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Nevin Manimala Statistics

Correlation between real sieving coefficient determined using novel lab-scale module and pore structure of hemodiafiltration membranes

J Artif Organs. 2026 Jul 30;29(3):49. doi: 10.1007/s10047-026-01577-4.

ABSTRACT

The novel lab-scale hollow fiber membrane module was fabricated to determine the apparent sieving coefficient ([Formula: see text]) of commercial hemodiafiltration membranes, MFX-SW eco (polyethersulfone, Sample A) and NVF-P (polysulfone, Sample B), using the aqueous solution of dextran with a broader molecular weight distribution. All the molecular weight cut-off curves plotted as [Formula: see text] versus filtration flow rate (QF) exhibited smooth profiles without intersecting each other, showing distinct variations depending on QF across a wide range of molecular weights. Field emission scanning electron microscopy (FE-SEM) observations revealed that the equivalent pore diameters of samples A and B were nearly identical at 23.0 ± 15.5 nm and 23.3 ± 15.5 nm, respectively. Although the surface porosity of sample A (14.5 ± 3.9%) was higher than that of sample B (10.2 ± 3.2%), the difference was not statistically significant. These numerical data were in excellent agreement with the qualitative morphological findings obtained from the FE-SEM images. Furthermore, it is suggested that the subtle structural differences between the two membranes are also reflected in the relationship between the real sieving coefficients ([Formula: see text]) calculated by using [Formula: see text] and the equivalent pore diameters. Since the lab-scale modules are fabricated relatively easily by hand, this methodology is extremely valuable to rigorously define membrane performance.

PMID:42533176 | DOI:10.1007/s10047-026-01577-4

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Nevin Manimala Statistics

One PPI may not fit all-prevalence of CYP2C19 phenotypes in patients with Barrett’s esophagus

Surg Endosc. 2026 Jul 30. doi: 10.1007/s00464-026-13215-4. Online ahead of print.

ABSTRACT

BACKGROUND: Barrett’s esophagus (BE) is associated with longstanding gastroesophageal reflux disease and can progress to esophageal adenocarcinoma. BE is primarily managed with proton pump inhibitors (PPIs), which are metabolized by cytochrome P450 2C19 (CYP2C19). CYP2C19 polymorphisms affect PPI plasma levels, which are categorized as poor (PM), intermediate (IM), normal (NM), rapid (RM), and ultra-rapid (UM) metabolizers. This study assessed the prevalence of CYP2C19 phenotypes in patients with BE and concomitant hiatal hernias (HH).

METHODS: This was a single-institution retrospective review of medically-managed adult BE patients with CYP2C19 genotyping. Patients were grouped by HH size (small, medium, or large). CYP2C19 phenotypes were stratified by genotype as: PM/IM, NM, and RM/UM based on anticipated need for PPI dose adjustment. Descriptive statistics and a multivariable analysis to determine factors associated with RM/UM were used.

RESULTS: A total of 97 patients (58% female, median age 61, mean BMI 27.5) were included, and CYP2C19 phenotypes were PM/IM (32%, 95% CI 0.27-0.41), NM (37%, 95% CI 0.27-0.47), and RM/UM (31%, 95% CI 0.22-0.40). HHs were present in 59 patients. Notably, 17% of RM/UM patients had concomitant severe erosive esophagitis, LA grade C/D. On sub-analysis, there was a trend toward higher prevalence of RM/UMs(53%) compared with PM/IM/NM (33%, p = 0.06) in patients who did not have a HH. The presence of HHs tended to be more frequent in the PM/IM/NMs (67%) compared with RM/UMs (47%, p = 0.06). On multivariable analysis, this trend persisted with HHs being less present with RM/UMs (OR 0.43, 95% CI 0.18-1.03).

CONCLUSION: There is a trend toward high prevalence of the RM/UM phenotype in patients with BE. Patients with RM/UM phenotype could benefit from PPI dose optimization. Given the poor survival associated with esophageal adenocarcinoma and its association with BE, assessing CYP2C19 phenotype to optimize PPI dosage and effectiveness could have significant public health implications, and additional prospective studies are needed.

PMID:42533164 | DOI:10.1007/s00464-026-13215-4

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Nevin Manimala Statistics

How I use statistics and my law degree to fight human-rights abuses

Nature. 2026 Jul 30. doi: 10.1038/d41586-026-02079-2. Online ahead of print.

NO ABSTRACT

PMID:42533145 | DOI:10.1038/d41586-026-02079-2

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Nevin Manimala Statistics

Bifurcation and chaos design of radial basis neural network for predictive modeling of fractional double-strain HIV co-infection model with intercellular delays and stochastic effects

Theory Biosci. 2026 Jul 30;145(3):41. doi: 10.1007/s12064-026-00468-9.

ABSTRACT

The aim of the present study is to obtain the numerical solutions of the fractional double-strain HIV co-infection model with intercellular delays and stochastic effects (FDS-HIV-IDS) by employing a novel radial basis neural network with Levenberg-Marquardt backpropagation (RBNN-LMB). The nonlinear model accounts for multiple interacting populations, and logistic growth is introduced to describe the interaction between wild-type and drug-resistant HIV strains. The analysis of the model considers threshold criteria for both local and global stability of infection-free, dominant, and coexistence equilibria. The nonlinear model incorporates multiple interacting groups, and its numerical solutions are approximated through the stochastic RBNN-LMB framework. Consequently, double-strain dynamics transition from stability to instability (periodic oscillations to chaos) more frequently and at earlier stages. This also leads to a higher total viral load compared to single-strain scenarios, highlighting the greater risk of treatment failure when resistance emerges. A dataset is generated using the numerical predictor-corrector method, where the data are split into 75% for training and 10% for validation and 15% for testing, in order to minimize the mean square error (MSE). The solver architecture consists of fifteen hidden neurons, a single input structure, and a radial basis activation function to approximate the system dynamics effectively. The accuracy of the method is demonstrated through the overlapping of predicted and reference outputs, while the very small absolute error (AE) values confirm its precision. Furthermore, statistical evaluations using different operators support the reliability and robustness of the proposed approach.

PMID:42533137 | DOI:10.1007/s12064-026-00468-9

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Nevin Manimala Statistics

Single-cell spatial mapping of human kidney development implicates the microenvironment in guiding cell fate decisions

Nat Genet. 2026 Jul 30. doi: 10.1038/s41588-026-02665-0. Online ahead of print.

ABSTRACT

Evolution has used cell-cell communication as a strategy to coordinate organ development, enabling the reproducible generation of intricate structures. Classically, these interactions have been studied one at a time in model organisms, limiting our understanding of how cellular interplay coordinates human development. We investigated human kidney development using single-cell RNA sequencing and spatial transcriptomics, analyzing over 700,000 cells. By mapping gene expression and differentiation trajectories in space, we define the spatial organization of kidney development. Our analysis revealed unrecognized plasticity, showing that cell fate established during early patterning can be later revised. This plasticity provides a potential mechanism for how cell fate is robustly established in complex patterned tissues. Additionally, through a genome-wide, spatially aware cell-cell interaction analysis, we link localized ligand signals to cell fate decisions. We also define biologically meaningful cellular neighborhoods based on aggregated extracellular cues, providing a blueprint to understand the coordination of human development at scale.

PMID:42533102 | DOI:10.1038/s41588-026-02665-0

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Nevin Manimala Statistics

SpatialFormer: universal spatial representation learning from subcellular molecular to multicellular landscapes

Nat Comput Sci. 2026 Jul 30. doi: 10.1038/s43588-026-01016-7. Online ahead of print.

ABSTRACT

Understanding gene spatial expression and the organization of multicellular systems is vital for disease diagnosis and studying biological processes. However, existing models often struggle to integrate gene expression data with cellular spatial information effectively. Here we introduce SpatialFormer, a hybrid framework combining convolutional networks and transformers to learn single-cell multimodal and multiscale information in the niche context, including expression data and subcellular gene spatial distribution. Pretrained on 700 million cell pairs from 17 million spatially resolved single cells across 71 Xenium slides, SpatialFormer merges gene spatial expression profiles with cell niche information via the pairwise training strategy. Our findings demonstrate that SpatialFormer distills biological signals across various tasks, including single-cell batch correction, cell-type annotation and co-localization detection. The perturbation analysis identified gene pairs essential for the immune cell-cell communication in pulmonary fibrosis, epithelial-myoepithelial co-localization and tumor transition signals in breast cancer. These advancements enhance our understanding of cellular dynamics and offer additional pathways for applications in biomedical research.

PMID:42533054 | DOI:10.1038/s43588-026-01016-7

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Nevin Manimala Statistics

Perceptions of nutritional care and the role of dietitians in oncology: A cross-sectional study of healthcare professionals and patients

Nutrition. 2026 Jun 30;151:113348. doi: 10.1016/j.nut.2026.113348. Online ahead of print.

ABSTRACT

OBJECTIVES: Nutritional care is essential for improving clinical outcomes in people with cancer, and communicating with healthcare professionals about clinical nutrition is fundamental for effective nutritional management. The aim of this study was to evaluate the perceptions of healthcare professionals and patients regarding nutritional care in oncology, including the role of nutritionists, professional practices, and patient experiences.

METHODS: This cross-sectional study included healthcare professionals and patients from public and private oncology institutions. Data were collected using semistructured questionnaires. Professionals were questioned regarding criteria related to identifying nutritional risk, conducting assessments, and recommending nutritional therapy. Patients reported their perceptions of nutritional care, prior nutritional counseling, adherence to recommendations, and willingness to pay for consultations. Quantitative variables were expressed as frequencies, percentages, means ± standard deviations, medians, and ranges. A P-value ≤ 0.05 was considered statistically significant.

RESULTS: The study included healthcare professionals (n = 130) and patients (n = 360). Most professionals acknowledged the need and relevance of nutritional care during cancer treatment, but reported assessing the nutritional status of patients based primarily on body weight. Although 81.4% of physicians could identify patients at nutritional risk, 31.4% relied primarily on weight loss and body mass index as the main criteria, suggesting potential limitations in the methods used. Patients in both systems recognized the importance of nutritional care, although 7.3% did not follow recommendations of dietitians, citing a lack of dietary novelty.

CONCLUSIONS: Professionals and patients recognize the importance of nutritional care and the role of dietitians in oncology; however, gaps remain in translating this recognition into practice.

PMID:42531663 | DOI:10.1016/j.nut.2026.113348

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Nevin Manimala Statistics

Multiclass diagnostic performance and error patterns of a multimodal large language model in oral histopathology: A WHO-aligned study

J Oral Biosci. 2026 Jul 30;68(5):100802. doi: 10.1016/j.job.2026.100802. Online ahead of print.

ABSTRACT

OBJECTIVES: To evaluate the diagnostic performance, feature-level agreement, and error patterns of a multimodal large language model (MLLM) across the oral dysplasia-malignancy continuum.

METHODS: In this retrospective diagnostic accuracy study, 300 histopathology images representing normal oral mucosa (n = 100), oral potentially malignant disorders (OPMD) (n = 100), and oral squamous cell carcinoma (OSCC) (n = 100) were evaluated using a standardized two-stage prompting framework consisting of morphological feature extraction followed by structured diagnostic classification. Reference diagnoses were established by three experienced oral pathologists. Interobserver agreement among pathologists was assessed using Fleiss’ κ statistics. Primary outcomes included overall accuracy, macro-F1 score, and balanced accuracy. Secondary outcomes included feature-level agreement, confidence-accuracy alignment, and clinically significant error patterns.

RESULTS: Interobserver agreement among the reference pathologists was substantial for the primary three-class diagnosis (Fleiss’ κ = 0.81). Overall accuracy was 0.667 (95% confidence interval [CI]: 0.620-0.727), with a macro-F1 score of 0.662 and balanced accuracy of 0.755. Performance varied substantially across diagnostic categories, with high sensitivity for normal mucosa (0.990; 95% CI: 0.968-1.000). Reduced sensitivities were observed for OPMD (0.430; 95% CI: 0.340-0.531) and OSCC (0.580; 95% CI: 0.495-0.688), indicating reduced discriminative ability relative to normal mucosa. Feature-level agreement was generally low, with the weakest agreement for architectural dysplasia features (κ = -0.116 to -0.068), slight agreement for invasion-related features (κ = 0.111-0.120), and the highest agreement was for nuclear hyperchromasia (κ = 0.281). Most misclassifications (84.8%) occurred at the dysplasia-malignancy interface. Proxy calibration analysis demonstrated systematic overconfidence in the histopathological predictions.

CONCLUSIONS: The MLLM demonstrated moderate performance in oral histopathology, with reliable recognition of normal tissue and reduced discriminative ability for OPMD and OSCC relative to normal mucosa, particularly at the dysplasia-malignancy interface. These findings support a potential assistive role under expert supervision while highlighting important limitations in clinically critical diagnostic settings.

PMID:42531661 | DOI:10.1016/j.job.2026.100802

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Nevin Manimala Statistics

Evaluating metal complex enantiomers: Lessons from a photobiological study

J Inorg Biochem. 2026 Jul 24;284:113417. doi: 10.1016/j.jinorgbio.2026.113417. Online ahead of print.

ABSTRACT

Chiral coordination complexes continue to attract interest as potential therapeutic agents, yet their stereochemical properties are rarely examined with the rigor now standard in organic drug discovery. Here we investigate whether the Δ and Λ enantiomers of the highly potent Ru(II) oligothienyl photosensitizer ML19G01 exhibit intrinsic differences in photobiological activity. Five independently synthesized batches of rac-ML19G01 were separated by direct chiral chromatography on a functionalized cyclofructan-6 (CF6-RN) stationary phase using both LC and sub/supercritical fluid chromatography. Enantiomeric excess was established by analytical chiral HPLC, absolute configuration was assigned by vibrational circular dichroism (VCD)/DFT comparison, and removal of trifluoroacetic acid (TFA), triethylamine (TEA), and counterion impurities was verified by 1H and 19F NMR. Enantiomeric integrity under illumination was confirmed to exclude photoracemization. Across 24 independent photobiological assays performed over several years in SK-MEL-28 melanoma cells, Δ- and Λ-ML19G01 displayed statistically indistinguishable dark and light EC50 values and phototherapeutic indices. Although individual experiments occasionally suggested enhanced potency of one enantiomer, these differences were not reproducible and were not supported by ANOVA/Tukey analysis. Small deviations observed for the racemate arose from non-stereochemical factors, including polymorphism, differential purification histories, and statistical averaging. These results demonstrate that ML19G01 does not exhibit meaningful enantiospecific photobiological behavior and provide practical recommendations for the preparation, characterization, and biological evaluation of chiral coordination complexes.

PMID:42531660 | DOI:10.1016/j.jinorgbio.2026.113417

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Nevin Manimala Statistics

Need and utilization of rehabilitation services in children with cerebral palsy at a referral hospital in Peru: a descriptive study

Rev Peru Med Exp Salud Publica. 2026 Jun 30;43(2):244-250. doi: 10.17843/rpmesp.2026.432.15834.

ABSTRACT

With the objective of describing the characteristics and comparing the need with the previous utilization of rehabilitation services in children with cerebral palsy at a referral hospital in Peru, a descriptive study was conducted through the review of medical records of 86 patients treated during 2024. It was found that 41.8% did not attend any educational institution and 44.2% did not have a disability certificate; among those who had one, the mean time to obtain it was 4.9 years. Less than half had a pelvic radiograph, despite hip dislocation being a frequent comorbidity. Although the majority required rehabilitation therapies, their coverage was limited, especially in occupational therapy and speech/swallowing therapy. Likewise, more than half of those who required botulinum toxin had not received it. These findings demonstrate significant discrepancies between the need and previous utilization of rehabilitation services in this population.

PMID:42531588 | DOI:10.17843/rpmesp.2026.432.15834