Mathematical models for the effect of anti-vascular endothelial growth factor on visual acuity

Edwards, David A.; Emerick, Brooks; Kondic, Anna G.; Kiradjiev, Kristian; Raymond, Christopher S.; Zyskin, Maxim

doi:10.1007/s00285-020-01544-4

Cited by 6 publications

(9 citation statements)

References 22 publications

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“…Other models have simulated the effect of anti-VEGF therapy on clinically relevant features of nAMD, e.g. visual acuity and size of macular oedema [84,136,200]. These models can be compared directly with clinical trials and, potentially, can be used to run ISCTs, as discussed in section 7.…”

Section: Models Of Treatment Outcomementioning

confidence: 99%

“…The addition of statistical variations in the model framework allows inclusion of random event in population wide simulations of anti-VEGF and the possibility to directly integrate future clinical observations into the model to increase robustness of the predictions. Building on this, Edwards et al added the buildup of tolerance to the drugs and its effect on visual outcome, using spatial and non-spatial models [84]. Using model parameters fitted to visual acuity readings for each patient in the clinical study, they were able to find a model-specific determinant of treatment response.…”

Section: Models Of Treatment Outcomementioning

confidence: 99%

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Advancing treatment of retinal disease through in silico trials

2023

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Treating retinal diseases to prevent sight loss is an increasingly important challenge. Thanks to the configuration of the eye, the retina can be examined relatively easily in situ. Owing to recent technological development in scanning devices, much progress has been made in understanding the structure of the retina and characterising retinal biomarkers. However, treatment options remain limited and are often of low efficiency and efficacy.In recent years, the concept of in silico clinical trials has been adopted by many pharmaceutical companies to optimise and accelerate the development of therapeutics. In silico clinical trials rely on the use of mathematical models based on the physical and biochemical mechanisms underpinning a biological system. With appropriate simplifications and assumptions, one can generate computer simulations of various treatment regimens, new therapeutic molecules, delivery strategies and so forth, rapidly and at a fraction of the cost required for the equivalent experiments. Such simulations have the potential not only to hasten the development of therapies and strategies but also tooptimise the use of existing therapeutics.In this paper, we review the state-of-the-art in in silico models of the retina for mathematicians, biomedical scientists and clinicians, highlighting the challenges to developing in silico clinical trials. Throughout this paper, we highlight key findings from in silico models about the physiology of the retina in health and disease. We describe the main building blocks of in silico clinical trials and identify challenges to developing in silico clinical trials of retinal diseases.

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Section: Models Of Treatment Outcomementioning

confidence: 99%

Section: Models Of Treatment Outcomementioning

confidence: 99%

Advancing treatment of retinal disease through in silico trials

2023

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“…At this point it is also noted that approaches to patient progression modelling exist that explore conventional models. These include mathematical models, e.g., to determine the effect of the anti-vascular endothelial growth factor on VA via medication concentration and tolerance 25 , as well as regression-based approaches, e.g., to predict VA in diabetic retinopathy via the foveal avascular zone area 26 .…”

Section: Patient Progressing Modellingmentioning

confidence: 99%

Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System

Schlosser¹,

Beuth²,

Meyer³

et al. 2022

Preprint

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In ophthalmology, intravitreal operative medication therapy (IVOM) is widespread treatment for diseases such as the age-related macular degeneration (AMD), the diabetic macular edema (DME), as well as the retinal vein occlusion (RVO). However, in real-world settings, patients often suffer from loss of vision on time scales of years despite therapy, whereas the prediction of the visual acuity (VA) and the earliest possible detection of deterioration under real-life conditions is challenging due to heterogeneous and incomplete data. In this contribution, we present a workflow for the development of a research-compatible data corpus fusing different IT systems of the department of ophthalmology of a German maximum care hospital. The extensive data corpus allows predictive statements of the expected progression of a patient and his or her VA in each of the three diseases. Within our proposed multistage system, we classify the VA progression into the three groups of therapy "winners", "stabilizers", and "losers" (WSL scheme). Our OCT biomarker classification using an ensemble of deep neural networks results in a classification accuracy (F1-score) of over 98 %, enabling us to complete incomplete OCT documentations while allowing us to exploit them for a more precise VA modelling process. Our VA prediction requires at least four VA examinations and optionally OCT biomarkers from the same time period to predict the VA progression within a forecasted time frame. While achieving a prediction accuracy of up to 69 % (macro average F1-score) when considering all three WSL-based progression groups, this corresponds to an improvement by 11 % in comparison to our ophthalmic expertise (58 %).

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“…Of course, this method has made a great impact in the past five years, but in recent two years, with the rise of film and television and animation multimedia technology, this technology has been widely used in schools. e researcher's questionnaire survey shows that most students can improve their English learning ability through the new multimedia teaching method, but some studies show that it is the opposite result [11]. In order to more systematically verify and predict the overall development trend in the future, the complex system discrete model technology can be used to integrate the data within decades [11].…”

Section: Introductionmentioning

confidence: 99%

“…e researcher's questionnaire survey shows that most students can improve their English learning ability through the new multimedia teaching method, but some studies show that it is the opposite result [11]. In order to more systematically verify and predict the overall development trend in the future, the complex system discrete model technology can be used to integrate the data within decades [11]. It can also further correlate graphics, senses, and knowledge capabilities through discrete modeling of complex systems.…”

Section: Introductionmentioning

confidence: 99%

The Influence of Multimedia Input Mode Based on Complex System Discrete Model on College Students’ English Ability

Wang

Zhao

2021

Discrete Dynamics in Nature and Society

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With the rapid development of the Internet, the amount of data increases sharply. In this network age, data have been generated, such as multimedia, social networks, and search records. Due to the generation of data, complex system discrete model technology is also widely used in all walks of life. Multimedia learning is a popular teaching mode in the world. Through the discrete model technology of the complex system, this paper deeply studies the impact of multimedia input on college students’ English ability. Because the modeling and sampling of complex systems are abstract and not fixed, approximation and control methods are adopted in discrete time, which greatly improves the reliability of the final research results. Compared with the original discrete modeling technology, this paper adds data sampling compression and assimilation technology on the basis of the original discrete modeling technology of the complex system. The results show that, by adding the technical application of controllable and observable systems, the discrete model of the whole complex system can reduce the error of the final output data. At the same time, this paper compresses and simplifies the data nodes at the microlevel. Macroscopically, it reduces the scale, especially the number of node data compression. The final result also realizes the data scale and greatly shortens the calculation time. This study has greatly improved the accuracy of the impact of multimedia on Chinese college students’ English ability in practical application.

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Mathematical models for the effect of anti-vascular endothelial growth factor on visual acuity

Cited by 6 publications

References 22 publications

Advancing treatment of retinal disease through in silico trials

Advancing treatment of retinal disease through in silico trials

Visual Acuity Prediction on Real-Life Patient Data Using a Machine Learning Based Multistage System

The Influence of Multimedia Input Mode Based on Complex System Discrete Model on College Students’ English Ability

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