Advances in biomarker sciences and technology最新文献

{"title":"Role of Akkermansia muciniphila in improving gut health for the prevention of type 2 diabetes","authors":"Saranyadevi Subburaj ,&nbsp;Selva Kumar Thirumalaisamy ,&nbsp;Jisha Jacob ,&nbsp;Princy Vijayababu","doi":"10.1016/j.abst.2026.01.002","DOIUrl":"10.1016/j.abst.2026.01.002","url":null,"abstract":"<div><div>Chronic inflammation, gut microbial dysbiosis, and metabolic dysregulation are closely interrelated and play a significant role in the pathogenesis of type 2 diabetes, a long-recognized global health problem. <em>Akkermansia muciniphila</em> has been identified as a predominant bacterial species that plays a crucial role in maintaining gut homeostasis. This mucin-degrading gram-negative bacterium stimulates mucus production and enhances the expression of tight junction proteins, thereby maintaining intestinal barrier integrity. Moreover, it helps to prevent metabolic endotoxemia and systemic inflammation, which are the key factors contributing to the progression of type 2 diabetes and insulin resistance. This process plays a crucial role in maintaining the integrity of the intestinal barrier. Research has indicated that a higher level of <em>A. muciniphila</em> is associated with improved metabolic health, while a lack of it is linked to insulin resistance and obesity. Potential treatments for type 2 diabetes include probiotic therapy, polyphenol-rich diets, and prebiotic supplements that increase <em>A. muciniphila</em> levels. This review emphasizes the potential of <em>A. muciniphila</em> as a novel microbiome-directed strategy for the treatment of metabolic diseases as well as its complex role in gut health. Targeted modulation of the gut microbiota may reduce the risk of type 2 diabetes by improving intestinal barrier function, lowering metabolic endotoxemia, and suppressing chronic inflammation.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 211-218"},"PeriodicalIF":0.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022882","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":"Amoxicillin and cotrimoxazole-driven dysbiosis disrupted blood cell levels, cytokine balance and induced oxido-nitrosative stress in young mice","authors":"Kiptoo K. Cosmas ,&nbsp;Silas Kiruki ,&nbsp;Olivia A. Njiri ,&nbsp;Grace K. Nyambati ,&nbsp;John Mokua Mose ,&nbsp;Omwenga Isaac ,&nbsp;Alfred Orina Isaac ,&nbsp;James Nyabuga Nyariki","doi":"10.1016/j.abst.2025.11.002","DOIUrl":"10.1016/j.abst.2025.11.002","url":null,"abstract":"<div><div>Amoxicillin and cotrimoxazole are among the most frequently prescribed antibiotics, yet their impact on gut microbiota and systemic physiology, particularly during early life, remains a critical concern. This study investigated the effects of these antibiotics on the gut microbiome and associated physiological and biochemical responses in young male Swiss mice (5 weeks old), serving as a model for infant exposure. Five experimental groups were employed: control, amoxicillin (9.62 mg/kg), cotrimoxazole (15 mg/kg), cotrimoxazole + amoxicillin, and cotrimoxazole + amoxicillin followed by probiotic administration. Parameters assessed included gut microbial composition, hematological indices, organ weights, liver and kidney function, cytokine profiles, oxidative stress markers, and histopathological alterations. Both antibiotics induced marked gut dysbiosis. Cotrimoxazole significantly increased leukocyte, neutrophil, lymphocyte, and monocyte counts, while amoxicillin caused thrombocytosis and cotrimoxazole induced thrombocytopenia; probiotic treatment normalized these effects. Amoxicillin reduced brain glutathione (GSH) levels, whereas cotrimoxazole decreased GSH in both liver and brain. Combined antibiotic exposure exacerbated GSH depletion and elevated nitric oxide (NO) and malondialdehyde (MDA) levels, effects mitigated by probiotics exposure. Co-exposure to cotrimoxazole and amoxicillin upregulated pro-inflammatory cytokines TNF-α and IFN-γ and increased serum markers of hepatic and renal injury (alanine-transaminases, alkaline phosphatases, Aspartate transaminases, creatinine, urea, uric acid). Histopathological analysis confirmed aggravated hepatic and renal damage under combined antibiotic exposure, which was markedly alleviated by probiotics. These findings demonstrate that amoxicillin and cotrimoxazole disrupt gut microbial balance, eliciting systemic oxidative, organ damage and inflammatory responses. Probiotic intervention confers significant protection, underscoring the need for cautious antibiotic use and microbiota-restorative strategies.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 1-18"},"PeriodicalIF":0.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571904","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":"Multi-omics integration and machine learning reveal biomarker networks and therapeutic targets in Alzheimer's disease","authors":"Shreya Satyanarayan Bhat ,&nbsp;Vidya Niranjan ,&nbsp;Trilok Chandran ,&nbsp;Spoorthi R. Kulkarni ,&nbsp;Samridhi Makkar ,&nbsp;Vishwam Dixit ,&nbsp;Cherishma K. Subhasa ,&nbsp;Adarsh Vishal","doi":"10.1016/j.abst.2025.12.004","DOIUrl":"10.1016/j.abst.2025.12.004","url":null,"abstract":"<div><div>Alzheimer's disease (AD) is a progressive neurodegenerative disorder with limited early diagnostic options and no curative therapy. This study presents a multi-region transcriptomic and systems biology framework for the identification of robust biomarker genes and pharmacologically actionable targets in AD. Differential gene expression profiles from the entorhinal cortex, hippocampus, and frontal cortex were analyzed using three supervised machine learning algorithms: LASSO regression, Random Forest, and SVM-RFE to prioritize predictive biomarkers. Consensus genes demonstrated region-specific differential expression and moderate diagnostic accuracy (AUC up to 0.70). Functional enrichment revealed their roles in synaptic transmission, translational regulation, lysosomal acidification, and extracellular matrix remodeling, hallmarks of AD pathology. Protein–protein interaction networks and hub gene analyses further underscore the role of translational regulators, such as EIF3C and FAU. Transcription factor mapping (e.g., MEF2C, ZBTB18), miRNA targeting (e.g., miR-107, miR-195–5p), and drug–gene interaction analysis identified GABBR2 and COL5A2 as translationally relevant targets linked to approved or investigational drugs. This integrative study proposes a reproducible pipeline combining machine learning, regulatory network modeling, and pharmacogenomic mining to inform biomarker-driven drug repurposing in Alzheimer's disease.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 81-101"},"PeriodicalIF":0.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840356","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":"FRF-HHO: Early ovarian cancer prediction using explainable fuzzy random forest optimized by Harris Hawks algorithm","authors":"K.M. Yeaser Arafat,&nbsp;Ahmed Hossain,&nbsp;Mushfika Ikfat,&nbsp;Md. Areful Amin,&nbsp;Kazi Tanvir,&nbsp;Dipta Gomes,&nbsp;Mahfujur Rahman","doi":"10.1016/j.abst.2026.01.003","DOIUrl":"10.1016/j.abst.2026.01.003","url":null,"abstract":"<div><div>Ovarian cancer remains one of the most lethal gynecological malignancies, largely due to delayed diagnosis and the absence of reliable early screening tools. This study proposes an interpretable machine learning framework that integrates Fuzzy Random Forest (FRF) with Harris Hawks Optimization (HHO) for early ovarian cancer prediction using routine clinical data. The analysis was conducted on a publicly available dataset comprising 349 patient records with 51 clinical and biochemical features. To mitigate overfitting and data leakage, Recursive Feature Elimination with Cross-Validation (RFECV), preprocessing, and SMOTE–Tomek balancing were applied exclusively within the training data. A total of 31 relevant biomarkers were selected for model development. The HHO-optimized FRF achieved an accuracy of 94.12%, precision of 91.43%, recall of 96.07%, and an F1-score of 93.69%, outperforming several baseline ensemble and gradient boosting models evaluated under identical experimental conditions. Model interpretability was enhanced through SHAP and LIME analyses, which consistently identified AFP, HE4, CA125, and Age as influential predictors, aligning with established clinical knowledge. The high recall indicates strong sensitivity to cancer cases, an essential requirement for diagnostic support. Despite encouraging performance, the study is limited by its moderate sample size and a retrospective design. Consequently, the findings should be interpreted as preliminary. Future work will focus on validation using larger, multi-center cohorts and prospective studies to assess generalizability and clinical scalability.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 219-235"},"PeriodicalIF":0.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022885","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":"In silico analysis of Coenzyme Q10 interaction with the heme-hemoglobin complex: Implications for oxidative stress and inflammation in severe malaria","authors":"David B. Ouko ,&nbsp;Fredrick M. Musila ,&nbsp;Peris W. Amwayi ,&nbsp;Victoria K. Mwaeni ,&nbsp;Dickson B. Kinyanyi ,&nbsp;Grace W. Gitau ,&nbsp;Alfred Orina Isaac ,&nbsp;James Nyabuga Nyariki","doi":"10.1016/j.abst.2026.01.001","DOIUrl":"10.1016/j.abst.2026.01.001","url":null,"abstract":"<div><h3>Background</h3><div><em>Plasmodium falciparum</em>, the primary causative agent of severe malaria, catabolizes hemoglobin to obtain nutrients, resulting in the accumulation of toxic free heme. To mitigate this toxicity, the parasite converts heme into inert hemozoin. Chloroquine inhibits this detoxification process, leading to the buildup of free heme and exacerbating oxidative stress. Recent studies suggest that Coenzyme Q10 (CoQ10) may counteract malaria-induced oxidative stress and inflammation. However, its molecular interactions with key biomolecules remain unclear. This study aims to evaluate the potential molecular interactions of Coenzyme Q10 with heme and hemoglobin using an in silico approach.</div></div><div><h3>Material and methods</h3><div>The study involved molecular docking of Coenzyme Q10 on heme-hemoglobin, ADMET studies of Coenzyme Q10 and molecular dynamic simulations of Coenzyme Q10-heme-hemoglobin complex.</div></div><div><h3>Results</h3><div>Coenzyme Q10 has favorable ADMET properties and positively interacts with the heme group and some amino acids of the hemoglobin, forming a stable complex, though its ADMET profile presents challenges such as poor solubility. These findings demonstrate that Coenzyme Q10 can reduce the degradation of hemoglobin via direct interaction, subsequently regulating heme build-up.</div></div><div><h3>Conclusion</h3><div>This study identifies potential molecular interactions between Coenzyme Q10 and heme–hemoglobin complexes based on computational analyses, providing molecular-level insights which may infer functional or therapeutic outcomes.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 199-207"},"PeriodicalIF":0.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022881","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":"Exploring trimethylamine N-oxide (TMAO) as a metabolic link between obstructive sleep apnea and cardiovascular risk: A cardiometabolic perspective","authors":"Mohit ,&nbsp;Sheetal Verma ,&nbsp;Jyoti Bajpai","doi":"10.1016/j.abst.2026.01.004","DOIUrl":"10.1016/j.abst.2026.01.004","url":null,"abstract":"<div><div>Obstructive Sleep Apnea (OSA) is a condition that obstructs the upper airway during sleep, inducing intermittent hypoxia that affects the host metabolism, and is associated with gut microbiome dysbiosis. The bidirectional link between host immunometabolism and the cardiovascular system connects with the gut microbiome and has emerged as a research interest in recent years. The gut microbiota is recognized as a potential contributor of OSA related comorbidities, including cardiovascular risk. Recent studies have demonstrated that alterations in gut microbial composition are associated with OSA and intermittent hypoxia. Remarkably, the gut-derived metabolite trimethylamine N-oxide (TMAO) has emerged as a putative metabolic link in OSA-associated cardiometabolic risk. In case of OSA, the dysregulated gut metabolic axis may elevate TMAO, which may contribute to endothelial dysfunction and cardiovascular risk. Interestingly, experimental studies suggest that hepatic flavin-containing monooxygenase 3 (FMO3), which catalyzes TMAO production, may be influenced by hypoxia-responsive metabolic pathways, raising the possibility that OSA could affect not only the gut microbiome but also host enzymatic regulation. This perspective will enhance and promote gut microbial-based sleep research, particularly targeted TMAO for the potential risk assessment and as a cardiometabolic marker in OSA. We propose that TMAO may hold potential as a cardiometabolic biomarker in OSA, warranting further validation.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 208-210"},"PeriodicalIF":0.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022970","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":"Protective effects of nutritional and polyphenolic supplementation in polycystic ovarian syndromes","authors":"Shaifali Joshi,&nbsp;Kavita Munjal,&nbsp;Gautam Saxena,&nbsp;Havagiray R. Chitme","doi":"10.1016/j.abst.2025.12.005","DOIUrl":"10.1016/j.abst.2025.12.005","url":null,"abstract":"<div><div>Hormonal abnormalities, insulin resistance, and chronic inflammation are the hallmarks of Polycystic Ovary Syndrome (PCOS), a prevalent endocrine condition affecting women of reproductive age. Oxidative stress is a key factor in the pathophysiology of PCOS, spurring interest in antioxidant-based treatment approaches. Many reproductive processes, including ovulation, endometrial decidualization, menstruation, oocyte fertilization, and the growth and implantation of an embryo, depend on oxidative stress (OS). Physiological quantities of reactive oxygen and nitrogen species, which function as redox signaling molecules to start and stop each phase, govern the menstrual cycle. Given that an excess of OS in comparison to antioxidants can result in gynecological illnesses, infertility, and reproductive problems, it is thought that a pathological rise in OS plays a role in the loss in female fertility. Antioxidants are therefore necessary for the best possible reproductive function in females. They aid in the hormonal control of vascular processes, support endometrial maturation by activating antioxidant signaling pathways such as Nrf2 and NF-κB, and contribute to oocyte metabolism. Free radicals can be directly neutralized by antioxidants, they can act as cofactors for enzymes essential to cell formation and differentiation, or they can improve the activity of already-existing antioxidant enzymes. Fertility may be increased by taking antioxidant supplements to address deficits. The functions of certain vitamins and flavonoids with antioxidant qualities in the processes of female reproduction are examined in this review.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 118-133"},"PeriodicalIF":0.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145883896","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":"Evaluation of solvent-dependent yield and toxicity of selected spices using brine shrimp and zebrafish bioassays: Implications for aquaculture applications","authors":"Nabonita Roy ,&nbsp;Rajdwip Sarkar ,&nbsp;Most. Arfin Naher Eva,&nbsp;Shaikh Shaon Ahmmed,&nbsp;Uttam Adhikary,&nbsp;Alokesh Kumar Ghosh","doi":"10.1016/j.abst.2026.01.009","DOIUrl":"10.1016/j.abst.2026.01.009","url":null,"abstract":"<div><div>Spices are widely used culinary ingredients with notable antioxidant and antibacterial properties. In aquaculture, they function as immunostimulants and natural therapies, enhancing fish health and disease resilience. Nevertheless, certain spices may demonstrate toxicity and pose health risks as medicinal agents in the aquaculture activity. This study evaluated the extraction yield and toxicity of selected spice extracts using brine shrimp lethality test (BSLT) and Zebrafish assay in relation to five different solvents including hexane, ethyl acetate, ethanol, methanol and water. Water had the highest extraction yield, followed by ethyl acetate, methanol, hexane and ethanol. The water extract of bell pepper (<em>Capsicum annuum</em>) had the highest extraction yield (64.12%), while the ethanolic extract of cumin (<em>Cuminum cyminum</em>) had the lowest (2.38%). Probit regression analysis (<em>p</em> &lt; 0.05) indicated that all water extracts were non-toxic (LC₅₀ &gt; 1000 μg/mL) in BSLT, while methanol and ethanol extracts were generally more toxic. Hexane extracts displayed lower toxicity, and ethyl acetate extracts exhibited moderate toxicity for most spices. Cumin, turmeric, mace and ajwan have been shown to be more toxic, especially when used as methanol and ethanol solvents in both models whereas, black caraway and almond exhibited lower toxicity, making it more suitable for more investigation as immunostimulant. Zebrafish were more sensitive than brine shrimp, as reflected by lower LC₅₀. Overall, the findings of this study emphasize the selection of suitable solvents and spice to maximize extraction yield while minimizing toxicity for potential aquaculture applications.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 292-304"},"PeriodicalIF":0.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173304","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":"Mechanistic insights on effective ratio of Linoelaidic and Docosapentaenoic acid by modulating adipogenic and inflammatory biomarkers in 3T3-L1 preadipocytes","authors":"Pipika Das ,&nbsp;Riya Kar ,&nbsp;Titli Panchali ,&nbsp;Ananya Dutta ,&nbsp;Manisha Phoujdar ,&nbsp;Kuntal Ghosh ,&nbsp;Shrabani Pradhan","doi":"10.1016/j.abst.2025.11.005","DOIUrl":"10.1016/j.abst.2025.11.005","url":null,"abstract":"<div><div>Obesity is a condition of energy balance in which nutrient intake consistently exceeds energy expenditure, increasing the risk of various potentially fatal disorders. Docosapentaenoic acid (DPA) is an omega-3 fatty acid that has been reported to provide a number of health benefits. However, the effects of DPA on adipocyte differentiation are poorly understood. Linoelaidic acid (LA) is an isomer of linoleic acid that remains underexplored. The main aim of this investigation is to explore the role of linoelaidic acid and DPA ratio on lipid accumulation and AMPK pathway activation in 3T3-L1 cells. Differentiated adipocyte were treated with different ratio of fatty acids and performed cell viability assay, Oil Red O staining, gene expression and immunoblotting analysis. The fatty acids did not cause cytotoxicity in preadipocytes. Notably, DPA reduced lipid accumulation, suggesting its anti-adipogenic potential. Moreover, LA/DPA ratio also markedly increased the mRNA expression of genes associated with lipolysis, including peroxisome proliferator-activated receptor-α, carnitine palmitoyl transferase-1, adiponectin, and lipoprotein lipase, while inhibiting those involved in lipogenesis, such as leptin, sterol regulatory element binding protein-1c and fatty acid synthase. In addition, LA/DPA mixture strongly suppressed inflammation induced by TNF-α, IL-6, IL-1β. On mechanistic levels, LA/DPA in ratio of 1:1 and 4:1 regulates the AMPK signaling by reducing phosphorylation levels of PPAR-γ, C/EBP-α, acetyl-CoA carboxylase, and stearoyl-CoA desaturase. These findings demonstrated that LA and DPA in combination can prevent 3T3-L1 preadipocytes from differentiating, which implies it may be used therapeutically to prevent obesity.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 102-117"},"PeriodicalIF":0.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145840275","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":"An in-depth exploration of CNN-based deep learning models in cervical carcinoma analysis","authors":"P. Karthika ,&nbsp;M. Premkumar","doi":"10.1016/j.abst.2025.11.007","DOIUrl":"10.1016/j.abst.2025.11.007","url":null,"abstract":"<div><div>Cervical cancer has an extreme effect on women's health worldwide, recognized as the 4th most significant contributor to cancer fatalities among female. World Health Organization (WHO) states that there was on 660,000 new reports and 350,000 death occurred. Detecting the disease early can lead to a significant decrease in the death rate up to 80 %. Currently, doctors diagnose cervical cancer by examining cervical biopsies through Pap smears and colposcopy images. However this techniques is time-intensive, taking up to several hours per case and susceptible to misdiagnosis and diagnostic error between 10 and 30 %.Deep learning has illustrated significant potential for addressing biomedical challenges such as analysis of medical images, disease forecasting, and image partitioning. AI-powered diagnostic methods utilizing deep learning models–such as CNNs, DenseNets, and U-Nets—have achieved classification accuracies exceeding 95 % on datasets like Herlev and SIPaKMeD. This paper surveys diverse deep learning strategies that were implemented for the identification and analysis of cervical carcinoma, emphasizing their performance metrics, datasets and clinical applicability.</div></div>","PeriodicalId":72080,"journal":{"name":"Advances in biomarker sciences and technology","volume":"8 ","pages":"Pages 19-33"},"PeriodicalIF":0.0,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145571865","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}