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Sae-Ryung Kang

As seen in: Nature, Wiley Online Library, MDPI
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Articles

Prediction of immunochemotherapy response for diffuse large B‐cell lymphoma using artificial intelligence digital pathology

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By Jeong Hoon Lee, Ga-Young Song, Jonghyun Lee, Sae-Ryung Kang
| Wiley Online Library Verified
Introduction Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of aggressive non-Hodgkin lymphoma. In total, 60% of patients could be cured with rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP); however, the remaining 40% of patients with chemorefractory disease eventually relapse and have a dismal prognosis [1]. DLBCL poses a unique diagnostic challenge due to its inherent clinical and pathological heterogeneity.
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Survival Prediction Using Transformer-Based Categorical Feature Representation in the Treatment of Diffuse Large B-Cell Lymphoma

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By Sudarshan Pant, Sae-Ryung Kang, Minhee Lee, Pham-Sy Phuc
| MDPI
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Association of muscle and visceral adipose tissues with the probability of Alzheimer’s disease in healthy subjects

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By Kang-Ho Choi, Jahae Kim, Sang-Geon Cho, Sae-Ryung Kang
| Nature Verified
Abstract Increasing evidence indicates that sarcopenia and obesity can be risk factors for incident dementia. We investigated the association of body composition including muscle and visceral adipose tissue (VAT) with the probability of Alzheimer’s disease (AD) in healthy middle-aged and elderly subjects using 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT).
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