Modified fractional order IMC design based drug scheduling for cancer treatment

Pachauri, Nikhil; Yadav, Jyoti; Rani, Asha; Singh, Vijander

doi:10.1016/j.compbiomed.2019.04.013

“…These results are in keeping with previous studies, in which the detailed analysis offered by FrOr modeling improved our knowledge about several biomedical areas, including the properties of the arterial wall in brain aneurysms [51], the description of the red blood cell membrane mechanics [52] and the blood flow in the cranial network [53]. Similar improvements were also observed in modeling the viscoelastic nonlinear compressible properties of the lung [49], the blood ethanol concentration [50], and improving the chemotherapy used in cancer treatment [18].…”

Section: Discussionsupporting

confidence: 87%

“…Recently, models based upon fractional derivatives and integrals have gained considerable popularity in the analysis of biological systems because they are more appropriate to describe the dynamic response of living systems than models based upon classical or integer-order derivatives and integrals [17][18][19]. In the particular case of the respiratory system, the ability of fractional-order models to effectively describe fractional power laws, hysteresis, and system memory, is of pivotal importance.…”

Section: Introductionmentioning

confidence: 99%

Combined forced oscillation and fractional-order modeling in patients with work-related asthma: a case-control study analyzing respiratory biomechanics and diagnostic accuracy

Tuza

¹

,

Sá²,

Castro

³

et al. 2020

Preprint

0

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Background Fractional-order (FrOr) models have a high potential to improve pulmonary science. These models could be useful for biomechanical studies and diagnostic purposes, offering accurate models with an improved ability to describe nature. This paper evaluates the performance of the Forced Oscillation (FO) associated with integer (InOr) and FrOr models in the analysis of respiratory alterations in work-related asthma (WRA). Methods Sixty-two individuals were evaluated: 31 healthy and 31 with WRA with mild obstruction. Patients were analyzed pre and post bronchodilation. The diagnostic accuracy was evaluated using the area under the receiver operating characteristic curve (AUC). To evaluate how well do the studied models correspond to observed data, we analyzed the mean square root of the sum (MSEt) and the relative distance (Rd) of the estimated model values to the measured resistance and reactance measured values. Results and discussion Initially, the use of InOr and FrOr models increased our understanding of the WRA physiopathology, showing increased peripheral resistance, damping, and hysteresivity. The FrOr model (AUC=0.970) outperformed standard FO (AUC=0.929), as well as InOr modeling (AUC=0.838) in the diagnosis of respiratory changes, achieving high accuracy. FrOr improved the curve fitting (MSEt=0.156±0.340; Rd=3.026±1.072) in comparison with the InOr model (MSEt=0.367±0.991; Rd=3.363±1.098). Finally, we demonstrated that the bronchodilator use increased dynamic compliance, as well as reduced damping and peripheral resistance. Conclusions Taken together, these results show clear evidence of the utility of FO associated with fractional-order modeling in patients with WRA, improving our knowledge of the biomechanical abnormalities and the diagnostic accuracy in this disease.

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“…These results are in keeping with previous studies, in which the detailed analysis offered by FrOr modeling improved our knowledge about several biomedical areas, including the properties of the arterial wall in brain aneurysms [51], the description of the red blood cell membrane mechanics [52] and the blood ow in the cranial network [53]. Similar improvements were also observed in modeling the viscoelastic nonlinear compressible properties of the lung [49], the blood ethanol concentration [50], and improving the chemotherapy used in cancer treatment [18].…”

Section: Discussionsupporting

confidence: 87%

Combined forced oscillation and fractional-order modeling in patients with work-related asthma: a case-control study analyzing respiratory biomechanics and diagnostic accuracy

Tuza

¹

,

Sá²,

Castro

³

et al. 2020

Preprint

0

View full text Add to dashboard Cite

Background Fractional-order (FrOr) models have a high potential to improve pulmonary science. These models could be useful for biomechanical studies and diagnostic purposes, offering accurate models with an improved ability to describe nature. This paper evaluates the performance of the Forced Oscillation (FO) associated with integer (InOr) and FrOr models in the analysis of respiratory alterations in work-related asthma (WRA). Methods Sixty-two individuals were evaluated: 31 healthy and 31 with WRA with mild obstruction. Patients were analyzed pre and post bronchodilation. The diagnostic accuracy was evaluated using the area under the receiver operating characteristic curve (AUC). To evaluate how well do the studied models correspond to observed data, we analyzed the mean square root of the sum (MSEt) and the relative distance (Rd) of the estimated model values to the measured resistance and reactance measured values. Results and discussion Initially, the use of InOr and FrOr models increased our understanding of the WRA physiopathology, showing increased peripheral resistance, damping, and hysteresivity. The FrOr model (AUC=0.970) outperformed standard FO (AUC=0.929), as well as InOr modeling (AUC=0.838) in the diagnosis of respiratory changes, achieving high accuracy. FrOr improved the curve fitting (MSEt=0.156±0.340; Rd=3.026±1.072) in comparison with the InOr model (MSEt=0.367±0.991; Rd=3.363±1.098). Finally, we demonstrated that the bronchodilator use increased dynamic compliance, as well as reduced damping and peripheral resistance. Conclusions Taken together, these results show clear evidence of the utility of FO associated with fractional-order modeling in patients with WRA, improving our knowledge of the biomechanical abnormalities and the diagnostic accuracy in this disease.

show abstract

“…These results are in keeping with previous studies, in which the detailed analysis offered by FrOr modeling improved our knowledge about several biomedical areas, including the properties of the arterial wall in brain aneurysms [48], the description of the red blood cell membrane mechanics [49], and the blood flow in the cranial network [50]. Similar improvements were also observed in modeling the viscoelastic non-linear compressible properties of the lung [46], the blood ethanol concentration [47], and improving the chemotherapy used in cancer treatment [18].…”

Section: Auc Se (%) Sp (%)supporting

confidence: 80%

Combined forced oscillation and fractional-order modeling in patients with work-related asthma: a case–control study analyzing respiratory biomechanics and diagnostic accuracy

Tuza

¹

,

Sá

²

,

Castro

³

et al. 2020

BioMed Eng OnLine

1

0

View full text Add to dashboard Cite

Background Fractional-order (FrOr) models have a high potential to improve pulmonary science. These models could be useful for biomechanical studies and diagnostic purposes, offering accurate models with an improved ability to describe nature. This paper evaluates the performance of the Forced Oscillation (FO) associated with integer (InOr) and FrOr models in the analysis of respiratory alterations in work-related asthma (WRA). Methods Sixty-two individuals were evaluated: 31 healthy and 31 with WRA with mild obstruction. Patients were analyzed pre- and post-bronchodilation. The diagnostic accuracy was evaluated using the area under the receiver operating characteristic curve (AUC). To evaluate how well do the studied models correspond to observed data, we analyzed the mean square root of the sum (MSEt) and the relative distance (Rd) of the estimated model values to the measured resistance and reactance measured values. Results and discussion Initially, the use of InOr and FrOr models increased our understanding of the WRA physiopathology, showing increased peripheral resistance, damping, and hysteresivity. The FrOr model (AUC = 0.970) outperformed standard FO (AUC = 0.929), as well as InOr modeling (AUC = 0.838) in the diagnosis of respiratory changes, achieving high accuracy. FrOr improved the curve fitting (MSEt = 0.156 ± 0.340; Rd = 3.026 ± 1.072) in comparison with the InOr model (MSEt = 0.367 ± 0.991; Rd = 3.363 ± 1.098). Finally, we demonstrated that bronchodilator use increased dynamic compliance, as well as reduced damping and peripheral resistance. Conclusions Taken together, these results show clear evidence of the utility of FO associated with fractional-order modeling in patients with WRA, improving our knowledge of the biomechanical abnormalities and the diagnostic accuracy in this disease.

show abstract

Modified fractional order IMC design based drug scheduling for cancer treatment

Cited by 36 publications

References 36 publications

Combined forced oscillation and fractional-order modeling in patients with work-related asthma: a case-control study analyzing respiratory biomechanics and diagnostic accuracy

Combined forced oscillation and fractional-order modeling in patients with work-related asthma: a case-control study analyzing respiratory biomechanics and diagnostic accuracy

Combined forced oscillation and fractional-order modeling in patients with work-related asthma: a case-control study analyzing respiratory biomechanics and diagnostic accuracy

Combined forced oscillation and fractional-order modeling in patients with work-related asthma: a case–control study analyzing respiratory biomechanics and diagnostic accuracy

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