, summarizing the immune modulation through the gut-lung axis in allergic asthma may provide insights for the clinical management of the condition.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"727-738"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959394/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142513971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Piezo1-driven mechanotransduction as a key regulator of cartilage degradation in early osteoarthritis.","authors":"Xu Yan, Su Fu, Ying Xie, Chunlin Zhang, Xuejian Wu","doi":"10.17305/bb.2024.11156","DOIUrl":"10.17305/bb.2024.11156","url":null,"abstract":"<p><p>Osteoarthritis (OA) is a prevalent degenerative disease characterized by pain and cartilage damage in its later stages, while early OA is marked by the loss of cartilage's mechanical function. Recent studies suggest that Piezo1, a mechanotransducer, may contribute to cartilage degradation under abnormal physical stress. This study investigates the mechanism by which Piezo1 mediates the loss of cartilage's mechanical properties. Using rat chondrocytes cultured in a 3D in vitro model, we found that fluid flow-induced physical stress activates constitutively expressed Piezo1, leading to increased catabolic activity and apoptosis, which, in turn, disrupts the matrix structure. Ex vivo cartilage experiments further demonstrated that the mechanical stress-induced loss of cartilage's physical properties (approximately 10% reduction in relaxation modulus) is mediated by Piezo1 and depends on cell viability. Notably, Piezo1 agonists alone did not alter the mechanical behavior of cartilage tissue. In vivo, using an OA rat model induced by anterior cruciate ligament transection, we observed cartilage integrity degradation and loss of mechanical properties, which were partially mitigated by Piezo1 inhibition. RNA sequencing revealed significant modulation of the PI3K signaling and matrix regulation pathways. Collectively, this study demonstrates that Piezo1-mediated catabolic activity in chondrocytes is a key driver of the loss of cartilage's mechanical function during the relaxation phase.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"905-913"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959384/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142402194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quercetin regulates sensitivity to X-ray radiation of hepatocellular carcinoma through miR-216a-3p.","authors":"Nuran Bedolla, Linyu Liu, Qiuxian Xie, Xueting Liu, Yanli Ren","doi":"10.17305/bb.2024.11125","DOIUrl":"10.17305/bb.2024.11125","url":null,"abstract":"<p><p>Hepatocellular carcinoma (HCC) is a highly aggressive liver cancer with limited therapeutic options, and enhancing radiosensitivity remains a key challenge in improving treatment outcomes. Quercetin (Que) can inhibit the progression of HCC; however, its effect on HCC radiosensitivity remains unclear. This research investigates the role of Que in regulating HCC growth and radiosensitivity, aiming to provide a scientific foundation for enhancing the clinical efficacy of radiation therapy in HCC. The CCK-8 assay was used to determine the optimal treatment conditions for Que and X-rays. Changes in cell growth, cycle arrest, invasion, migration, the relative proportion of JC-1 red and green fluorescence (mitochondrial membrane potential), and the levels of ROS, malondialdehyde, superoxide dismutase, and glutathione peroxidase (oxidative stress) were assessed using flow cytometry, Transwell assays, JC-1 staining, Western blot, and ELISA, respectively, under Que, X-ray, and co-treatment conditions. The effect of miR-216a-3p knockdown on the action of Que was also explored, and the potential pathways by which Que regulates HCC growth and radiosensitivity were investigated in conjunction with in vivo subcutaneous transplantation tumor experiments. The in vitro treatment parameters for Que and X-rays were 100 μM and 4 Gy. Que combined with X-ray therapy enhanced HCC cell radiosensitivity, reduced proliferation, invasion, and migration, and promoted oxidative stress and apoptosis. Que was found to upregulate miR-216a-3p in HCC cells. Rescue experiments with miR-216a-3p knockdowns demonstrated that Que regulates HCC cell radiosensitivity via miR-216a-3p. In vivo research further showed that Que increased tumor sensitivity to X-rays by upregulating miR-216a-3p, thereby inhibiting HCC growth. In conclusion, Que has been shown to enhance HCC radiosensitization by upregulating miR-216a-3p and inhibiting HCC progression. Que may be a promising agent for increasing the radiosensitivity of HCC.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"833-849"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959403/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142607549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy and mechanisms of curcumin in the treatment of osteoarthritis: A scoping review.","authors":"Xiaodong Ma, Wenjian Zhao, Fan Yang, Kok-Yong Chin","doi":"10.17305/bb.2024.11045","DOIUrl":"10.17305/bb.2024.11045","url":null,"abstract":"<p><p>Osteoarthritis (OA) is a degenerative joint disease that primarily affects the elderly worldwide. It is characterized by local inflammation, which can be targeted therapeutically using natural anti-inflammatory compounds such as curcumin. This scoping review explores the therapeutic effects and mechanisms of curcumin in OA management. A total of 50 relevant original studies published in English were selected from PubMed, Web of Science, and Scopus using specific search strings, regardless of study type. These studies demonstrated curcumin's anti-inflammatory, protective, and anti-apoptotic effects on chondrocytes. Curcumin has been shown to stimulate chondrocyte proliferation and collagen production while inhibiting matrix metalloproteinase activity. These mechanisms contribute to curcumin's ability to alleviate pain and improve joint function in OA patients. While the findings highlight curcumin's potential in OA management, further research is needed to enhance its bioavailability and determine optimal formulations, dosages, and administration routes.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"761-785"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142886547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"HLA-DRB1*01 predicts treatment outcome in juvenile idiopathic arthritis: A retrospective-prospective cohort study.","authors":"Adisa Čengić, Sniježana Hasanbegović, Izeta Hamza, Tarik Suljić, Velma Selmanović, Aida Đozo, Elma Fejzić, Lamija Zečević-Pašić, Nejra Džananović","doi":"10.17305/bb.2024.11043","DOIUrl":"10.17305/bb.2024.11043","url":null,"abstract":"<p><p>Juvenile idiopathic arthritis (JIA) is the most common chronic inflammatory autoimmune disease in childhood, significantly contributing to both short- and long-term disability. While certain human leukocyte antigen (HLA) class II alleles are known to be associated with specific subgroups of JIA, emerging evidence suggests a strong correlation between these alleles and treatment response. This study involved 143 JIA patients diagnosed according to International League of Associations for Rheumatology criteria. Each patient underwent HLA class II typing, including HLA-B27, as well as tests for rheumatoid factor (RF) and antinuclear antibodies (ANA). Comprehensive rheumatological assessments were conducted at diagnosis, with follow-ups at three and six months post-onset. After six months of methotrexate (MTX) treatment, patients were categorized as responders or non-responders. Responders achieved clinically inactive disease based on the American College of Rheumatology Provisional Criteria for Defining Clinical Inactive Disease and Clinical Remission. Non-responders, who did not reach clinically inactive disease after six months of treatment, required the addition of another non-biological disease-modifying antirheumatic drug (DMARD) or a biological DMARD. Our analysis revealed that the HLA-DRB1*01 allele is a significant prognostic marker for therapeutic response, predicting therapeutic resistance (P=0.01). The most prevalent HLA-DRB1 alleles in the treatment-resistant group were HLA-DRB1*08:11 (11.3%), HLA-DRB1*01:01 (8.5%), HLA-DRB1*01:13, HLA-DRB1*04:11 (7%), HLA-DRB1*08:13, and HLA-DRB1*08:15 (4.2%). These findings highlight the critical role of HLA class II alleles in pediatric rheumatology, particularly in relation to treatment response and disease prognosis. In the era of personalized medicine, understanding the genetic contributions to treatment response and outcomes in JIA patients is essential. A key limitation of this study was the lack of comparison of treatment responses across different JIA subtypes. Future studies should prioritize evaluating MTX efficacy within specific JIA subgroups to enable a more tailored understanding of its effectiveness.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"883-893"},"PeriodicalIF":0.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11959396/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142559615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mesenchymal stem cell-derived exosomes as cell-free therapeutics for sensorineural hearing loss.","authors":"Maria Perde-Schrepler, Ioana Brie, Alma Maniu","doi":"10.17305/bb.2025.11517","DOIUrl":"https://doi.org/10.17305/bb.2025.11517","url":null,"abstract":"<p><p>Sensorineural hearing loss (SNHL) can result from various factors, including ototoxic drugs (such as aminoglycosides and chemotherapeutic agents), prolonged exposure to intense sound, and autoimmune or genetic disorders. In adult mammals, the loss of sensory cells in the cochlea is irreversible due to their lack of regenerative capacity. Current treatment options include hearing aids for mild to moderate hearing loss, which rely on residual hearing, and cochlear implants for severe cases, which provide limited auditory recovery while leading to the loss of any remaining natural hearing. Stem cell therapies, particularly those involving mesenchymal stem cells (MSCs), are being increasingly explored in regenerative medicine. MSCs are multipotent cells capable of differentiating into mesodermal lineage cells and possess immunomodulatory and regenerative properties, making them potential candidates for SNHL treatment. However, their administration carries risks, including unwanted differentiation, immune system activation, and potential tumorigenic effects. Exosomes, extracellular vesicles in the nanometer size range, are secreted by most eukaryotic cells. These vesicles, which have a double lipid membrane and contain genomic and proteomic material, play a crucial role in intercellular communication. Exosomes derived from MSCs exhibit similar biological functions to their parent cells but with significantly lower risks, as they do not trigger immune responses or pose oncological concerns. This paper aims to review current knowledge on the use of MSCs and MSC-derived exosomes for inner ear sensory cell regeneration and explore their potential for clinical applications.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143607194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of maternal diabetes during pregnancy on ultrasound-measured fetal epicardial fat thickness: A meta-analysis.","authors":"Apizi Anwaier, Jian Li, Wei Liu, Liangjie Dong, Yunfei Ding, Zhaoxia Yu","doi":"10.17305/bb.2025.11909","DOIUrl":"https://doi.org/10.17305/bb.2025.11909","url":null,"abstract":"<p><p>Maternal diabetes during pregnancy, including gestational diabetes mellitus (GDM) and pregestational diabetes mellitus (PDM), has been linked to alterations in fetal development. This meta-analysis aimed to investigate the impact of maternal diabetes on fetal epicardial fat thickness (fEFT), measured via ultrasound-a potential marker of cardiometabolic risk. A systematic search of PubMed, Embase, and Web of Science was conducted to identify observational studies assessing fEFT in pregnant women with and without diabetes. A random-effects model was used to calculate the mean difference (MD) in fEFT between groups. Heterogeneity was evaluated using the I² statistic, and sensitivity, subgroup, and meta-regression analyses were performed to explore sources of variability. Data from 10 studies, comprising 12 datasets and 1303 participants, were pooled. Women with diabetes during pregnancy had significantly higher fEFT compared to those without diabetes (MD: 0.37 mm, 95% confidence interval [CI]: 0.26 to 0.49, P < 0.001), with moderate heterogeneity (I² = 69%). Sensitivity analyses, conducted by excluding one dataset at a time, confirmed the robustness of the findings (all P values < 0.05). Meta-regression revealed a positive correlation between gestational age (GA) at fEFT measurement and fEFT differences (coefficient = 0.040, P = 0.005), accounting for 83.2% of the heterogeneity. Subgroup analyses demonstrated consistent results across study designs, maternal diabetes types, and demographic factors but highlighted greater fEFT differences in studies where GA at fEFT measurement was >26 weeks. In conclusion, maternal diabetes during pregnancy is associated with increased fEFT, particularly in later gestation.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143574883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trends in noninvasive ocular nanoparticle drug delivery: A bibliometric analysis (2004-2023).","authors":"Dan Li, Qing Ye, Chao Li","doi":"10.17305/bb.2025.11772","DOIUrl":"https://doi.org/10.17305/bb.2025.11772","url":null,"abstract":"<p><p>This study presents a bibliometric analysis of research on noninvasive nanoparticle drug delivery systems for the transocular surface from 2004 to 2023. Relevant publications were retrieved from the Web of Science Core Collection. VOSviewer and CiteSpace were used to map contributions by countries/regions, authors, institutions, journals, keywords, keyword clusters, and timeline trends. A total of 695 articles were analyzed, showing a steady year-by-year increase in publications. China, the United States, and Spain were the leading contributors. Among authors, Alvarez-Lorenzo, Carmen was the most prolific, while Chanhan, Anuj's work received the most citations among the top 10 prolific researchers. The International Journal of Pharmaceutics published the highest number of articles in this field, whereas the Journal of Controlled Release was the most frequently cited among the top 10 most productive journals. The University of Santiago de Compostela and the University of Florida were among the most active institutions in this research area. Keyword analysis identified recent key themes, such as controlled release, cell interaction, dry eye, mechanisms, gene expression, and ocular drug delivery. The growing interest in transocular surface nanoparticle drugs is driven by their advantages, including increased solubility, improved stability, reduced administration frequency, sustained therapeutic concentrations, enhanced corneal penetration, and prolonged ocular surface residence time.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143607244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel deep learning framework for automatic scoring of PD-L1 expression in non-small cell lung cancer.","authors":"Saidul Kabir, Muhammad E H Chowdhury, Rusab Sarmun, Semir Vranić, Rafif Mahmood Al Saady, Inga Rose, Zoran Gatalica","doi":"10.17305/bb.2025.12056","DOIUrl":"https://doi.org/10.17305/bb.2025.12056","url":null,"abstract":"<p><p>A critical predictive marker for anti-PD-1/PD-L1 therapy is programmed death-ligand 1 (PD-L1) expression, assessed by immunohistochemistry (IHC). This paper explores a novel automated framework using deep learning to accurately evaluate PD-L1 expression from whole slide images (WSIs) of non-small cell lung cancer (NSCLC), aiming to improve the precision and consistency of Tumor Proportion Score (TPS) evaluation, which is essential for determining patient eligibility for immunotherapy. Automating TPS evaluation can enhance accuracy and consistency while reducing pathologists' workload. The proposed automated framework encompasses three stages: identifying tumor patches, segmenting tumor areas, and detecting cell nuclei within these areas, followed by estimating the TPS based on the ratio of positively stained to total viable tumor cells. This study utilized a Reference Medicine (Phoenix, Arizona) dataset containing 66 NSCLC tissue samples, adopting a hybrid human-machine approach for annotating extensive WSIs. Patches of size 1000x1000 pixels were generated to train classification models such as EfficientNet, Inception, and Vision Transformer models. Additionally, segmentation performance was evaluated across various UNet and DeepLabV3 architectures, and the pre-trained StarDist model was employed for nuclei detection, replacing traditional watershed techniques. PD-L1 expression was categorized into three levels based on TPS: negative expression (TPS < 1%), low expression (TPS 1-49%), and high expression (TPS ≥ 50%). The Vision Transformer-based model excelled in classification, achieving an F1-score of 97.54%, while the modified DeepLabV3+ model led in segmentation, attaining a Dice Similarity Coefficient of 83.47%. The TPS predicted by the framework closely correlated with the pathologist's TPS at 0.9635, and the framework's three-level classification F1-score was 93.89%. The proposed deep learning framework for automatically evaluating the TPS of PD-L1 expression in NSCLC demonstrated promising performance. This framework presents a potential tool that could produce clinically significant results more efficiently and cost-effectively.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143544860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}