Sang Mok Park

Electronics‐Free Visual Monitoring of Dry Eye Disease‐Related Tear Biomarkers Using Smart Scleral Lenses

Ziheng Wang, Sang Mok Park, Sang Mok Park, Dawn Meyer et autres

Dry eye disease (DED) is a prevalent ocular condition characterized by tear film instability, hyperosmolarity, inflammation, and neurosensory abnormalities. Its episodic and fluctuating nature complicates diagnosis and management, as conventional clinical assessments often fail to capture transient tear film changes. Although emerging …

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Ion‐Pair‐Tuned Ionogels for Broad‐Range Linear Pressure Sensing

Hyeonseo Joo, Tianhao Yu, Yumin Dai, Seokkyoon Hong et autres

Ionogels combine the mechanical softness of polymers with the ionic conductivity and nonvolatility of ionic liquids, offering a versatile platform for wearable electronics and sensing applications. In particular, their high deformability and ionic responsiveness make them attractive dielectric materials for capacitive pressure …

us, kr (code pays fourni par la source)

Noninvasive malaria risk stratification in school-age children using smartphone conjunctiva photography

Shaun G. Hong, Sang Mok Park, Semin Kwon, Haripriya Sakthivel et autres

Noninvasive malaria detection beyond blood sampling

Shaun G. Hong, Jung Woo Leem, Haripriya Sakthivel, Semin Kwon et autres

Malaria remains a major global health challenge, particularly in sub-Saharan Africa, despite being one of the oldest documented human diseases. Although blood-based detection remains the mainstream diagnostic modality, its use is constrained by the need for trained personnel, sterile procedures, patient discomfort, …

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Noninvasive Hemoglobin Quantification via Neural Network Optimization for Spectral Partialities

T. Kim, Semin Kwon, Sang Mok Park

Anemia affects approximately one-quarter of the global population. While its diagnosis typically relies on hemoglobin (Hgb) measurement through venous blood draws, such methods require access to clinical infrastructure and trained personnel, limiting accessibility in rural and resource-limited settings. In addition, invasive blood …

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Biophysics-informed Neural Networks of Conjunctiva Imaging for Noninvasive Anemia Assessments

T. Kim, Semin Kwon, Sang Mok Park

Anemia impacts approximately 25% of the global population and presents serious health concerns, especially for women, children, adolescents, and pregnant individuals. Conventional diagnosis relies on venous blood sampling and laboratory-based hemoglobin (Hgb) analysis, which necessitate specialized equipment and trained personnel. Unfortunately, such …

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Roll‐To‐Roll Production of Smart Dressings for Wound Monitoring

Ziheng Wang, Yujin Ahn, Semin Kwon, Tianhao Yu et autres

Chronic wounds require real-time monitoring to assess wound status and prevent complications. While colorimetric sensors provide a user-friendly, equipment-free approach with visible feedback, their clinical adoption is hindered by limited scalability, poor integration with commercial dressings, and susceptibility to interference from wound …

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Machine reading and recovery of colors for hemoglobin-related bioassays and bioimaging

Sang Mok Park, Semin Kwon, Yuhyun Ji, Haripriya Sakthivel et autres

Despite advances in machine learning and computer vision for biomedical imaging, machine reading and learning of colors remain underexplored. Color consistency in computer vision, color constancy in human perception, and color accuracy in biomedical imaging are intertwined, complicating digital color-based diagnostics. Existing …

us, kr (code pays fourni par la source)

Machine learning of blood haemoglobin and haematocrit levels via smartphone conjunctiva photography in Kenyan pregnant women: a clinical study protocol

Haripriya Sakthivel, Sang Mok Park, Semin Kwon, Eunice Kaguiri et autres

INTRODUCTION: Anaemia during pregnancy is a widespread health burden globally, especially in low- and middle-income countries, posing a serious risk to both maternal and neonatal health. The primary challenge is that anaemia is frequently undetected or is detected too late, worsening pregnancy …

us, Kenya (code pays fourni par la source)

Radiomic identification of anemia features in monochromatic conjunctiva photographs in school-age children

Sang Mok Park, Semin Kwon, Haripriya Sakthivel, Jung Woo Leem et autres

Significance: Anemia remains a substantial global health challenge. Delayed detection often leads to various health complications. In school-age children, anemia can impair both cognitive and physical development. Timely detection is particularly critical for this vulnerable population as effective interventions are available even …

us, Rwanda (code pays fourni par la source)

Hyperspectral learning of colors for mHealth applications

Sang Mok Park, Semin Kwon, Haripriya Sakthivel, Sreeram P. Nagappa et autres

Optical spectrometers provide detailed molecular and structural information, making them invaluable for a wide range of diagnostic applications. Traditionally, achieving high spectral resolution has relied on advanced hardware solutions, which limits practicality and affordability. We introduce hybrid machine learning frameworks that reconstruct …

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Tissue optics-informed blood hemoglobin assessment for advancing sickle cell care

Sang Mok Park, Semin Kwon, Haripriya Sakthivel, Andrew Pucka et autres

Blood hemoglobin testing is a common clinical laboratory procedure but typically involves invasive sampling, leading to potential blood loss. While noninvasive technologies are emerging, their accuracy often does not match that of clinical laboratory tests. Optical spectroscopy provides reliable hemoglobin measurements but …

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