The Co-Piloting Model for Using Artificial Intelligence Systems in Medicine: Implementing the Constrained-Disorder-Principle-Based Second-Generation System DOI Creative Commons
Yaron Ilan

Bioengineering, Год журнала: 2024, Номер 11(11), С. 1111 - 1111

Опубликована: Ноя. 3, 2024

The development of artificial intelligence (AI) and machine learning (ML)-based systems in medicine is growing, these are being used for disease diagnosis, drug development, treatment personalization. Some designed to perform activities that demand human cognitive function. However, use routine care by patients caregivers lags behind expectations. This paper reviews several challenges healthcare face the obstacles integrating digital into care. focuses on with physicians. It describes second-generation AI move closer biology reduce complexity, augmenting but not replacing physicians improve patient outcomes. constrained disorder principle (CDP) defines complex biological their degree regulated variability. CDP-based platform, which basis Digital Pill humanizing moving via using inherent variability improving system augments physicians, assisting them decision-making patients' responses adherence providers. restores efficacy chronic drugs improves while generating data-driven therapeutic regimens. While can substitute many medical activities, it unlikely replace Human doctors will continue serving capabilities augmented AI. described co-piloting model better reflects pathways provides assistance

Язык: Английский

Harnessing Variability Signatures and Biological Noise May Enhance Immunotherapies’ Efficacy and Act as Novel Biomarkers for Diagnosing and Monitoring Immune-Associated Disorders DOI Creative Commons

Tal Sigawi,

A Israeli, Yaron Ilan

и другие.

ImmunoTargets and Therapy, Год журнала: 2024, Номер Volume 13, С. 525 - 539

Опубликована: Окт. 1, 2024

Lack of response to immunotherapies poses a significant challenge in treating immune-mediated disorders and cancers. While the mechanisms associated with poor responsiveness are not well defined change between among subjects, current methods for overcoming loss insufficient. The Constrained Disorder Principle (CDP) explains biological systems based on their inherent variability, bounded by dynamic boundaries that internal external perturbations. Inter intra-subject variability characterize immune system, making it difficult provide single therapeutic regimen all patients even same over time. dynamicity is also personalizing immunotherapies. CDP-based second-generation artificial intelligence system an outcome-based platform incorporates personalized signatures into may improving treatments. offer method identifying new biomarkers early diagnosis, monitoring immune-related disorders, evaluating

Язык: Английский

Процитировано

4
Inter-organ correlations in inflammation regulation: a novel biological paradigm in a murine model DOI Open Access

Yehudit Shabat,

Devorah Rotnemer-Golinkin,

Lidya Zolotarov

и другие.

Journal of Medicine and Life, Год журнала: 2025, Номер 18(1), С. 67 - 72

Опубликована: Янв. 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

Язык: Английский

Процитировано

0
The Constrained Disorder Principle: Beyond Biological Allostasis DOI Creative Commons

Ofek Adar,

Josef Daniel Shakargy, Yaron Ilan

и другие.

Biology, Год журнала: 2025, Номер 14(4), С. 339 - 339

Опубликована: Март 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.

Язык: Английский

Процитировано

0
The Relationship Between Biological Noise and Its Application: Understanding System Failures and Suggesting a Method to Enhance Functionality Based on the Constrained Disorder Principle DOI Creative Commons
Yaron Ilan

Biology, Год журнала: 2025, Номер 14(4), С. 349 - 349

Опубликована: Март 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.

Язык: Английский

Процитировано

0
The constrained disorder principle and the law of increasing functional information: The elephant versus the Moeritherium DOI Creative Commons
Yaron Ilan

Deleted Journal, Год журнала: 2025, Номер unknown, С. 100040 - 100040

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
The Constrained Disorder Principle Overcomes the Challenges of Methods for Assessing Uncertainty in Biological Systems DOI Open Access
Yaron Ilan

Journal of Personalized Medicine, Год журнала: 2024, Номер 15(1), С. 10 - 10

Опубликована: Дек. 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.

Язык: Английский

Процитировано

3
The Co-Piloting Model for Using Artificial Intelligence Systems in Medicine: Implementing the Constrained-Disorder-Principle-Based Second-Generation System DOI Creative Commons
Yaron Ilan

Bioengineering, Год журнала: 2024, Номер 11(11), С. 1111 - 1111

Опубликована: Ноя. 3, 2024

The development of artificial intelligence (AI) and machine learning (ML)-based systems in medicine is growing, these are being used for disease diagnosis, drug development, treatment personalization. Some designed to perform activities that demand human cognitive function. However, use routine care by patients caregivers lags behind expectations. This paper reviews several challenges healthcare face the obstacles integrating digital into care. focuses on with physicians. It describes second-generation AI move closer biology reduce complexity, augmenting but not replacing physicians improve patient outcomes. constrained disorder principle (CDP) defines complex biological their degree regulated variability. CDP-based platform, which basis Digital Pill humanizing moving via using inherent variability improving system augments physicians, assisting them decision-making patients' responses adherence providers. restores efficacy chronic drugs improves while generating data-driven therapeutic regimens. While can substitute many medical activities, it unlikely replace Human doctors will continue serving capabilities augmented AI. described co-piloting model better reflects pathways provides assistance

Язык: Английский

Процитировано

1