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Factor VIII (HemoRel)

✓ Approved

Reliance Life Sciences Private Limited · F8 · Cell-based Therapies

What is Factor VIII?

Factor VIII is a cell-based therapies developed by Reliance Life Sciences Private Limited. It is approved for therapeutic indications via injectable (others) or intravenous (iv).

Drug Profile

Brand NamesHemoRel
CompanyReliance Life Sciences Private Limited
Drug ClassCell-based Therapies
Molecular TargetF8
RouteInjectable (Others), Intravenous (IV)
StatusApproved
Sources: ClinicalTrials.gov, Reliance Life Sciences Private Limited

Mechanism of Action

Molecular Targets

Factor VIII acts on 1 molecular target:

F8coagulation factor VIII (AHF, FVIII)
Want deeper analysis?Noah AI can explain complex mechanisms and compare to similar drugs.

Therapeutic Indications

Factor VIII is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Congenital, familial and genetic disordersFactor VIII deficiency✓ Approved

Related Research Articles

PubMedOral health & preventive dentistry2026-11-11

Validation of the Turkish Oral Health Impact Profile-17 for Assessing Oral Health-Related Quality of Life in Endodontic Patients.

Çetinkaya Oğuz Burhan OB, Gözübüyük Betül Banu BB, Yüksekkaya İrfan İ, Gündoğar Hasan H

To evaluate the reliability and construct validity of the Turkish version of the Oral Health Impact Profile-17 (OHIP-17-TR) in patients receiving endodontic treatment. This methodological, cross-sectional validation study included 229 adult patients undergoing or having recently completed endodontic treatment. Participants completed the OHIP-17-TR questionnaire. Internal consistency was assessed using Cronbach alpha and corrected item-total correlations. Construct validity was evaluated through exploratory factor analysis (EFA). Sampling adequacy was examined using the Kaiser-Meyer-Olkin (KMO) measure and Bartlett test of sphericity. Test-retest reliability was not assessed. The OHIP-17-TR showed high internal consistency, with a Cronbach alpha of 0.894. Corrected item-total correlations ranged from 0.345 to 0.675. The KMO value was 0.882, and the Bartlett test was significant (P 0.001), indicating suitability for factor analysis. Exploratory factor analysis identified a four-factor structure explaining 51.8% of the total variance, with all items demonstrating salient factor loadings. Subscale Cronbach alpha values ranged from 0.689 to 0.862. The OHIP-17-TR demonstrated good reliability and acceptable construct validity in this sample of endodontic patients. These findings support the use of OHIP-17-TR as a brief and practical patient-reported outcome measure for assessing oral health-related quality of life in endodontic research and clinical practice.

PMID 43012462
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PubMedBMC psychology2026-11-11

The German emotion beliefs questionnaire: factorial validity, measurement invariance, and descriptive reference values in a population-representative sample.

Lammers Jule Romea JR, Brähler Elmar E, Koechel Ansgar A, Conrad Rupert R et al.

Beliefs about emotions are considered a central mechanism of emotion regulation and mental health [1]. The 16-item Emotion Beliefs Questionnaire (EBQ; [2]) assesses beliefs about the usefulness and controllability of positive and negative emotions. While the original study supported a three-factor model, subsequent population-based studies favored the theoretically proposed four-factor structure. Although two German-language adaptations exist, neither has been validated in a population-representative sample, and descriptive reference values, evidence for measurement invariance across key sociodemographic groups, and systematic investigations of sociodemographic correlates of emotion beliefs are still lacking. The German version of the EBQ [3] was administered to a representative sample of the German general population (N = 2368; mean age = 50.3; SD = 17.13; range: 18-93; 44.7% men, 55.2% women). Confirmatory factor analyses (MLR) were conducted to compare competing three- and four-factor models. Measurement invariance across gender, age, and educational level was examined and descriptive reference values were calculated. Although the four-factor model fit better than the three-factor solution on all indices examined, the two controllability factors were very highly correlated (r = .90) and showed limited discriminant validity, indicating a largely valence-independent controllability dimension. Bifactor analyses supported interpretation of the total score (ω_H = 0.792, ECV = 0.603), and the EBQ further demonstrated good psychometric properties. Measurement invariance was supported up to the strict level across age and gender, and approximately at the scalar level across education. Educational attainment showed the most consistent associations with emotion beliefs across the total score and all subscales. Descriptive percentile reference values are provided by age group and gender. The German EBQ demonstrated satisfactory psychometric properties in a representative adult sample. Population-based descriptive reference values may facilitate research comparisons and preliminary clinical contextualization of individual scores. The findings support a largely valence-independent controllability dimension and highlight educational attainment as a consistent sociodemographic correlate of emotion beliefs.

PMID 43010112
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PubMedAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026-11-11

Negative Gauge Factor Piezoresistance in Soft Strain and Pressure Sensors: Mechanisms, Materials, and Emerging Applications.

Lee Su-Hyeong SH, Kim Minjae M, Chae Soosang S

Soft strain and pressure sensors underpin wearable electronics, soft robotics, and human-centered healthcare, yet most piezoresistive devices rely on a positive gauge factor (pGF), in which resistance increases as deformation disrupts conductive pathways and continuous power is needed to register an event. Negative-gauge-factor (nGF) materials, whose resistance decreases under deformation, offer a fundamentally different route. Importantly, a negative gauge factor does not by itself imply low power: continuously conducting nGF devices still require an applied bias and constant monitoring, whereas near-zero-standby-power, event-triggered operation is enabled specifically by switch-type nGF devices that are insulating at rest and turn on only under strain. This review classifies reported nGF systems into four mechanistic categories: intrinsic nGF from strain-induced band-structure modulation (Si, MoS2, PtSe2/PdSe2, SiC); composite nGF that transfers this response into polymer matrices and textiles; polymer-reorganization nGF in conducting polymers; and architecture-induced nGF engineered through tunneling barriers, contact closure, and compliant geometries. We discuss how these mechanisms enable low-power switch-type sensors, wearable health and motion monitoring, electronic skins, and smart textiles, and outline the challenges to establishing nGF piezoresistance as a design principle for energy-efficient soft electronics.

PMID 43010130
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PubMedPulmonary circulation2026-11-11

Cross-Cultural Adaptation and Psychometric Validation of the Traditional Chinese emPHasis-10 in Taiwanese Patients With Pulmonary Hypertension.

Shang Shu-Ting ST, Ho Wan-Jing WJ, Chan Cze-Ci CC, Chang Chieh-Yu CY et al.

The emPHasis-10 is a brief, disease-specific patient-reported outcome measure for assessing health-related quality of life (HRQoL) in pulmonary hypertension (PH), but a Taiwanese Traditional Chinese version has not been validated. This study translated and culturally adapted the emPHasis-10 into Taiwanese Traditional Chinese (emPHasis-10-T) and evaluated its psychometric properties in patients with PH. A total of 103 clinically stable outpatients with cardiologist-confirmed PH and World Health Organization functional class I-III were recruited from a tertiary medical center in northern Taiwan. Translation and cross-cultural adaptation followed the six-stage Beaton protocol, and psychometric evaluation included confirmatory factor analysis, internal consistency, test-retest reliability, and associations with external measures. The published three-factor higher-order model improved upon the original one-factor model (CFI = 0.965 vs. 0.930), although an improper parameter estimate was observed. A post hoc modified one-factor model demonstrated the most favorable fit (CFI = 0.988, TLI = 0.983, RMSEA = 0.051, SRMR = 0.030), with standardized loadings of 0.662-0.882. Internal consistency (Cronbach's α = 0.934) and composite reliability (0.934) were high, and average variance extracted was 0.588. Test-retest reliability yielded an ICC of 0.92 (95% CI: [0.45, 0.98]), although the wide confidence interval indicated limited precision. Convergent validity was supported by a strong correlation with the MLHFQ-PH (r = 0.914), and significant associations were also observed with the EQ-5D Index, HADS-Anxiety, HADS-Depression, and 6-min walk distance (all p < 0.001). The emPHasis-10-T shows promising psychometric properties for PH-specific HRQoL assessment in Taiwan, although its factor structure and temporal stability require further confirmation.

PMID 43011847
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PubMedPharmacoepidemiology and drug safety2026-11-11

Correction to "Risk of Heart Failure Hospitalization Associated With Hypoxia-Inducible Factor Prolyl Hydroxylase Inhibitors Versus Erythropoiesis-Stimulating Agents: A Nationwide Claims-Based Cohort Study".

PMID 43010831
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PubMedFrontiers in psychology2026-11-11

Development and validation of the AI cognitive offloading scale for Chinese college students.

Chang Hongying H

Against the backdrop of rapid advances in generative artificial intelligence (AI), college students increasingly delegate cognitive tasks to AI systems. This study developed and validated the AI Cognitive Offloading Scale (AI-COS) as an alternative, context-specific operationalization for Chinese college students, focusing on the cognitive functions delegated to AI during learning. An initial pool of 26 items was generated through literature review, theoretical analysis, and expert evaluation. Study 1 used data from 665 college students for item analysis and exploratory factor analysis. Study 2 used an independent sample of 1,123 college students for confirmatory factor analysis, reliability testing, criterion-related validity assessment, and measurement invariance testing across gender. Exploratory factor analysis yielded a 20-item scale with three dimensions: memory offloading, assistive offloading, and thinking offloading. The second-order three-factor model showed satisfactory fit (CFI = 0.951, TLI = 0.944, RMSEA = 0.047, SRMR = 0.036). The scale demonstrated strong internal consistency (Cronbach's α = 0.944), split-half reliability (0.932), and test-retest reliability (0.937). Convergent validity was satisfactory, and full scalar invariance across gender was reported. The total score and all three dimensions were positively associated with AI dependence and negatively associated with metacognitive monitoring. The total score and assistive offloading were negatively associated with need for cognition, whereas memory and thinking offloading were not significantly associated with need for cognition. The findings provide initial evidence for the reliability and validity of the AI-COS. The three dimensions represent distinguishable functions of cognitive delegation rather than a developmental sequence. The scale offers a context-specific instrument for research on AI-mediated cognition, learning regulation, and student development.

PMID 43011474
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