Digital Analgesic Comprising a Second-Generation Digital Health System: Increasing Effectiveness by Optimizing the Dosing and Minimizing Side Effects

Azmanov, Henny; Bayatra, Areej; Ilan, Yaron

doi:10.2147/jpr.s356319

Cited by 24 publications

(18 citation statements)

References 109 publications

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“…Implementing variability into therapeutic regimens of anti-aging drugs, such as metformin, statins, anti-oxidants, and all types of medications and natural products, which showed some efficacy in pre-clinical and clinical studies, is expected to improve the response to these drugs. In parallel, using the digital pill with anti-depressants, anti-diabetics, cardiac drugs, chronic analgesics, anti-cancer drugs, and other medications which are commonly used in the aged population is expected to overcome the compensatory mechanisms and increase the response rate and the clinical benefits from these medications, improving quality of life and increasing lifespan ( Ilan, 2019e ; Ilan, 2019f ; Kenig and Ilan, 2019 ; Khoury and Ilan, 2019 ; Gelman et al, 2020 ; Ilan and Spigelman, 2020 ; Kessler et al, 2020 ; Potruch et al, 2020 ; Ilan, 2021a ; Ishay et al, 2021a ; Azmanov et al, 2021 ; Ishay et al, 2021b ; Hurvitz et al, 2021 ; Isahy and Ilan, 2021 ; Kenig et al, 2021 ; Khoury and Ilan, 2021 ; Kolben et al, 2021 ; Azmanov et al, 2022 ; Gelman et al, 2022 ).…”

Section: The Constrained Disorder Principle Provides a Methods For Im...mentioning

confidence: 99%

“…The compensatory mechanisms that lead to a lack of a sustainable response evolve from mechanisms that differ between subjects and interventions ( Ilan, 2020c ). The compensatory responses lead to partial or complete loss of response in up to half of the users of numerous agents, including anti-inflammatory agents, anti-cancer drugs; anti-depressants, anti-epileptics analgesics, medical cannabis-based products, metabolic agents, and others ( Ilan, 2019e ; Ilan, 2019f ; Kenig and Ilan, 2019 ; Khoury and Ilan, 2019 ; Ilan, 2020c ; Gelman et al, 2020 ; Ilan and Spigelman, 2020 ; Kessler et al, 2020 ; Potruch et al, 2020 ; Ilan, 2021a ; Ishay et al, 2021a ; Azmanov et al, 2021 ; Ishay et al, 2021b ; Hurvitz et al, 2021 ; Isahy and Ilan, 2021 ; Kenig et al, 2021 ; Khoury and Ilan, 2021 ; Kolben et al, 2021 ; Azmanov et al, 2022 ; Gelman et al, 2022 ). Compensatory mechanisms also underlie the plateaus effects in training and other non-pharmacological interventions, hindering the ability to achieve a long-term effect ( Gelman et al, 2022 ).…”

Section: Improving the Response To Chronic Medications Using The Cons...mentioning

confidence: 99%

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Improving the effectiveness of anti-aging modalities by using the constrained disorder principle-based management algorithms

et al. 2022

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Aging is a complex biological process with multifactorial nature underlined by genetic, environmental, and social factors. In the present paper, we review several mechanisms of aging and the pre-clinically and clinically studied anti-aging therapies. Variability characterizes biological processes from the genome to cellular organelles, biochemical processes, and whole organs’ function. Aging is associated with alterations in the degrees of variability and complexity of systems. The constrained disorder principle defines living organisms based on their inherent disorder within arbitrary boundaries and defines aging as having a lower variability or moving outside the boundaries of variability. We focus on associations between variability and hallmarks of aging and discuss the roles of disorder and variability of systems in the pathogenesis of aging. The paper presents the concept of implementing the constrained disease principle-based second-generation artificial intelligence systems for improving anti-aging modalities. The platform uses constrained noise to enhance systems’ efficiency and slow the aging process. Described is the potential use of second-generation artificial intelligence systems in patients with chronic disease and its implications for the aged population.

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Section: The Constrained Disorder Principle Provides a Methods For Im...mentioning

confidence: 99%

Section: Improving the Response To Chronic Medications Using The Cons...mentioning

confidence: 99%

Improving the effectiveness of anti-aging modalities by using the constrained disorder principle-based management algorithms

et al. 2022

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“…It is essential to establish and quantify cellular and whole organ patterns of variability and then implement them into the algorithm for improving accuracy [ 25 , 43 , 68 , 76 , 85 , 97 , 100 , 101 , 141 , 142 , 143 , 144 , 145 , 146 , 147 , 148 , 149 , 150 , 151 , 153 , 154 , 155 , 156 , 157 , 158 ]. Important information is also obtained by evaluating single-cell variabilities in gene expression, proteomics, metabolomics, and epitope expression performed on cells harvested from patients before and after therapy for chronic disease.…”

Section: A Three-phase Roadmap For Developing a Platform For Overcomi...mentioning

confidence: 99%

Next-Generation Personalized Medicine: Implementation of Variability Patterns for Overcoming Drug Resistance in Chronic Diseases

Ilan

2022

JPM

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Chronic diseases are a significant healthcare problem. Partial or complete non-responsiveness to chronic therapies is a significant obstacle to maintaining the long-term effect of drugs in these patients. A high degree of intra- and inter-patient variability defines pharmacodynamics, drug metabolism, and medication response. This variability is associated with partial or complete loss of drug effectiveness. Regular drug dosing schedules do not comply with physiological variability and contribute to resistance to chronic therapies. In this review, we describe a three-phase platform for overcoming drug resistance: introducing irregularity for improving drug response; establishing a deep learning, closed-loop algorithm for generating a personalized pattern of irregularity for overcoming drug resistance; and upscaling the algorithm by implementing quantified personal variability patterns along with other individualized genetic and proteomic-based ways. The closed-loop, dynamic, subject-tailored variability-based machinery can improve the efficacy of existing therapies in patients with chronic diseases.

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“…Methods for increasing variability were proposed for biological systems, such as introducing patterns of variability based on quantifying inherent variabilities. 12,64,[116][117][118][119][120][121][122][123][124][125][127][128][129][130][131][132][133][134][135][136][137][138][139][140][141][142] The response to disease-inducing triggers and therapies varies between subjects and within the same subject over time. 118,[143][144][145] Patterns of variability can be disease-, subject-or intervention-dependent.…”

Section: Increasing the Degree Of Variability Of Systems For Their Pr...mentioning

confidence: 99%

Enhancing the plasticity, proper function and efficient use of energy of the Sun, genes and microtubules using variability

Ilan

2022

Clinical and Translational Dis

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Backgournd Variability is essential for the efficient functioning of multiple systems in nature. Systems do not function according to rigid rules, easy to determine. The reasons for such behaviour directly affect the design and efficient energy utilization. Aim and methods In this paper, we review the relevant studies and present examples of variabilities in the functions of the Sun, genes and microtubules (MTs) and discuss the potential implications of these variabilities to their operations. Results Variability characterizes multiple systems in nature and is mandatory for their proper function. Variability can also be detercted in quantum effects in physics and several biological systems. Loss of the inherent variability of systems leads to less efficient energy usage and is associated with their malfunction. Variability is an energy‐dependent effect, and examples of the potential importance of electromagnetic energy in the behaviours of the Sun, genes, MTs and quantum effects are provided. Methods are presented for increasing the degrees of the variability of systems for improving their efficiency of energy usage, correcting malfunctioning systems that lost their variability, and improving their function. Summary The collaborative efforts of multiple disciplines in science, along with notions based on literature, philosophy, and industry‐evolving concepts, set up variability‐based signatures for progressing systems. Uses of these methods are demonstrated in therapeutic interventions and designing daily‐use devices.

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Digital Analgesic Comprising a Second-Generation Digital Health System: Increasing Effectiveness by Optimizing the Dosing and Minimizing Side Effects

Cited by 24 publications

References 109 publications

Improving the effectiveness of anti-aging modalities by using the constrained disorder principle-based management algorithms

Improving the effectiveness of anti-aging modalities by using the constrained disorder principle-based management algorithms

Next-Generation Personalized Medicine: Implementation of Variability Patterns for Overcoming Drug Resistance in Chronic Diseases

Enhancing the plasticity, proper function and efficient use of energy of the Sun, genes and microtubules using variability

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