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, Journal Year: 2024, Volume and Issue: 11(11), P. 1111 - 1111

Published: Nov. 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

Language: 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

et al.

ImmunoTargets and Therapy, Journal Year: 2024, Volume and Issue: Volume 13, P. 525 - 539

Published: Oct. 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

Language: Английский

Citations

5
Inter-organ correlations in inflammation regulation: a novel biological paradigm in a murine model DOI Open Access

Yehudit Shabat,

Devorah Rotnemer-Golinkin,

Lidya Zolotarov

et al.

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
The paradigm of digital health: AI applications and transformative trends DOI
Zubia Rashid, Hania Ahmed, Neha Nadeem

et al.

Neural Computing and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: March 15, 2025

Language: Английский

Citations

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

Ofek Adar,

Josef Daniel Shakargy, Yaron Ilan

et al.

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
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, 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
Opportunities and challenges with artificial intelligence in allergy and immunology: a bibliometric study DOI Creative Commons
Ningkun Xiao, Xin‐Lin Huang, Yujun Wu

et al.

Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12

Published: April 9, 2025

The fields of allergy and immunology are increasingly recognizing the transformative potential artificial intelligence (AI). Its adoption is reshaping research directions, clinical practices, healthcare systems. However, a systematic overview identifying current statuses, emerging trends, future hotspots lacking. This study applied bibliometric analysis methods to systematically evaluate global landscape AI applications in immunology. Data from 3,883 articles published by 21,552 authors across 1,247 journals were collected analyzed identify leading contributors, prevalent themes, collaboration patterns. Analysis revealed that USA China currently output scientific impact this domain. methodologies, especially machine learning (ML) deep (DL), predominantly drug discovery development, disease classification prediction, immune response modeling, decision support, diagnostics, system digitalization, medical education. Emerging trends indicate significant movement toward personalized systems integration. findings demonstrate dynamic evolution immunology, highlighting broadening scope basic diagnostics comprehensive Despite advancements, critical challenges persist, including technological limitations, ethical concerns, regulatory frameworks could potentially hinder further implementation holds considerable promise for advancing globally enhancing precision, efficiency, accessibility. Addressing existing technological, ethical, will be crucial fully realizing its potential, ultimately improving health outcomes patient well-being.

Language: Английский

Citations

0
Synthesis, biological evaluation, and DFT analysis of s-triazine analogues with medicinal potential integrated with bioactive heterocyclic scaffolds DOI
Jyoti Kumawat, Sonika Jain, Saraswati Patel

et al.

Journal of Molecular Structure, Journal Year: 2024, Volume and Issue: 1313, P. 138668 - 138668

Published: May 19, 2024

Language: Английский

Citations

3
Using the Constrained Disorder Principle to Navigate Uncertainties in Biology and Medicine: Refining Fuzzy Algorithms DOI Creative Commons
Yaron Ilan

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
The constrained-disorder principle defines the functions of systems in nature DOI Creative Commons
Yaron Ilan

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
Effects of a lower limb walking exoskeleton on quality of life and activities of daily living in patients with complete spinal cord injury: A randomized controlled trial DOI

Xiaomin Hu,

Jiachun Lü, Yunyun Wang

et al.

Technology and Health Care, Journal Year: 2023, Volume and Issue: 32(1), P. 243 - 253

Published: July 18, 2023

BACKGROUND: In recent years, lower limb walking exoskeletons have been widely used in the study of spinal cord injury (SCI). OBJECTIVE: To explore effect a exoskeleton on quality life and functional independence patients with motor complete SCI. METHODS: This was multi-center, single blind, randomized controlled trial. A total 16 SCI were randomly assigned to either exoskeleton-assisted (EAW) group (n= 8) or conventional 8). Both groups received rehabilitation training, including aerobic exercise strength training. The EAW additionally conducted training using an AIDER powered robotic for 40–50 minutes, 5 times/week 8 weeks. World Health Organization life-BREF (WHOQOL-BREF) Spinal Cord Independence Measure III (SCIM-III) assessment before after RESULTS: There increasing tendency scores psychological health, physical social relationships domain WHOQOL-BREF intervention compared pre-intervention period, but there no significant difference (P> 0.05). SCIM-III increased both pre-training, only showing weeks (P< CONCLUSION: may potential benefits activities daily living

Language: Английский

Citations

9