Enhancing Therapy Adherence: Impact on Clinical Outcomes, Healthcare Costs, and Patient Quality of Life

Medicina, Journal Year: 2025, Volume and Issue: 61(1), P. 153 - 153

Published: Jan. 17, 2025

Adherence to therapy, defined as the extent which a patient follows prescribed therapeutic recommendations, is pivotal factor in effective management of chronic diseases such diabetes, hypertension, and cardiovascular conditions. This review highlights profound influence adherence on clinical outcomes, healthcare costs, quality life. Despite its critical importance, non-adherence remains pervasive challenge globally, contributing suboptimal treatment results, higher rates complications, increased hospitalizations, substantial expenditures. narrative examines multifaceted impact adherence, focusing role achieving efficacy, mitigating economic burdens, enhancing well-being. The findings reveal that poor exacerbates risk disease progression, costs. Conversely, improved promotes better control, fewer enhanced Interventions education, streamlined regimens, integration digital health tools have shown promise addressing barriers. Furthermore, professionals underscored fundamental, with their continuous support, communication, efforts build trust being essential fostering adherence. In conclusion, significantly affects Addressing barriers requires comprehensive personalized approach, considering individual needs circumstances. Future research should prioritize long-term evaluation emerging technologies development tailored strategies improve across diverse populations. Strengthening not only crucial for but also sustainability efficiency systems.

Language: Английский

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Improving the response to lenvatinib in partial responders using a Constrained-Disorder-Principle-based second-generation artificial intelligence-therapeutic regimen: a proof-of-concept open-labeled clinical trial

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

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The Constrained Disorder Principle May Account for Consciousness

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

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Inter-organ correlations in inflammation regulation: a novel biological paradigm in a murine model

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

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The Constrained Disorder Principle: Beyond Biological Allostasis

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

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The Relationship Between Biological Noise and Its Application: Understanding System Failures and Suggesting a Method to Enhance Functionality Based on the Constrained Disorder Principle

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

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Using the Constrained Disorder Principle to Navigate Uncertainties in Biology and Medicine: Refining Fuzzy Algorithms

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

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The Constrained Disorder Principle Overcomes the Challenges of Methods for Assessing Uncertainty in Biological Systems

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 15(1), P. 10 - 10

Published: Dec. 28, 2024

Different disciplines are developing various methods for determining and dealing with uncertainties in complex systems. The constrained disorder principle (CDP) accounts the randomness, variability, uncertainty that characterize biological systems essential their proper function. Per CDP, intrinsic unpredictability is mandatory dynamicity of under continuously changing internal external perturbations. present paper describes some parameters challenges associated randomness presents quantifying them. Modeling necessitates accounting underlying health disease. CDP provides a scheme sets basis using This CDP-based second-generation artificial intelligence system incorporates variability to improve effectiveness medical interventions. It use digital pill comprises algorithm-based personalized treatment regimens regulated by closed-loop based on signatures variability. method an outcome-based manner.

Language: Английский

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