Generex · therapeutic agent
RapidMist technology is a therapeutic agent developed by Generex. It is approved for therapeutic indications via inhaled or oral (po) or sublingual (sl)/oral transmucosal.
| Company | Generex |
| Route | Inhaled, Oral (PO), Sublingual (SL)/Oral Transmucosal |
| Status | Approved |
RapidMist technology is developed for 1 unique indication across 1 therapeutic area.
| Therapeutic Area | Condition | Phase |
|---|---|---|
| Surgical and medical procedures | Oral appliance application | ✓ Approved |
Behzadifar Masoud M
Sitsky Sarina S, Crowther Rian H RH, Kelly Vincent G VG, Wilkins Luke L et al.
Virtual technology offers a promising tool for encouraging engagement in exercise, as it can provide the user with enhanced visual stimuli and accessible metrics; however, the specific features within that technology that contribute to motivation and participation require further investigation. This study examined how different visual displays and the presence of a second rider influenced motivation to exercise using virtual technology. Twenty-four young adults completed a 3-km cycling course on the same virtual track under three counterbalanced conditions including (a) a metrics-only ride, where a screen in front of the rider displayed only standard performance variables (e.g., power, cadence), (b) a solo-virtual ride, which was identical to the previous condition, but with the addition of the participant being depicted on the screen as an avatar amongst virtual scenery, and (c) a paired-virtual ride, that contained the same elements as the previous two conditions, but with the addition of a second rider represented on the screen as an avatar. The quantitative results, which included performance-related variables (cadence, power, speed, and heart rate), measures of intrinsic motivation, and ratings of perceived exertion, revealed significantly higher values for the paired-virtual condition compared to both the metrics-only and the solo-virtual conditions. Differences between the metrics-only and the solo-virtual conditions were isolated to interest-enjoyment and effort-importance. Brief interviews with participants indicated that the paired-virtual condition produced heightened levels of enjoyment and competitive drive which motivated participants to exert more effort. The solo-virtual condition was reported to be relaxing, but it was also reported as the least engaging. The metrics-only condition provoked negative emotions due to the absence of distractions and a heightened focus on internal cues. The results highlight the psychological mechanisms that influence motivation and engagement when using virtual exercise technology.
Lin Qin Q, Fu Mengxue M, Chen Pei P, Zhao Jiaorong J et al.
Generative AI has reshaped healthcare, yet multimorbid older adults face digital divide barriers limiting its safe application. Existing qualitative evidence on their AI-assisted complex health decision-making remains scarce, lacking integrated theoretical interpretation. Guided by an integrated framework combining the Technology Acceptance Model, Senior Technology Acceptance Model and Burden of Treatment Theory, this study explored older adults' perceived usefulness and ease of generative AI for health decisions, mobilizable personal-social resources, and how technology perceptions shape dynamic usage behaviors and decision quality. From September to December 2025, 16 multimorbid seniors were recruited via purposive maximum variation sampling from an urban community health center in eastern China. Face-to-face semi-structured interviews were conducted, with reflexive thematic analysis following COREQ guidelines. Based on interviews with 16 participants, four themes were identified: (1) Perceived usefulness, which was mainly reflected in four dimensions: initial situational triggers prompting AI consultation, convenient access to information, integrated support for multimorbidity management, and enhanced decision-making confidence. (2) Perceived ease of use: Participants' perceptions of the ease of use of generative AI showed significant individual differences and context dependence. (3) Resource mobilization: Successful use of generative AI rarely depended on independent individual effort but required the mobilization of diverse personal resources and social support. (4) Behavioral intention and actual use: The generative AI usage behavior of older adults with multimorbidity exhibited dynamic evolutionary characteristics; its trajectory was not linear acceptance and continuous use, but a complex process involving attempts, interruptions, resumption, or permanent abandonment. This study reveals that AI use among older adults with multimorbidity is not merely a technology adoption behavior, but an adaptive strategic choice made under the pressure of managing multiple chronic conditions. Only by fully considering the special needs of patients with multimorbidity in technology design and service provision can the safe and effective application of generative AI in elderly chronic disease management be truly realized. Not applicable. This study did not involve clinical trials.
Krumsvik Rune Johan RJ, Slettvoll Vegard V
Large-group lectures (150 students and upwards) remain a central component of healthcare professions education despite longstanding concerns about passivity, limited interaction, and difficulties in providing formative feedback at scale. These concerns have acquired renewed relevance as educators face digitally connected student cohorts, ubiquitous smartphones, and growing concerns about digital distraction. Student response systems (SRS), initially introduced through dedicated "clickers" and now commonly accessed through students' own digital devices, offer one approach to transforming the large lecture from a predominantly transmission-oriented format into an interactive learning environment. Meta-analytic evidence indicates positive effects of SRS on cognitive and non-cognitive learning outcomes, while research across psychology, nursing, medicine, dentistry, and other higher education settings suggests that their educational value depends less on the technology itself than on the pedagogical processes it enables. In this Perspective, we argue for a shift from viewing SRS primarily as engagement technology towards understanding it as pedagogical infrastructure for retrieval, formative assessment, peer discussion, feedback, self-monitoring, and metacognitive calibration in large lectures. Drawing on nearly two decades of research and educational experience with response technology, we propose an evolution from SRS 1.0, centred on response and participation, through SRS 2.0, centred on formative feedback and dialogue, towards SRS 3.0, where artificial intelligence may enable adaptive questioning, misconception detection, personalised feedback, and instructor decision support. This development creates new opportunities for healthcare professions education, but also requires renewed attention to pedagogy, digital competence, privacy, cognitive offloading, and the role of the educator.
Brinkhuis Francine F, Mantel-Teeuwisse Aukje K AK, Leufkens Hubert G M HGM, Narsai Kirti K et al.
The European Union (EU) has long pursued harmonization in medicines regulation and, more recently, in health technology assessment (HTA). The European Medicines Agency (EMA) and the EU HTA Regulation (EU HTAR) represent key milestones in these respective trajectories. This study compares the harmonization trajectories of EU medicines regulation and EU HTA to identify lessons relevant for EU HTAR implementation. We used a multi-method qualitative approach combining a narrative literature review with online focus groups involving eighteen regulatory and policy experts. The review explored the historical development of harmonization in both policy areas. The focus-group analysis examined perspectives on collaboration, harmonization dynamics, and implementation. Both policy areas moved from national arrangements and voluntary cooperation toward more formal EU-level structures. Medicines regulation developed earlier and resulted in more centralized procedures and binding EU-wide authorization decisions. EU HTA retains greater national responsibility for value judgments, pricing, and reimbursement. The two areas also differ in the scope and standardization of assessments. In both trajectories, harmonization was shaped by trust, willingness to collaborate, capacity differences, and legal and procedural contexts. Participants emphasized the importance of stepwise implementation, work sharing, and sustained dialogue, while anticipating variation in national JCA uptake and impact. Experience from EU medicines regulation highlights the importance of building trust and adapting collaboration to differences in national maturity and priorities. Harmonization should develop gradually through learning and refinement across diverse legal and procedural contexts. These lessons may support EU HTAR implementation and further development.
Ghaderi Zefreh Masoud M, Dominguez Viera Marcos E ME, Moghayer Saeed S, Smeets Kristkova Zuzana Z et al.
With the projected increase in the global population and food demand on a planet in climate crisis, the debate about the role of livestock continues to intensify. Animals farmed for food are both victims and contributors of climate change (CC), with animals suffering from heat stress due to CC but also being major contributors to greenhouse gas emissions (GHG). Livestock studies have demonstrated that novel breeding technologies could partly mitigate these negative effects, yet their wider implications for food security and the socio-economy are not well investigated yet. In this proof-of-concept study, we incorporate (1) the effects of heat stress on livestock's productivity and feed efficiency and (2) the use of genomic selection as a recently established novel breeding technology, into a global macroeconomic projection model (GMPM) to evaluate their broader impacts on food security. We find that both effects can drastically alter the model projections. In particular, the results suggest that novel breeding technologies can substantially mitigate the adverse effects of CC on production, food availability, land use, and GHG emissions, whilst also causing implications for the labour market. The study demonstrates the importance of integrating advances in livestock science and technology into GMPMs for better projections that inform livestock management, policy and consumer decision-making, requiring closer collaboration between livestock scientists and systems modellers. The online version contains supplementary material available at https://doi.org/10.1007/s43621-026-04101-z.
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