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Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine

Ahn JS, Shin S, Yang SA, Park EK, Kim KH, Cho SI, Ock CY, Kim S

Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise of artificial intelligence...
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Understanding of Pathomechanisms and Clinical Practice for Vitiligo

Tanemura A

Vitiligo is a disease caused by the acquired depletion of melanocytes and/or melanocyte precursor cells in response to genetic and environmental factors, resulting in depigmentation of the entire body. It...
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Recent Update of Targeted Therapy in Cholangiocarcinoma

Lee J, Kim DU

Cholangiocarcinoma (CCA) is one of the cancers with the worst prognosis. Its incidence and mortality have increased in recent years, but treatment options are limited. Although various clinical trials have...
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Efficacy of Olaparib in Treatment-Refractory, Metastatic Breast Cancer with Uncommon Somatic BRCA Mutations Detected in Circulating Tumor DNA

Yoon JK, Ahn J, Kim S, Kim HP, Kang Jk, Bang D, Lim Y, Kim TY

Poly(ADP-ribose) polymerase inhibitors have been shown dramatic responses in patients with BRCAness. However, clinical studies have been limited to breast cancer patients with germline mutations. Here, we describe a patient...
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Precision Medicine in Head and Neck Cancer

Park Hs, Kang JH

Technological advancement in human genome analysis and ICT (information & communication technologies) brought ‘precision medicine’ into our clinical practice. Precision medicine is a novel medical approach that provides personalized treatments...
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Genetic Factors in the Screening and Imaging for Breast Cancer

Kim J, Haffty BG

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Opening the Precision Diabetes Care through Digital Healthcare

Lee J, Yu J, Yoon KH

The national healthcare systems of every country in the world cannot sustain the rise in healthcare expenditure caused by chronic diseases and their complications. To sustain the national healthcare system,...
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Eating, diet, and nutrition for the treatment of non-alcoholic fatty liver disease

Semmler G, Datz C, Trauner M

Nutrition and dietary interventions are a central component in the pathophysiology, but also a cornerstone in the management of patients with non-alcoholic fatty liver disease (NAFLD). Summarizing our rapidly advancing...
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Strategy of Patient-Specific Therapeutics in Cardiovascular Disease Through Single-Cell RNA Sequencing

Jung Y, Kim J, Jang H, Kim G, Kwon YW

Recently, single cell RNA sequencing (scRNA-seq) technology has enabled the discovery of novel or rare subtypes of cells and their characteristics. This technique has advanced unprecedented biomedical research by enabling...
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Immunologic Basis of Type 2 Biologics for Severe Asthma

Sim S, Choi Y, Park HS

Asthma is a chronic airway inflammatory disease characterized by reversible airway obstruction and airway hyperreactivity to various environmental stimuli, leading to recurrent cough, dyspnea, and wheezing episodes. Regarding inflammatory mechanisms,...
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Machine Learning vs. Statistical Model for Prediction Modelling: Application in Medical Imaging Research

Ryu L, Han K

Clinical prediction models has been increasingly published in radiology research. In particular, as a radiomics research is being actively conducted, the prediction model is developed based on the traditional statistical...
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Update on Diagnosis and Treatment of Colorectal Cancer

Kim CW

The rate of colorectal cancer (CRC) has altered. Early-onset CRC patients are increasing, and it is one of the main causes of cancer-related death. Based on epidemiologic change, the CRC...
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Clinical Implication of Molecular Tumor Board

Lee S

Due to rapid technical advances, steeply declining sequencing costs, and the ever-increasing number of targeted therapies, it is expected that extensive tumor DNA or RNA sequencing will be applied in...
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Imaging Findings of  18F‑Choline and  18F‑DOPA PET/MRI in a Case of Glioblastoma Multiforme Pseudoprogression: Correlation with Clinical Outcome

Filippi L, Spanu A, Bagni O, Schillaci O, Palumbo B

We describe the case of 74-year-old-male, previously treated with fronto-parietal craniotomy due to primary glioblastoma multiforme (GBM), followed by concurrent radiation therapy (RT) and temozolomide (TMZ) chemotherapy. Magnetic resonance imaging...
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Clinical Application of Next-Generation Sequencing in Patients With Breast Cancer: Real-World Data

Suh KJ, Kim SH, Kim YJ, Shin H, Kang E, Kim EK, Lee S, Woo JW, Na HY, Ahn S, Jang BS, Kim IA, Park SY, Kim JH

Purpose: Next-generation sequencing (NGS)-based tumor panel testing has been reimbursed by the Korean government since 2017. We evaluated the use of NGS-based tumor panel testing in real-world clinical practice, focusing...
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Deep learning-based prediction of molecular cancer biomarkers from tissue slides: A new tool for precision oncology

Lee SH, Jang HJ

Molecular tests are necessary to stratify cancer patients for targeted therapy. However, high cost and technical barriers limit the application of these tests, hindering optimal treatment. Recently, deep learning (DL)...
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Maturity-Onset Diabetes of the Young (MODY)

Park SS, Kwak SH

Precision medicine, which optimizes diagnosis and treatment of diseases according to individualized characteristics, is becoming a reality in the field of diabetes, especially for monogenic diabetes. Maturityonset diabetes of the...
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Establishment of Patient-Derived Gastric Cancer Organoid Model From Tissue Obtained by Endoscopic Biopsies

Song H, Park JY, Kim JH, Shin TS, Hong SA, Huda MN, Kim BJ, Kim JG

Cancer organoids are three-dimensional mini-organ analogues derived from cancer tissues and have been proposed as models capable of simulating the structure and function of human organs and tissues in vitro....
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Precision Medicine in Type 2 Diabetes

Jeon E

Precision medicine is an innovative approach to tailoring disease prevention and treatment that takes into account differences in people’s genes, environments, and lifestyle patterns. The aim of such an approach...
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Concept and Proof of the Lifelog Bigdata Platform for Digital Healthcare and Precision Medicine on the Cloud

Lee KH, Urtnasan E, Hwang S, Lee HY, Lee JH, Koh SB, Youk H

Purpose: We propose the Lifelog Bigdata Platform as a sustainable digital healthcare system based on individual-centric lifelog datasets and describe the standardization of lifelog and clinical data in its full-cycle...
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