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	<title>, Author at Iridology Research</title>
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		<title>Machine learning application in early detection of lung damage based on Iridology</title>
		<link>https://iridology-research.com/machine-learning-application-in-early-detection-of-lung-damage-based-on-iridology/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Tue, 13 Oct 2026 15:12:03 +0000</pubDate>
				<category><![CDATA[Abstracts]]></category>
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					<description><![CDATA[<p class="wp-block-paragraph">Abstract</p>
<p class="wp-block-paragraph">Early detection of the risk of lung damage is important in support of timely screening and intervention, while methods such as X-ray or CT require specialized equipment and high cost. This study proposes a deep-based supplementary approach that is to classify the risk of lung damage from iridology imaging. The research process includes pre-processing of images, extracting the area of myopia, training and comparing the four models MobileNetV2, MobileNetV3, Vision Transformer and TinyViT on the same dataset. Experimental results show TinyViT achieves the best performance with Accuracy 91.30%, Recall 95.80%, F1-score 94.48% and 103 ms response time, showing the ability to balance between accuracy and cost calculation. The study also directed the integration of the model into the mobile application to support the initial screening in the community. The proposed system does not replace standard medical diagnostic methods, but serves as a tool to support early warning at low cost and flexible [...]</p>
<p>The post <a href="https://iridology-research.com/machine-learning-application-in-early-detection-of-lung-damage-based-on-iridology/">Machine learning application in early detection of lung damage based on Iridology</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph">Abstract</p>



<p class="wp-block-paragraph">Early detection of the risk of lung damage is important in support of timely screening and intervention, while methods such as X-ray or CT require specialized equipment and high cost. This study proposes a deep-based supplementary approach that is to classify the risk of lung damage from iridology imaging. The research process includes pre-processing of images, extracting the area of myopia, training and comparing the four models MobileNetV2, MobileNetV3, Vision Transformer and TinyViT on the same dataset. Experimental results show TinyViT achieves the best performance with Accuracy 91.30%, Recall 95.80%, F1-score 94.48% and 103 ms response time, showing the ability to balance between accuracy and cost calculation. The study also directed the integration of the model into the mobile application to support the initial screening in the community. The proposed system does not replace standard medical diagnostic methods, but serves as a tool to support early warning at low cost and flexible deployment.</p>



<p class="wp-block-paragraph">Authors:<br>Ngan Pham Thi Hong Institute of Digital Technology, Thu Dau Mot University Author<br>Cuong Nguyen Chi Institute of Digital Technology, Thu Dau Mot University Author<br>Hung Ho Dac Institute of Digital Technology, Thu Dau Mot University Author</p>



<p class="wp-block-paragraph">DOI: https://doi.org/10.37550/tdmu.EJS/V2026.03.761</p>
<p>The post <a href="https://iridology-research.com/machine-learning-application-in-early-detection-of-lung-damage-based-on-iridology/">Machine learning application in early detection of lung damage based on Iridology</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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		<title>Irisearch</title>
		<link>https://iridology-research.com/irisearch/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Tue, 29 Sep 2026 15:55:19 +0000</pubDate>
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<p>The post <a href="https://iridology-research.com/irisearch/">Irisearch</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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		<title>Document Library</title>
		<link>https://iridology-research.com/document-library/</link>
		
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		<pubDate>Mon, 28 Sep 2026 21:03:42 +0000</pubDate>
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					<description><![CDATA[<p>The post <a href="https://iridology-research.com/document-library/">Document Library</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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<p>The post <a href="https://iridology-research.com/document-library/">Document Library</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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		<title>Search Archives</title>
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		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Wed, 17 Jun 2026 03:09:02 +0000</pubDate>
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<p>The post <a href="https://iridology-research.com/search-archives/">Search Archives</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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<p>The post <a href="https://iridology-research.com/search-archives/">Search Archives</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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		<title>Evaluation of autonomic involvement in Parkinson’s disease using pupillometry</title>
		<link>https://iridology-research.com/evaluation-of-autonomic-involvement-in-parkinsons-disease-using-pupillometry/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Tue, 27 Jan 2026 00:49:10 +0000</pubDate>
				<category><![CDATA[Abstracts]]></category>
		<guid isPermaLink="false">https://iridology-research.com/?p=6333</guid>

					<description><![CDATA[<p>Abstract Introduction </p>
<p>The pupillary light reflex (PLR) indicates the function of the autonomic nervous system, which causes the pupil to constrict and dilate. Evaluation of the PLR determines the parasympathetic and sympathetic balance. We aimed to demonstrate autonomic changes by pupillometry in Parkinson’d disease (PD) and to investigate the relationship between the changes and motor stage and levodopa equivalent dose (LEDD).</p>
<p> Method </p>
<p>Static pupillometry measurement was performed at scotopic, mesopic and photopic settings. Dynamic pupillometry measurement was performed at 500 lux illumination and pupil diameter was recorded. Static and dynamic pupillometry parameters of Parkinson’s disease patients and healthy control group of similar age and gender were compared. The relationship between Unified Parkinson’s Disease Rating Scale (UPDRS)-motor, modified Hoehn and Yahr (mHYE) and levodopa equivalent daily dose (LEDD) and pupillometry parameters were analysed.</p>
<p> Results </p>
<p>In static pupillometry, mesopic pupil diameter was significantly lower in PD patients (<i>P</i> = 0.04). In dynamic pupillometry, pupil diameter was lower [...]</p>
<p>The post <a href="https://iridology-research.com/evaluation-of-autonomic-involvement-in-parkinsons-disease-using-pupillometry/">Evaluation of autonomic involvement in Parkinson’s disease using pupillometry</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
]]></description>
										<content:encoded><![CDATA[<div id="Abs1-content" class="c-article-section__content">
<section lang="en" aria-labelledby="Abs1" data-title="Abstract">
<div id="Abs1-section" class="c-article-section">
<h2 id="Abs1" class="c-article-section__title js-section-title js-c-reading-companion-sections-item">Abstract</h2>
<div id="Abs1-content" class="c-article-section__content">
<h3 class="c-article__sub-heading" data-test="abstract-sub-heading">Introduction</h3>
<p>The pupillary light reflex (PLR) indicates the function of the autonomic nervous system, which causes the pupil to constrict and dilate. Evaluation of the PLR determines the parasympathetic and sympathetic balance. We aimed to demonstrate autonomic changes by pupillometry in Parkinson’d disease (PD) and to investigate the relationship between the changes and motor stage and levodopa equivalent dose (LEDD).</p>
<h3 class="c-article__sub-heading" data-test="abstract-sub-heading">Method</h3>
<p>Static pupillometry measurement was performed at scotopic, mesopic and photopic settings. Dynamic pupillometry measurement was performed at 500 lux illumination and pupil diameter was recorded. Static and dynamic pupillometry parameters of Parkinson’s disease patients and healthy control group of similar age and gender were compared. The relationship between Unified Parkinson’s Disease Rating Scale (UPDRS)-motor, modified Hoehn and Yahr (mHYE) and levodopa equivalent daily dose (LEDD) and pupillometry parameters were analysed.</p>
<h3 class="c-article__sub-heading" data-test="abstract-sub-heading">Results</h3>
<p>In static pupillometry, mesopic pupil diameter was significantly lower in PD patients (<i>P</i> = 0.04). In dynamic pupillometry, pupil diameter was lower and mean pupil dilation rate was lower in the PD group at 18 seconds. There was a significant negative correlation between mean pupil dilatation velocity and mHYE, UPDRS-motor and LEDD. The mean pupil dilatation velocity was statistically significantly lower in patients not receiving dopaminergic treatment.</p>
<h3 class="c-article__sub-heading" data-test="abstract-sub-heading">Conclusion</h3>
<p>Changes in pupillometry values in PD have emphasized that the autonomic nervous system is affected and the parasympathetic nervous system was found to be correlated with the motor involvement of the disease.</p>
</div>
<p>Full Abstract: <a href="https://link.springer.com/article/10.1007/s10072-025-08182-y?">https://link.springer.com/article/10.1007/s10072-025-08182-y? </a></p>
</div>
<p>Authors:</p>
<ul class="c-article-author-list c-article-author-list--short js-no-scroll" data-test="authors-list" data-component-authors-activator="authors-list">
<li class="c-article-author-list__item"><a href="https://link.springer.com/article/10.1007/s10072-025-08182-y?#auth-Dilek-__can-Aff1" data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" data-track-index="1_3" data-track-context="researcher popup with profile" data-author-popup="auth-Dilek-__can-Aff1" data-author-search="İşcan, Dilek" data-corresp-id="c1">Dilek İşcan</a>,</li>
<li class="c-article-author-list__item"><a href="https://link.springer.com/article/10.1007/s10072-025-08182-y?#auth-Ceren-T_rko_lu-Aff2" data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" data-track-index="2_3" data-track-context="researcher popup with no profile" data-author-popup="auth-Ceren-T_rko_lu-Aff2" data-author-search="Türkoğlu, Ceren">Ceren Türkoğlu</a> &amp;</li>
<li class="c-article-author-list__item"><a href="https://link.springer.com/article/10.1007/s10072-025-08182-y?#auth-Elif-Arslan-Aff3" data-test="author-name" data-track="click" data-track-action="open author" data-track-label="link" data-track-index="3_3" data-track-context="researcher popup with profile" data-author-popup="auth-Elif-Arslan-Aff3" data-author-search="Arslan, Elif">Elif Arslan</a></li>
</ul>
</section>
</div>
<p>The post <a href="https://iridology-research.com/evaluation-of-autonomic-involvement-in-parkinsons-disease-using-pupillometry/">Evaluation of autonomic involvement in Parkinson’s disease using pupillometry</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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		<item>
		<title>Pupillometric evaluation and analysis of light reflex in healthy subjects as a tool to study autonomic nervous system changes with aging</title>
		<link>https://iridology-research.com/pupillometric-evaluation-and-analysis-of-light-reflex-in-healthy-subjects-as-a-tool-to-study-autonomic-nervous-system-changes-with-aging/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Tue, 27 Jan 2026 00:20:56 +0000</pubDate>
				<category><![CDATA[Abstracts]]></category>
		<guid isPermaLink="false">https://iridology-research.com/?p=6331</guid>

					<description><![CDATA[<p>Abstract </p>
<p>To assess the relationships between aging and autonomic control of pupillary functions, TV-pupillometry and light reflex evaluation were performed in 52 healthy volunteers in the age range 15-75 years, grouped into four age classes (group 1: 15-29 years, Group 2: 30-44 years, Group 3: 45-59 years, Group 4: 60-75 years). Baseline light pupil diameter was found to be age-dependent, together with light reflex contraction velocity, which presented a linear correlation with age. Light reflex amplitude and half-redilatation velocity were reduced in older subjects, but presented only a weak linear correlation with age, while latency, contraction time and half-redilatation time percent of secondary dilatation and redilatation at 5 seconds did not show significant changes with age. These results confirm that there are important age-dependent changes in the mechanisms involved in pupillary autonomic functions, regarding both sympathetic and parasympathetic components. These changes appear to be easily detectable by making use of a sensitive and non-invasive technique [...]</p>
<p>The post <a href="https://iridology-research.com/pupillometric-evaluation-and-analysis-of-light-reflex-in-healthy-subjects-as-a-tool-to-study-autonomic-nervous-system-changes-with-aging/">Pupillometric evaluation and analysis of light reflex in healthy subjects as a tool to study autonomic nervous system changes with aging</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
]]></description>
										<content:encoded><![CDATA[<div id="abstract" class="abstract">
<h2 class="title">Abstract</h2>
<div id="eng-abstract" class="abstract-content selected">
<p>To assess the relationships between aging and autonomic control of pupillary functions, TV-pupillometry and light reflex evaluation were performed in 52 healthy volunteers in the age range 15-75 years, grouped into four age classes (group 1: 15-29 years, Group 2: 30-44 years, Group 3: 45-59 years, Group 4: 60-75 years). Baseline light pupil diameter was found to be age-dependent, together with light reflex contraction velocity, which presented a linear correlation with age. Light reflex amplitude and half-redilatation velocity were reduced in older subjects, but presented only a weak linear correlation with age, while latency, contraction time and half-redilatation time percent of secondary dilatation and redilatation at 5 seconds did not show significant changes with age. These results confirm that there are important age-dependent changes in the mechanisms involved in pupillary autonomic functions, regarding both sympathetic and parasympathetic components. These changes appear to be easily detectable by making use of a sensitive and non-invasive technique such as TV-pupillometry.</p>
</div>
<div class="inline-authors">
<div class="authors">
<div class="authors-list"><span class="authors-list-item "><a class="full-name" href="https://pubmed.ncbi.nlm.nih.gov/?term=Pozzessere+G&amp;cauthor_id=8695677" data-ga-category="search" data-ga-action="author_link" data-ga-label="G Pozzessere">G Pozzessere</a><sup class="affiliation-links"><span class="author-sup-separator"> </span><a class="affiliation-link" title="I.R.C.C.S. Istituto Mediterraneo di Neuroscienze, Isernia, Italy." href="https://pubmed.ncbi.nlm.nih.gov/8695677/#full-view-affiliation-1"> 1 </a></sup><span class="comma">, </span></span><span class="authors-list-item "><a class="full-name" href="https://pubmed.ncbi.nlm.nih.gov/?term=Valle+E&amp;cauthor_id=8695677" data-ga-category="search" data-ga-action="author_link" data-ga-label="E Valle">E Valle</a><span class="comma">, </span></span><span class="authors-list-item "><a class="full-name" href="https://pubmed.ncbi.nlm.nih.gov/?term=Rossi+P&amp;cauthor_id=8695677" data-ga-category="search" data-ga-action="author_link" data-ga-label="P Rossi">P Rossi</a><span class="comma">, </span></span><span class="authors-list-item "><a class="full-name" href="https://pubmed.ncbi.nlm.nih.gov/?term=Petrucci+B&amp;cauthor_id=8695677" data-ga-category="search" data-ga-action="author_link" data-ga-label="B Petrucci">B Petrucci</a><span class="comma">, </span></span><span class="authors-list-item "><a class="full-name" href="https://pubmed.ncbi.nlm.nih.gov/?term=Ambrosini+A&amp;cauthor_id=8695677" data-ga-category="search" data-ga-action="author_link" data-ga-label="A Ambrosini">A Ambrosini</a><span class="comma">, </span></span><span class="authors-list-item "><a class="full-name" href="https://pubmed.ncbi.nlm.nih.gov/?term=D%27Alessio+M&amp;cauthor_id=8695677" data-ga-category="search" data-ga-action="author_link" data-ga-label="M D'Alessio">M D&#8217;Alessio</a><span class="comma">, </span></span><span class="authors-list-item "><a class="full-name" href="https://pubmed.ncbi.nlm.nih.gov/?term=Pierelli+F&amp;cauthor_id=8695677" data-ga-category="search" data-ga-action="author_link" data-ga-label="F Pierelli">F Pierelli</a><span class="comma">, </span></span><span class="authors-list-item "><a class="full-name" href="https://pubmed.ncbi.nlm.nih.gov/?term=Giacomini+P&amp;cauthor_id=8695677" data-ga-category="search" data-ga-action="author_link" data-ga-label="P Giacomini">P Giacomini</a></span></div>
</div>
</div>
<div class="short-article-details">Affiliations</div>
<ul id="full-view-identifiers" class="identifiers">
<li><span class="identifier pubmed"> <span class="id-label"> PMID: </span> <strong class="current-id" title="PubMed ID">8695677</strong> </span></li>
<li><span class="identifier doi"> <span class="id-label"> DOI: </span> <a class="id-link" href="https://doi.org/10.1007/bf03340116" target="_blank" rel="noopener" data-ga-category="full_text" data-ga-action="DOI"> 10.1007/BF03340116 </a> </span></li>
</ul>
<p>Reference: <a href="https://pubmed.ncbi.nlm.nih.gov/8695677/">https://pubmed.ncbi.nlm.nih.gov/8695677/</a></p>
</div>
<p>The post <a href="https://iridology-research.com/pupillometric-evaluation-and-analysis-of-light-reflex-in-healthy-subjects-as-a-tool-to-study-autonomic-nervous-system-changes-with-aging/">Pupillometric evaluation and analysis of light reflex in healthy subjects as a tool to study autonomic nervous system changes with aging</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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		<title>Diagnostic utility of pupillometry in detecting autonomic dysfunction in migraine disorders</title>
		<link>https://iridology-research.com/diagnostic-utility-of-pupillometry-in-detecting-autonomic-dysfunction-in-migraine-disorders/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Tue, 27 Jan 2026 00:02:16 +0000</pubDate>
				<category><![CDATA[Abstracts]]></category>
		<guid isPermaLink="false">https://iridology-research.com/?p=6326</guid>

					<description><![CDATA[<p>Abstract </p>
<p>Purpose: This study aims to comprehensively investigate autonomic nervous system dysfunction in migraine patients using automated pupillometry, a non-invasive and objective assessment method.<br /> Materials and Methods: This study was designed as a prospective, non-randomized clinical trial involving a total of 128 participants aged 18–59 years (64 migraine patients and 64 healthy controls). All participants underwent a comprehensive ophthalmological examination followed by automated pupillometry testing. Pupillometry measurements were performed under scotopic (dark), mesopic (dim light), and photopic (bright light) conditions, with subsequent recording of dynamic pupil dilation measurements.</p>
<p>Results: The mean pupil dilation velocity in migraine patients (0.11 ± 0.45 mm/s) was found to be significantly slower compared to the healthy control group (0.13 ± 0.46 mm/s). Additionally, a significant difference was observed between the two groups in pupil diameter under mesopic conditions. Analysis of dynamic pupil dilation revealed a significant difference at the 10th second of measurement between Group I (migraine patients; 5.63 [...]</p>
<p>The post <a href="https://iridology-research.com/diagnostic-utility-of-pupillometry-in-detecting-autonomic-dysfunction-in-migraine-disorders/">Diagnostic utility of pupillometry in detecting autonomic dysfunction in migraine disorders</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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<h3 class="kt-blog-post__title kt-heading kt-heading--md kt-heading--medium dergipark">Abstract</h3>
<p>Purpose: This study aims to comprehensively investigate autonomic nervous system dysfunction in migraine patients using automated pupillometry, a non-invasive and objective assessment method.<br />
Materials and Methods: This study was designed as a prospective, non-randomized clinical trial involving a total of 128 participants aged 18–59 years (64 migraine patients and 64 healthy controls). All participants underwent a comprehensive ophthalmological examination followed by automated pupillometry testing. Pupillometry measurements were performed under scotopic (dark), mesopic (dim light), and photopic (bright light) conditions, with subsequent recording of dynamic pupil dilation measurements.</p>
<p>Results: The mean pupil dilation velocity in migraine patients (0.11 ± 0.45 mm/s) was found to be significantly slower compared to the healthy control group (0.13 ± 0.46 mm/s). Additionally, a significant difference was observed between the two groups in pupil diameter under mesopic conditions. Analysis of dynamic pupil dilation revealed a significant difference at the 10th second of measurement between Group I (migraine patients; 5.63 ± 0.87 mm) and Group II (healthy controls; 6.05 ± 0.95 mm).<br />
Conclusion: This study demonstrates that migraine patients exhibit slower pupil dilation velocity compared to healthy individuals, indicating autonomic nervous system dysfunction. These findings suggest that automated pupillometry may serve as a valuable, non-invasive, and objective tool for evaluating autonomic functions in migraine patients.</p>
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<p><span class="article-subtitle"><a href="https://dergipark.org.tr/en/pub/cumj/archive?y=2025#y2025">Year 2025</a>, Volume: 50 Issue: 2, 299 &#8211; 307, 30.06.2025 </span></p>
<p class="article-authors"><a class="is-user" title="Primary Author" href="https://dergipark.org.tr/en/pub/@ceren-turkoglu" data-toggle="tooltip"> Ceren Türkoğlu </a> , <a class="is-user" href="https://dergipark.org.tr/en/pub/@dilekiscan"> Dilek İşcan </a> , <a class="is-user" href="https://dergipark.org.tr/en/pub/@elif-arslan-811981"> Elif Arslan </a></p>
<div class="article-doi data-section"><a class="doi-link" href="https://doi.org/10.17826/cumj.1658478">https://doi.org/10.17826/cumj.1658478</a></div>
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<div>PDF: <a href="https://iridology-research.com/pdf/10.17826-cumj.1658478-4693276.pdf">https://iridology-research.com/pdf/</a></div>
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<p>The post <a href="https://iridology-research.com/diagnostic-utility-of-pupillometry-in-detecting-autonomic-dysfunction-in-migraine-disorders/">Diagnostic utility of pupillometry in detecting autonomic dysfunction in migraine disorders</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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		<title>Enhanced Diabetes Detection Through CNN-SVM Hybrid Architecture</title>
		<link>https://iridology-research.com/enhanced-diabetes-detection-through-cnn-svm-hybrid-architecture/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Mon, 26 Jan 2026 22:25:29 +0000</pubDate>
				<category><![CDATA[Abstracts]]></category>
		<guid isPermaLink="false">https://iridology-research.com/?p=6324</guid>

					<description><![CDATA[<p>Abstract: Corresponding and unconventional medicine approaches have shown capacity for the treatment and diagnosis of chronic illnesses such as diabetes and arthritis. Concurrently, computer image treating approaches for illness detection have emerged as a reliable and quickly expanding sector in biomedical research. The purpose of this suggested model is to use soft computing approaches to assess the investigative validity of iridology, an ancient complementary and substitute medicine practice, for the diagnosis of type II diabetes. Methods: The study included a mixed population of diabetic and non-diabetic participants. Infrared pictures of both eyes were taken. In the iris picture the area of interest (ROI), which matches to the location of the pancreatic organ on the iridology chart, was clipped. CNN and CNN were used to extract features such as accuracy, sensitivity, specificity, difference variance, contrast, homogeneity, correlation, dissimilarity, and entropy. The collection included both a test iris database and real-time iris photographs. The CNN model obtained [...]</p>
<p>The post <a href="https://iridology-research.com/enhanced-diabetes-detection-through-cnn-svm-hybrid-architecture/">Enhanced Diabetes Detection Through CNN-SVM Hybrid Architecture</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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<h2>Abstract:</h2>
<div>Corresponding and unconventional medicine approaches have shown capacity for the treatment and diagnosis of chronic illnesses such as diabetes and arthritis. Concurrently, computer image treating approaches for illness detection have emerged as a reliable and quickly expanding sector in biomedical research. The purpose of this suggested model is to use soft computing approaches to assess the investigative validity of iridology, an ancient complementary and substitute medicine practice, for the diagnosis of type II diabetes. Methods: The study included a mixed population of diabetic and non-diabetic participants. Infrared pictures of both eyes were taken. In the iris picture the area of interest (ROI), which matches to the location of the pancreatic organ on the iridology chart, was clipped. CNN and CNN were used to extract features such as accuracy, sensitivity, specificity, difference variance, contrast, homogeneity, correlation, dissimilarity, and entropy. The collection included both a test iris database and real-time iris photographs. The CNN model obtained an extraordinary validation accuracy of 98.7 %, while the SVM model achieved 68.39 %. The CNN model&#8217;s performance measures were <span id="MathJax-Element-1-Frame" class="MathJax" tabindex="0"><span id="MathJax-Span-1" class="math"><span id="MathJax-Span-2" class="mrow"><span id="MathJax-Span-3" class="mtext">9 8. 7 %</span></span></span></span> accuracy, <span id="MathJax-Element-2-Frame" class="MathJax" tabindex="0"><span id="MathJax-Span-4" class="math"><span id="MathJax-Span-5" class="mrow"><span id="MathJax-Span-6" class="mtext">1 0 0 %</span></span></span></span> recall (sensitivity), and <span id="MathJax-Element-3-Frame" class="MathJax" tabindex="0"><span id="MathJax-Span-7" class="math"><span id="MathJax-Span-8" class="mrow"><span id="MathJax-Span-9" class="mtext">1 0 0 %</span></span></span></span> F1-score. The false negative and false positive ratios were both 0.0, demonstrating that the CNN model is very reliable and precise.</div>
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<div>Authors: Rashmi Badave; Ankita Avthankar; Poonam Sadafal; Rajashree Devidas Thosar; Pravin Rupnar; Vishal Borate</div>
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<div>Reference: <a href="https://ieeexplore.ieee.org/abstract/document/11211463">https://ieeexplore.ieee.org/abstract/document/11211463</a></div>
<p>The post <a href="https://iridology-research.com/enhanced-diabetes-detection-through-cnn-svm-hybrid-architecture/">Enhanced Diabetes Detection Through CNN-SVM Hybrid Architecture</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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		<title>A Case-Control Study to Determine the Correlation Between Obesity and Iris Markers</title>
		<link>https://iridology-research.com/a-case-control-study-to-determine-the-correlation-between-obesity-and-iris-markers-2/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Mon, 26 Jan 2026 22:22:36 +0000</pubDate>
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		<guid isPermaLink="false">https://iridology-research.com/?p=6322</guid>

					<description><![CDATA[<p><strong>Abstract:</strong></p>
<p>Obesity, characterized by excessive fat accumulation, arises from an imbalance between energy consumption and expenditure. It is a major risk factor for cardiovascular diseases, type 2 diabetes, and metabolic syndrome. In this retrospective case-control study, we examined the relationship between obesity and iris features frequently utilized in iridology, a practice that studies iris features to assess health conditions. We analyzed the correlation between iris markers and obesity obesity-related test results in 197 adults (99 obese, 98 normal-weight) using anonymized medical records and iris images. Obesity was defined as a BMI of 25 or higher. Trained practitioners examined iris images for<br /> markers such as lacunae around the autonomic nerve wreath (ANW), toxic spots around ANW, protrusion around ANW, and lacunae in the cardiac region. They evaluated each marker using a 0-2 grading system. Obese individuals showed more pronounced features, including lacunae and toxic spots around ANW. Normal-weighted individuals showed thicker and more protruded ANW [...]</p>
<p>The post <a href="https://iridology-research.com/a-case-control-study-to-determine-the-correlation-between-obesity-and-iris-markers-2/">A Case-Control Study to Determine the Correlation Between Obesity and Iris Markers</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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										<content:encoded><![CDATA[<p><strong>Abstract:</strong></p>
<p>Obesity, characterized by excessive fat accumulation, arises from an imbalance between energy consumption and expenditure. It is a major risk factor for cardiovascular diseases, type 2 diabetes, and metabolic syndrome. In this retrospective case-control study, we examined the relationship between obesity and iris features frequently utilized in iridology, a practice that studies iris features to assess health conditions. We analyzed the correlation between iris markers and obesity obesity-related test results in 197 adults (99 obese, 98 normal-weight) using anonymized medical records and iris images. Obesity was defined as a BMI of 25 or higher. Trained practitioners examined iris images for<br />
markers such as lacunae around the autonomic nerve wreath (ANW), toxic spots around ANW, protrusion around ANW, and lacunae in the cardiac region. They evaluated each marker using a 0-2 grading system. Obese individuals showed more pronounced features, including lacunae and toxic spots around ANW. Normal-weighted individuals showed thicker and more protruded ANW (suggesting increased sympathetic nervous system activity). These markers correlated with clinical measurements of obesity such as waist and hip circumference, visceral fat area, body fat mass, and percent body fat. Each iris marker tended to correlate with different test items. The results suggest that iridology could be utilized to identify obesity-related detailed pathophysiological factors. Iridology combined with<br />
advanced technologies such as deep learning and artificial intelligence may further improve early detection and personalized treatment approaches for obesity-related health issues, potentially making iridology a useful component in comprehensive obesity management programs.</p>
<p>References:</p>
<p>Ha-Kwon Kim1, Jungeun Choi1, Horyong Yoo1, Seong-Hwan Choi2, Seong-Il Park3,<br />
Hyun-Jung Park3, Miso S. Park1,4,*<br />
1 : Department of Cardiology and Neurology of Korean Medicine, College of Korean Medicine, Daejeon University,<br />
2 : Gao Korean Medicine Clinic, 3 : Dr. Park Seong-Il Clinic,<br />
4 : Clinical Trial Center, Daejeon Korean Medicine Hospital of Daejeon University</p>
<p>&nbsp;</p>
<p>The post <a href="https://iridology-research.com/a-case-control-study-to-determine-the-correlation-between-obesity-and-iris-markers-2/">A Case-Control Study to Determine the Correlation Between Obesity and Iris Markers</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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		<title>Pupil Flattening as a Diagnostic Marker for Intervertebral Disc Bulge: An Iridology-Based Approach</title>
		<link>https://iridology-research.com/pupil-flattening-as-a-diagnostic-marker-for-intervertebral-disc-bulge-an-iridology-based-approach/</link>
		
		<dc:creator><![CDATA[]]></dc:creator>
		<pubDate>Mon, 26 Jan 2026 22:02:12 +0000</pubDate>
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		<guid isPermaLink="false">https://iridology-research.com/?p=6320</guid>

					<description><![CDATA[<p>Abstract Intervertebral disc bulge (IVDB) is a prevalent spinal condition that significantly affects quality of life, yet current diagnostic methods can be expensive and not always easily accessible. This study explores the potential of pupil flattening as an iridological marker for IVDB. A case-control study was conducted with 60 IVDB patients and 60 healthy controls. High-resolution iris images were analyzed for pupil flattening, revealing a markedly higher prevalence in IVDB patients (88.3 % in the right iris, 81.7 % in the left iris) compared to controls (15 % in the right iris, 10 % in the left iris). ROC analysis demonstrated strong diagnostic accuracy, with AUC values of 0.79 for males (95 % CI: 0.60–0.98) and 0.88 (95 % CI: 0.78–0.99) for females. Sensitivity and specificity were particularly high in females, at 80 % and 97.62 %, respectively. These findings indicate that pupil flattening could serve as a non-invasive, cost-effective diagnostic tool for IVDB, offering a potential complement to existing diagnostic approaches. Results [...]</p>
<p>The post <a href="https://iridology-research.com/pupil-flattening-as-a-diagnostic-marker-for-intervertebral-disc-bulge-an-iridology-based-approach/">Pupil Flattening as a Diagnostic Marker for Intervertebral Disc Bulge: An Iridology-Based Approach</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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										<content:encoded><![CDATA[<div id="abstracts" class="Abstracts u-font-serif">
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<h2 class="section-title u-h4 u-margin-l-top u-margin-xs-bottom">Abstract</h2>
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<div id="sp0040" class="u-margin-s-bottom">Intervertebral disc bulge (IVDB) is a prevalent spinal condition that significantly affects quality of life, yet current diagnostic methods can be expensive and not always easily accessible. This study explores the potential of pupil flattening as an iridological marker for IVDB. A case-control study was conducted with 60 IVDB patients and 60 healthy controls. High-resolution iris images were analyzed for pupil flattening, revealing a markedly higher prevalence in IVDB patients (88.3 % in the right iris, 81.7 % in the left iris) compared to controls (15 % in the right iris, 10 % in the left iris). ROC analysis demonstrated strong diagnostic accuracy, with AUC values of 0.79 for males (95 % CI: 0.60–0.98) and 0.88 (95 % CI: 0.78–0.99) for females. Sensitivity and specificity were particularly high in females, at 80 % and 97.62 %, respectively. These findings indicate that pupil flattening could serve as a non-invasive, cost-effective diagnostic tool for IVDB, offering a potential complement to existing diagnostic approaches.</div>
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<h2 class="section-title u-h4 u-margin-l-top u-margin-xs-bottom">Results</h2>
<div id="p0050" class="u-margin-s-bottom">The demographic characteristics of the patients are summarized in Table 1. Predominantly, the study population consisted of females (n = 77, 64.2 %). The mean age of the patients was 45 years, with ages ranging from approximately 18–75 years. Iris flattening emerged as a highly prevalent lesion in patients with IVDB, affecting 73.3 % of cases (44 out of 60 patients), as detailed in Table 1. The clinical manifestations showed marked differences between IVDB and control groups.</div>
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<div>Authors: Y. Rosy Ayda a, Abinaya Suresh b, M. Alkousar Taz b, MaheshKumar Kuppysamy c.</div>
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<div>Reference: <a href="https://www.sciencedirect.com/science/article/abs/pii/S2212958825001636">https://www.sciencedirect.com/science/article/abs/pii/S2212958825001636</a></div>
<p>The post <a href="https://iridology-research.com/pupil-flattening-as-a-diagnostic-marker-for-intervertebral-disc-bulge-an-iridology-based-approach/">Pupil Flattening as a Diagnostic Marker for Intervertebral Disc Bulge: An Iridology-Based Approach</a> appeared first on <a href="https://iridology-research.com">Iridology Research</a>.</p>
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