Interdisciplinary cancer research, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Language: Английский
Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14
Published: July 30, 2024
Introduction The main obstacle in treating cancer patients is drug resistance. Lenvatinib treatment poses challenges due to loss of response and the common dose-limiting adverse events (AEs). Constrained-disorder-principle (CDP)-based second-generation artificial intelligence (AI) systems introduce variability into regimens offer a potential strategy for enhancing efficacy. This proof-of-concept clinical trial aimed assess impact personalized algorithm-controlled therapeutic regimen on lenvatinib effectiveness tolerability. Methods A 14-week open-label, non-randomized was conducted with five receiving lenvatinib—an AI-assisted application tailored each patient, which physician approved. study assessed changes tumor through FDG-PET-CT markers quality life via EORTC QLQ-THY34 questionnaire, AEs, laboratory evaluations. app monitored adherence. Results At 14 weeks follow-up, disease control rate (including following outcomes: complete response, partial stable disease) 80%. scan-based RECIST v1.1 PERCIST criteria showed 40% an additional patients. One patient experienced progressing disease. Of participants thyroid cancer, 75% reduction thyroglobulin levels, 60% all decrease neutrophil-to-lymphocyte ratio during treatment. Improvement median social support score among utilizing system supports ancillary benefit intervention. No grade 4 AEs or functional deteriorations were recorded. Summary results this open-labeled suggest that CDP-based AI system-generated recommendations may improve manageable AEs. Prospective controlled studies are needed determine efficacy approach.
Language: Английский
Citations
7
Brain Sciences, Journal Year: 2024, Volume and Issue: 14(3), P. 209 - 209
Published: Feb. 23, 2024
There is still controversy surrounding the definition and mechanisms of consciousness. The constrained disorder principle (CDP) defines complex systems by their dynamic borders, limiting inherent disorder. In line with CDP, brain exhibits a bounded borders essential for proper function, efficient energy use, life support under continuous perturbations. brain’s variability contributes to its adaptability flexibility. Neuronal signal challenges association structures consciousness methods assessing present paper discusses some theories about consciousness, emphasizing failure explain variability. This describes how CDP accounts consciousness’s variability, complexity, entropy, uncertainty. Using newly developed second-generation artificial intelligence systems, we describe CDP-based platforms may improve disorders (DoC) accounting platform could be used response current interventions develop new therapeutic regimens patients DoC in future studies.
Language: Английский
Citations
6
Integrative Psychological and Behavioral Science, Journal Year: 2024, Volume and Issue: unknown
Published: June 20, 2024
Abstract The concept of free will has challenged physicists, biologists, philosophers, and other professionals for decades. constrained disorder principle (CDP) is a fundamental law that defines systems according to their inherent variability. It provides mechanisms adapting dynamic environments. This work examines the CDP's perspective concerning various theories. Per CDP, lack intentions, "freedom" select act built into design. embedded within response range determined by boundaries systems' built-in self-generating mechanism enables cope with perturbations. According neither dualism nor an unknown metaphysical apparatus dictates choices. Brain variability facilitates cognitive adaptation complex, unpredictable situations across Human behaviors decisions reflect underlying physical in brain organs dealing noises. Choices are not predetermined but ongoing processes prssu½res. Malfunctions disease states characterized inappropriate variability, reflecting inability respond adequately Incorporating CDP-based interventions can overcome malfunctions improve decision processes. second-generation artificial intelligence platforms being evaluated augment personal development, wellness, health.
Language: Английский
Citations
5
Kinesiology Review, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13
Published: Jan. 1, 2025
Background : Artificial-intelligence (AI) -powered chatbots have been increasingly utilized in interventions to promote physical activity and healthy lifestyle behaviors. This systematic review explored the effectiveness of these interventions. Methods A was conducted using comprehensive searches across PubMed, Web Science, EBSCOhost, Cochrane Library. Studies included were peer-reviewed intervention studies utilizing AI-powered designed activity, from 2010 onward published English. Results Of 11,347 articles identified, eight between 2018 2023 met inclusion criteria. Using randomized controlled trials or pre–post designs, involved sample sizes 15 116 participants. Interventions chatbots, voice-activated assistants, health-coaching applications remote settings. Primary outcomes focused on metrics like moderate vigorous step counts, with secondary covering quality life engagement. Intervention varied, some showing significant improvements while others had mixed results. Study assessment revealed generalizability, data collection, missing data-handling limitations. Conclusion show promise as practical tools for promoting activity. They offer personalized, engaging, scalable that can be integrated into broader public health strategies. Despite their promise, variability inconsistencies study underscore an urgent need future research standardize designs advance AI techniques more reliable outcomes.
Language: Английский
Citations
0
Journal of Medicine and Life, Journal Year: 2025, Volume and Issue: 18(1), P. 67 - 72
Published: Jan. 1, 2025
Interactions between immune system constituents are mediated through direct contact or the transfer of mediators. The study aimed to assess correlation components and out-of-body signals in a model liver inflammation. In first experiment, mice injected with Concanavalin A (ConA) were housed cage tube on top containing healthy livers harvested from ConA. second that contained splenocytes naïve donors treated vitro dexamethasone. Mice tested for serum aspartate aminotransferase (AST) alanine (ALT) levels. External whole spleens influenced immune-mediated inflammatory response mice. When ConA-injected cages tubes mice, ALT levels significantly reduced. elevated when kept part ConA had increased Similarly, dexamethasone-treated also showed data suggest correlations can be established using without
Language: Английский
Citations
0
Biology, Journal Year: 2025, Volume and Issue: 14(4), P. 339 - 339
Published: March 25, 2025
The constrained disorder principle (CDP) defines complex biological systems based on inherent variability. Allostasis refers to the physiological processes that help maintain stability in response changing environmental demands. Allostatic load describes cumulative wear and tear body resulting from prolonged exposure stress, it has been suggested mediate relationship between stress disease. This study presents concepts of CDP allostasis while discussing their similarities differences. We reviewed current literature potential benefits introducing controlled doses noise into interventions, which may enhance effectiveness therapies. paper highlights promising role variability provided by a CDP-based second-generation artificial intelligence system improving health outcomes.
Language: Английский
Citations
0
Biology, Journal Year: 2025, Volume and Issue: 14(4), P. 349 - 349
Published: March 27, 2025
The Constrained Disorder Principle (CDP) offers a new framework for understanding how biological systems use and manage noise to maintain optimal functionality. This review explores the relationship between at various scales, including genetic, cellular, organ levels, its implications system malfunctions. According CDP, all require an range of function appropriately, disease states can arise when these levels are disrupted. presents evidence supporting this principle across different contexts, such as genetic variability, cellular behavior, brain functions, human aging, evolution, drug administration. For accurate clinical assessments, it is essential distinguish technical variability intrinsic variability. When adequately constrained, serves fundamental mechanism adaptation functioning rather than simply source disruption. These findings have important developing more effective therapeutic strategies systems’ dynamics. CDP-based second-generation artificial intelligence help regulate address improved outcomes in conditions by incorporating controlled randomness. Understanding patterns has significant diagnosis, treatment monitoring, development medical conditions.
Language: Английский
Citations
0
Deleted Journal, Journal Year: 2025, Volume and Issue: unknown, P. 100040 - 100040
Published: April 1, 2025
Language: Английский
Citations
0
Biology, Journal Year: 2024, Volume and Issue: 13(10), P. 830 - 830
Published: Oct. 16, 2024
Uncertainty in biology refers to situations which information is imperfect or unknown. Variability, on the other hand, measured by frequency distribution of observed data. Biological variability adds uncertainty. The Constrained Disorder Principle (CDP) defines all systems universe their inherent variability. According CDP, exhibit a degree necessary for proper function, allowing them adapt changes environments. Per while differs from uncertainty, it can be viewed as regulated mechanism efficient functionality rather than This paper explores various aspects un-certainties biology. It focuses using CDP-based platforms refining fuzzy algorithms address some challenges associated with biological and medical uncertainties. Developing decision tree that considers natural help minimize method reveal previously unidentified classes, reduce number unknowns, improve accuracy modeling results, generate algorithm outputs are more biologically clinically relevant.
Language: Английский
Citations
3
Frontiers in Network Physiology, Journal Year: 2024, Volume and Issue: 4
Published: Dec. 18, 2024
The Constrained Disorder Principle (CDP) defines all systems in nature by their degree of inherent variability. Per the CDP, intrinsic variability is mandatory for proper function and dynamically changed based on pressures. CDP boundaries as a mechanism continuous adaptation to internal external perturbations, enabling survival under dynamic conditions. laws govern world's natural phenomena underlie systems. Nevertheless, physics do not entirely explain systems' functionality pressure, which essential determining correct operation complex nature. Variability noise are two broad sources unpredictability biology technology. This paper explores how provides examples from various areas where applies, including climate, genetic, biology, human behavioral variabilities. According system malfunction results inappropriate performance environment influences physiological variability, species interactions influence eco-evolutionary outcomes. behavior being driven randomness accounts malfunctions corrections. reviews variability-based algorithms CDP-based second-generation artificial intelligence potential improving prediction efficiency using
Language: Английский
Citations
3