- Proteomic analysis of tear film in dogs and cats: emerging biomarkers of cognitive dysfunction and neurodegenerative disorders. [AUT. KORESP.] DAGMARA WINIARCZYK, [AUT.] MATEUSZ WINIARCZYK. Animals [online] 2026 vol. 16 nr 6 [art. nr] 930, s. 1-15, bibliogr. poz. 53, [przeglądany 1 kwietnia 2026]. Dostępny w: https://www.mdpi.com/2076-2615/16/6/930. DOI: 10.3390/ani16060930
Abstract Cognitive dysfunction and neurodegenerative disorders represent an increasing clinical challenge in aging dogs and cats, while objective and minimally invasive biomarkers for early detection and disease monitoring remain limited. Tear film is a biologically active fluid reflecting both local and systemic processes and offers a practical, non-invasive source of potential biomarkers in geriatric veterinary patients. Proteomic analyses of canine and feline tear film have revealed a complex protein composition, including molecules involved in inflammation, oxidative stress, immune regulation, and cellular homeostasis—processes implicated in neurodegeneration. However, growing evidence from human and veterinary research emphasizes the importance of CNS-specific and mechanistically informative biomarkers, such as markers of axonal injury, synaptic degeneration, and glial activation, which may provide a more precise framework for interpreting peripheral proteomic alterations. This review summarizes current knowledge …
- Effect of packaging method (under vacuum vs. air) on quality and shelf life of carp (Cyprinus caprio) fish balls stored at fridge for 14 days. [AUT. KORESP.] AGNIESZKA KALINIAK-DZIURA, MAREK KOWALCZYK, [AUT.] MONIKA ZIOMEK, PIOTR SKAŁECKI, PIOTR DOMARADZKI, EWA POLESZAK, JAROSŁAW SZPONAR, MARIUSZ FLOREK. Molecules [online] 2026 vol. 31 nr 4 [art. nr] 746, s. 1-25, bibliogr. poz. 122, [przeglądany 14 marca 2026]. Dostępny w: https://www.mdpi.com/1420-3049/31/4/746. DOI: 10.3390/molecules31040746
The study aimed to assess the influence of two packaging methods (under vacuum, VP vs. air, AP) on the quality of fish balls from carp (Cyprinus carpio) stored at +4 °C up to 14 days after preparation. The air-packed and vacuum-packed fish balls were analyzed for physicochemical parameters, microbiological status, and sensory characteristics. The packaging method and storage time interaction significantly (p < 0.05) affected the acid value (AV) and peroxide value (PV), as well as the thiobarbituric acid reactive substance index (TBARS), with lower values of these parameters observed in vacuum-packed samples at 7 d (AV, PV, TBARS), 9 d (TBARS), 12 d (PV) and 14 d (TBARS) of storage. Moreover, vacuum packaging helped maintain a beneficial oil absorption and pH, and partially slowed down the occurrence of undesirable …
- Cyber-physical systems in healthcare based on medical and social research reflected in AI-based digital twins of patients. [AUT. KORESP.] EMILIA MIKOŁAJEWSKA, [AUT.] URSZULA ROGALLA-ŁADNIAK, JOLANTA MASIAK, EWELINA PANAS, DARIUSZ MIKOŁAJEWSKI. Appl. Sci. [online] 2026 vol. 16 nr 1 [art. nr] 318, s. 1-23, bibliogr. poz. 85, [przeglądany 19 stycznia 2026]. Dostępny w: https://www.mdpi.com/2076-3417/16/1/318. DOI: 10.3390/app16010318
Abstract Cyber–physical systems (CPS) in healthcare represent a deep integration of computational intelligence, physical medical devices, and human-centric data, enabling continuous, adaptive, and personalized care. These systems combine real-time measurements, artificial intelligence (AI)-based analytics, and networked medical devices to monitor, predict, and optimize patient health outcomes. A key development in the field of CPS is the emergence of patient digital twins (DTs), virtual models of individual patients that simulate biological, behavioral, and social parameters. Using AI, DTs analyze complex medical and social data (genetics, lifestyle, environment, etc.) to support precise diagnosis and treatment planning. The implications of the bibliometric findings suggest that the field emerges from the conceptual phase, justifying the article’s emphasis on both the proposed architectures and their clinical validation. However, most research was conducted in computer science, …
- From local to global perspective in AI-based digital twins in healthcare. [AUT.] MACIEJ PIECHOWIAK, ALEKSANDER GOCH, EWELINA PANAS, JOLANTA MASIAK, [AUT. KORESP.] DARIUSZ MIKOŁAJEWSKI, [AUT.] IZABELA ROJEK, EMILIA MIKOŁAJEWSKA. Appl. Sci. [online] 2026 vol. 16 nr 1 [art. nr] 83, s. 1-25, bibliogr. poz. 114, [przeglądany 22 stycznia 2026]. Dostępny w: https://www.mdpi.com/2076-3417/16/1/83. DOI: 10.3390/app16010083
Abstract Digital twins (DTs) powered by artificial intelligence (AI) are becoming important transformational tools in healthcare, enabling real-time simulation and personalized decision support at the patient level. The aim of this review is to critically examine the evolution, current applications, and future potential of AI-based DTs in healthcare, with a particular focus on their role in enabling real-time simulation and personalized patient-level decision support. Specifically, the review aims to provide a comprehensive overview of how AI-based DTs are being developed and implemented in various clinical domains, identifying existing scientific and technical gaps and highlighting methodological, regulatory, and ethical issues. Taking a “local to global” perspective, the review aims to explore how individual patient-level models can be scaled and integrated to inform population health strategies, global data networks, and collaborative research …
- Ubiquitous computing and smart systems in the treatment of psychiatric and neurological disorders - a narrative review. [AUT.] DARIUSZ MIKOŁAJEWSKI, [AUT. KORESP.] EMILIA MIKOŁAJEWSKA, [AUT.] JOLANTA MASIAK, EWELINA PANAS, URSZULA ROGALLA-ŁADNIAK. Electronics [online] 2026 vol. 15 nr 8 [art. nr] 1627, s. 1-35, bibliogr. poz. 175, [przeglądany 5 maja 2026]. Dostępny w: https://www.mdpi.com/2079-9292/15/8/1627. DOI: 10.3390/electronics15081627
Abstract This bibliometric study examines the role of ubiquitous computing and intelligent systems in the treatment of mental and neurological disorders. Ubiquitous computing integrates computational intelligence into everyday environments, enabling seamless monitoring and support of patients. Intelligent systems, including wearable devices, environmental sensors, and mobile health applications, collect real-time data on behavior, physiology, and environmental factors. These systems support early detection of symptom changes, adherence to treatment, and crisis prediction through context-aware analysis. Artificial intelligence (AI) processes the collected data to generate personalized therapeutic feedback and notify healthcare providers when intervention is needed. In mental health care, intelligent environments can monitor mood, sleep, and social interaction patterns, providing valuable objective information about mental health status. In the case of neurological conditions such as Parkinson’s disease or epilepsy, intelligent systems facilitate …
