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Osmodex technology (Osmodex technology)

✓ Approved

RVL Pharmaceuticals · Small Molecule · Small Molecule

What is Osmodex technology?

Osmodex technology is a small molecule developed by RVL Pharmaceuticals. It is approved for therapeutic indications via oral (po).

Drug Profile

Brand NamesOsmodex technology
CompanyRVL Pharmaceuticals
Drug ClassSmall Molecule
RouteOral (PO)
StatusApproved
Sources: ClinicalTrials.gov, RVL Pharmaceuticals

Therapeutic Indications

Osmodex technology is developed for 1 unique indication across 1 therapeutic area.

Therapeutic AreaConditionPhase
Surgical and medical proceduresOral appliance application✓ Approved

Related Research Articles

PubMedFrontiers in psychology2026-10-22

Generative AI acceptance in study-travel contexts: an integrative model of affective and utilitarian pathways with mediation and grade-level moderation.

Li Yuan Y, Li Dexin D

Generative artificial intelligence is progressively reshaping study-travel-a curriculum-embedded educational practice. Yet, the psychological processes governing upper-primary and middle-school students' adoption of such technology in this context remain underexplored. Prior technology acceptance inquiries have predominantly centered on adult populations, leaving adolescent cognitive-developmental contingencies unaddressed. This investigation aimed to elucidate the differential roles of affective versus utilitarian drivers in shaping study-travel participants' anticipated intentions to adopt GenAI, and to determine whether these pathways differ by grade level. We constructed an integrative model grounded in the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), supplemented by Piaget's developmental framework. The model incorporated perceived enjoyment as a mediator and perceived risk as a direct negative antecedent, with grade level specified as a moderator of selected pathways. Survey data from 741 students in grades 4-9, drawn from twelve schools across six Chinese cities, were analyzed using structural equation modeling, multi-group comparisons, and cluster-robust standard errors to account for the nested sampling structure. Measurement invariance across grade groups was established prior to structural comparisons. Perceived enjoyment emerged as the largest estimated predictor of adoption intention in this sample (β = 0.43, p < 0.001), surpassing performance expectancy (β = 0.30, p < 0.001). Enjoyment fully mediated social influence effects and partially transmitted performance expectancy's influence. Perceived risk exerted a significant suppressive effect (β = -0.24, p < 0.001), with primary students exhibiting approximately twice the inhibitory magnitude of middle-school counterparts. Grade significantly moderated the performance expectancy-intention relationship, and provided borderline evidence for moderation of the risk-intention relationship, indicating systematic grade-related differences in how these pathways operate. These findings advance technology acceptance theory by introducing grade-related contingency and establishing an "affective-efficacy" dual-channel model. Practical implications for designing grade-differentiated educational AI products are discussed.

PMID 42903156
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PubMedJournal of medical Internet research2026-10-22

Catching the "Pink Flags": Using Smart Devices to Spot Early Signs of Postpartum Psychosis.

Cuffari Benedette B

Postpartum psychosis is an underrecognized condition that can have tragic consequences without intervention. In this News and Perspectives article, JMIR Correspondent Benedette Cuffari reports on how technology could support earlier identification and treatment.

PMID 42902806
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PubMedInternational journal of technology assessment in health care2026-10-22

What is the role of multidisciplinary methods to support environmental sustainability in health technology assessment?

Pegg Melissa M, Bishop Emma E, Bouttell Janet J, Watts Karina K

Healthcare contributes up to 8.5 percent of global carbon emissions, amongst other environmental impacts including intensive water consumption, plastics in our environment and pharmaceutical associated pollution. Healthcare supply chains are the largest contributor of environmental impact, accounting for up to 80 percent of total health sector emissions. Health technology assessment (HTA) can help support the mitigation of this impact by integrating sustainability considerations into policy making. Current literature indicates emission values are being included in some procurement decisions, and some HTA agencies are collecting environmental data or developing environmental domains in their strategies. However, there are no HTA agencies globally that officially include environmental outcomes as part of the decision-making framework. Adapting HTA to include environmental impacts will require integrating multidisciplinary approaches to make decisions that promote environmental sustainability. A scoping review was undertaken to identify such multidisciplinary methods. Multiple databases and gray literature sources were searched to identify relevant studies. The identified methods were appraised based on predefined criteria for HTA suitability, focusing on comprehensiveness, feasibility, and transparency. Key methods and frameworks identified include environmental life cycle assessment, cost-benefit analysis, and discrete choice experiments. Frameworks were ranked based on their potential suitability for implementing environmental impacts into HTA. Approaches such as One Health and circular economy provide possible foundations for environmental sustainability frameworks in HTA. Combining assessment methods to support trade-off considerations may strengthen decision making, although further research should examine stakeholder perspectives and implementation barriers.

PMID 42902837
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PubMedThe Gerontologist2026-10-22

Caring across borders: ageing and digital technology in transnational families.

Wen Yan Y, Zhang Nan N, Vlachantoni Athina A, Stanaway Fiona F

The rise of transnational families has generated new care arrangements in which migrant children use digital technologies to support ageing parents across borders. While the functional role of digital technologies in facilitating remote care is well documented, their relational and culturally embedded dimensions remain less understood. This review synthesises recent evidence on how digital technologies shape transnational caregiving. Eight electronic sources were systematically searched for studies on transnational families, ageing, digital technology (including artificial intelligence-AI), and care, published between 2020 and 2025. Eligible studies were extracted, coded, and analysed using thematic analysis. Fourteen studies met the inclusion criteria and were included in the analysis. Five themes were identified: 1) adoption and challenges for transnational ICT-mediated care; 2) ambivalence towards digital intimacy; 3) emotional labour and strategic concealment in transnational family care; 4) cultural norms and moral hierarchies of digital care; 5) structural inequalities in transnational care. Digital technologies both foster connection and amplify separation, serving as symbolic markers of family devotion and tools for managing information across generations. Rather than democratising care, technologies often reinforce existing global North-South, gendered, and class-based inequalities. Digital technologies both sustain and transform transnational care, yet digitally mediated care remains relational and structurally constrained. Stronger digital inclusion and coordinated cross-border care infrastructures are needed to support ageing transnational families, while avoiding the reproduction of existing social, gendered, and global inequalities, and enabling older adults to age with dignity, connection, and security.

PMID 42902798
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PubMedThe Gerontologist2026-10-22

Multilingual Dementia Training for Paid Caregivers: A RE-AIM Mixed-Methods Evaluation.

Yeh Jarmin J, Pond Brittney B, Beld Matthew M, Martinez Suzanna M SM et al.

This study evaluated the IHSS+ ADRD Training Project, a multilingual intervention for caregivers serving individuals living with Alzheimer's disease and related dementias (ADRD) through California's In-Home Supportive Services (IHSS) program, using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework. A quasi-experimental, mixed-methods evaluation was conducted from July 2019 to June 2024 across Alameda and Los Angeles counties. By applying the RE-AIM framework, Reach and Effectiveness dimensions were assessed through surveys completed by 488 caregivers in English (n = 297), Spanish (n = 102), and Chinese (n = 89) at pre-training, post-training, and 3-month follow-up. Caregivers were diverse among English speakers (38% Black/African American, 23% Hispanic/Latino, and 20% Asian), averaged 49.9 years old, and were predominantly women (88%). Quantitative measures assessed dementia knowledge, self-efficacy, distress, and depression. Qualitative interviews with stakeholders (n = 11) and open-ended caregiver survey responses explored Adoption, Implementation, and Maintenance dimensions. RE-AIM findings demonstrated: Reach across diverse caregiver populations in multilingual formats; Effectiveness with significant improvements in dementia knowledge and self-efficacy sustained at 3-month follow-up, plus 88-99% satisfaction; Adoption facilitated by union partnership; Implementation successfully transitioned to virtual delivery during COVID-19 despite technology barriers; and Maintenance supported by increased caregiver confidence, self-care awareness, and stress management skills, though sustainability required ongoing funding. Language-concordant training produced meaningful, sustained improvements across a diverse paid caregiver workforce, demonstrating its value as an equity strategy in home care workforce development. While virtual delivery was feasible and cost-effective, long-term success depends on securing dedicated funding and reliable technology infrastructure.

PMID 42902801
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PubMedBioconjugate chemistry2026-10-22

Ultrasound-Triggered Site-Specific Chemistry Redefines Precision Oncology.

Xie Xinxin X, Xu Shuyu S, Wang Haonan H, Tong Yuxuan Y et al.

Ultrasound-triggered site-specific molecular chemistry has emerged as a transformative strategy for cancer therapy, yet precise spatiotemporal control of their activity remains a critical bottleneck. Endogenous stimulus-responsive strategies are hampered by tumor heterogeneity, while exogenous physical triggers provide superior controllability. This article proposes that ultrasound-triggered site-specific chemistry, termed "acoustic programming", offers a transformative solution. By integrating focused ultrasound deep-tissue penetration with molecular-level chemical control, acoustically programmable bioconjugates achieve deep-tissue, on-demand therapeutic activation. We survey recent advances in sono-labile linkers, ultrasound-triggered charge reversal, and sono-chemically activated prodrugs, and critically evaluate emerging proof-of-concept and in vivo validated applications in ultrasound-caged PROTACs, immunomodulators, and antibody-drug conjugates. This paradigm shift from "ultrasound-responsive materials" to "ultrasound-responsive molecules" positions acoustic programming as a core platform technology for next-generation precision oncology.

PMID 42902953
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