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Integra Artificial Skin

✓ Approved

Integra LifeSciences · therapeutic agent

What is Integra Artificial Skin?

Integra Artificial Skin is a therapeutic agent developed by Integra LifeSciences. It is approved for therapeutic indications via others.

Drug Profile

CompanyIntegra LifeSciences
RouteOthers
StatusApproved

Therapeutic Indications

Integra Artificial Skin is developed for 3 unique indications across 3 therapeutic areas.

Therapeutic AreaConditionPhase
General disorders and administration site conditionsImpaired healing✓ Approved
Injury, poisoning and procedural complicationsThermal burn✓ Approved
Surgical and medical proceduresAdjuvant therapy✓ Approved

Related Research Articles

PubMedIntegrative zoology2026-10-16

Seismic Signaling Associated With Breeding-Season Spatial Behavior in the Subterranean Plateau Zokor.

Dong Kechi K, Dong Longming L, Cai Xincheng X, Dong Rui R et al.

The plateau zokor (Eospalax baileyi) is a solitary subterranean rodent endemic to the Tibetan Plateau, but breeding-season spatial behavior and the possible role of seismic signaling remain poorly understood. Here, we integrated radio-tracking, field seismic recordings, artificial seismic disturbance based on the temporal structure of breeding-season recordings, reproductive assessment, and histological analyses to examine spatial behavior, seismic-recording patterns, and reproductive outcomes. Male home ranges were larger during the breeding season than the non-breeding period, although seasonal samples comprised different individuals, and seismic-signal parameters showed descriptive variation among male- and female-associated recordings and between recording periods. Pregnancy prevalence was 30% (3/10) in the interference plot and 80% (8/10) in the control plot; because each experimental condition was represented by one plot, this contrast does not establish a general artificial seismic disturbance effect. Histological sections revealed corpuscle-like structures in the nasal pad and limb skin morphologically compatible with putative Meissner-like corpuscles, but their receptor identity and sensory function remain to be tested. Collectively, these observations are consistent with the hypothesis that seismic signaling may contribute to mating-associated spatial coordination, while highlighting the need for replicated behavioral, sensory, and controlled disturbance experiments.

PubMedNutrients2026-10-16

The Gut-Skin Axis in Pediatric Atopic Dermatitis: Nutritional Modulation, Microbiome Interactions, and Emerging Precision Approaches.

Miulescu Raluca-Gabriela RG, Costescu Mihnea M, Marin Ruxandra-Cristina RC, Mușetescu Alina A et al.

Pediatric atopic dermatitis (AD) is a barrier-driven inflammatory skin disease with systemic immune and microbial correlates. The gut-skin axis offers a biologically plausible framework through which early-life nutrition, gut microbial metabolism, intestinal barrier function, and immune maturation may influence disease risk and expression, but much of the supporting evidence remains associative. This narrative review asks which nutritional strategies are supported by clinical evidence in children with AD, which remain investigational, and how far the field is from precision nutrition. PubMed/MEDLINE, Scopus, and Web of Science were searched up to 31 July 2026; guidelines, systematic reviews, randomized trials, birth cohorts, and mechanistic studies with pediatric relevance were prioritized and appraised narratively. Breastfeeding when possible, dietary diversity during complementary feeding, avoidance of unnecessary elimination diets, correction of documented nutritional deficiencies, and management of confirmed food allergy are supported by current guidance. Probiotics and synbiotics lower SCORAD in meta-analyses, but the pooled effect is small, heterogeneous, and below the minimal clinically important difference, so they are best described as an optional adjunct rather than a recommended treatment; Mediterranean-style or high-fiber dietary patterns are backed mainly by observational data. Microbiome profiling, metabolomics, multi-omics endotyping, and artificial intelligence remain research tools without validated predictive value for dietary responses. Nutrition is an adjunct to, not a substitute for, established topical and systemic therapy in pediatric AD. Precision nutrition is a promising research direction rather than an established component of routine care, and its clinical value will depend on standardized biomarkers and well-designed longitudinal and interventional studies.

PubMedJournal of Nepal Health Research Council2026-10-16

Post-Rasuwa Flash Flood: The Potential Use of Artificial Intelligence in Infectious Disease Surveillance.

Pun Sher Bahadur SB, Acharya Krishna Prasad KP

Nepal frequently experiences natural disasters, including floods. On 26 August 2026, the Rasuwa flash floods struck Nepal, resulting in hundreds of deaths, and leaving thousands of people missing. Infectious diseases represent an important public health concern in the aftermath of such disasters. Evidence on the use of artificial intelligence (AI) for post flash flood infectious disease risk assessment remains limited. Here, we discuss the potential integration of AI as a complementary decision-support tool to strengthen infectious disease risk assessment and early warning following Rasuwa flash flood disaster in Nepal. Keywords: Artificial intelligence; Infectious diseases; Nepal; Rasuwa flash flood.

PubMedJournal of advanced nursing2026-10-16

Learning Adaptation in Artificial Intelligence-Enabled Nursing Education: A Network Analysis of Artificial Intelligence Literacy, Self-Regulated Learning and Academic Resilience.

Gong Xueqing X, Xiao Zemei Z, Chen Dan D, Li Danyan D et al.

To examine the interconnections among artificial intelligence literacy, self-regulated learning strategies, and academic resilience in undergraduate nursing students, and to conduct an exploratory comparison of network characteristics between students with and without clinical practice experience. A cross-sectional survey. Using convenience sampling, 1784 undergraduate nursing students were recruited from five universities in Hunan Province, China, between March and May 2026. Participants completed a demographic questionnaire and three validated scales. Network analysis estimated node strength, bridge strength, and predictability. Bootstrap procedures assessed network accuracy and stability, and the Network Comparison Test was used to conduct an exploratory comparison between students with and without clinical practice experience. The 10-node network contained 35 non-zero edges and had a mean predictability of 62.6%. Artificial intelligence evaluation showed the highest node strength, followed jointly by monitoring learning strategies and cognitive maturity. Evaluating and revising learning strategies showed the highest bridge strength, followed by cognitive maturity. In the exploratory subgroup analysis, the overall network structure differed between students with and without clinical practice experience, whereas global strength did not. Artificial intelligence evaluation, monitoring learning strategies and cognitive maturity showed relatively high node strength, whereas evaluating and revising learning strategies and cognitive maturity showed relatively high cross-domain bridge strength. Findings may inform nursing curricula integrating artificial intelligence literacy, learning regulation, and academic adaptation. This study addressed fragmented understanding of these capacities. It identified dimensions with relatively high node strength and bridge strength, providing exploratory evidence for future nursing education research. This study was reported in accordance with the STROBE statement. This study did not involve patients, service users, caregivers, or members of the public.

PubMedNutrients2026-10-16

Effects of European Bilberry Extract on Skin Aging Associated with Consumption of a High Temperature Roasted Diet in Rats.

Cheng Ruijie R, Zhao Nanpeng N, Shen Lihui L, Sun Yunhong Y et al.

Background/Objectives: Skin aging is accompanied by increased protein glycation in the skin, suggesting a potential link between dietary advanced glycation end products (AGEs) and skin aging. European bilberry extract (EBE), rich in anthocyanins, has shown potential in reducing AGEs; however, its protective effects against AGE-induced skin aging and the underlying mechanisms remain unclear. We aimed to investigate the association between roasted high-AGE diet exposure and skin aging, and to evaluate the protective effects of EBE and its potential mechanisms. Methods: A long-term roasted high-AGE diet exposure model was established in rats using a roasted high-AGE diet. Rats received EBE (100 mg/kg/day) or vehicle by oral gavage for 16 months. AGE levels were quantified by UHPLC-MS/MS. Skin aging phenotypes were assessed by histomorphometry and senescence-related biomarkers. Lipidomics analysis was performed to evaluate alterations in skin lipid profiles and the effects of EBE. Results: In rats, high-AGE feeding increased circulating and skin-deposited AGEs, reduced epidermal and stratum corneum thickness, and elevated senescence markers. Lipidomics revealed significant lipid remodeling, including decreased unsaturated fatty acids and glycerolipids; these lipid alterations were consistent with changes in lipid pathways related to barrier integrity, energy storage, and inflammatory signaling. EBE supplementation reduced systemic and cutaneous AGE accumulation, improved skin structure, attenuated senescence, and partially restored lipid homeostasis, including lipids associated with barrier function, energy storage, and inflammation. Conclusions: A roasted high-AGE diet is associated with and may accelerate skin aging, accompanied by lipid metabolism disruption and activation of inflammation-related pathways. EBE alleviates roasted high-AGE diet-induced skin aging and barrier-related molecule disruption, along with restoring lipid homeostasis and suppressing pro-inflammatory responses.

PubMedClinical and experimental emergency medicine2026-10-16

Artificial intelligence in sepsis care and research: aligning clinical questions with model selection and human oversight.

Lee Sukyo S, Jung Sumin S, Ahn Sejoong S

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