최홍미 교수
Hong-Mi Choi
서울대학교 · 의학
연구실 소개
최홍미 교수의 연구실은 심 heart failure와 관련된 진단, 치료, 예후 예측을 위한 종합적 연구를 수행하고 있습니다. 특히 심장마비 환자의 생존율 향상과 장기적 관리 전략 개발을 목표로, 심장 자기공명영상(MRI)을 활용한 심장섬유화 평가, 생체마커 및 유전자 검사에 기반한 위험도 분류, 그리고 새로운 약물 치료(예: 사카비르릴/발사르탄)의 임상 적용에 중점을 두고 있습니다. 또한 심부전의 다양한 유형, 특히 비정상적 심장기능과 관련된 병태생리학적 변화에 대한 기초 및 임상 연구를 지속적으로 전개하고 있습니다.
연구 현황
연구 성과 추이
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주요 논문
15Heart failure (HF) is an important cardiovascular disease because of its increasing prevalence, significant morbidity, high mortality, and rapidly expanding health care cost. The number of HF patients is increasing worldwide, and Korea is no exception. There have been marked advances in definition, diagnostic modalities, and treatment of HF over the past four decades. There is continuing effort to improve risk stratification of HF using biomarkers, imaging and genetic testing. Newly developed me
It is shown that for a given p (1<p<or=n), the n-cube network can tolerate up to p2/sup (n-p)/-1 processor failures and remains connected provided that at most p neighbors of any nonfaulty processor are allowed to fail. This generalizes the result for p=n-1, obtained by A.-M Esfahanian (1989). It is also shown that the n-cube network with n>or=5 remains connected provided that at most two neighbors of any processor are allowed to fail.<<ETX>>
Network survivability is a crucial requirement in high-speed optical networks. Typical approaches of providing survivability have considered the failure of a single component such as a link or a node. We motivate the need for considering double-link failures and present three loopback methods for handling such failures. In the first two methods, two edge-disjoint backup paths are computed for each link for rerouting traffic when a pair of links fails. These methods require the identification of
As the commercial success of the IEEE 802.11 protocol has made wireless infrastructure widely deployed, user organizations are increasingly concerned about the new vulnerabilities to their networks. While various security issues have been extensively studied, the threats posed by denial-of-service (DoS) attacks have not been fully exploited. In this paper, we consider DoS attacks posed by cheating on the backoff rules in the IEEE 802.11 DCF protocol and propose a scheme detecting such adversarie
Fault identification and localization problems in optical networks have become crucial. Due to network transparency and high data rates, optical networks are vulnerable to sophisticated attacks on the physical infrastructure, and hence require adequate fault monitoring in order to accurately identify and locate network failures. In transparent optical networks, faults may propagate to various parts of the network from the origin, and multiple alarms can be generated for a single failure. In orde
Myocardial fibrosis in HCM is a progressive phenomenon. Non-apical phenotype and a higher LGE extent at CMR-1 are both associated with greater LGE progression.
This corrects the article "Update on heart failure management and future directions" in volume 34 on page 11.
Heart failure (HF) is a growing health concern in aging societies worldwide. Sacubitril/valsartan is changing the real-world treatment in the whole spectrum of HF. The beginning was the PARADIGM-HF trial published in 2014, which demonstrated the beneficial effects of inhibiting natriuretic peptide breakdown in combination with hindering the renin-angiotensin system in HF patients with a reduced ejection fraction. Subsequent large-scale randomized trials have evaluated angiotensin receptor-nepril
Postoperative, but not preoperative, IST and concomitant ARR were independent predictors of less development of PVL. Special attention is required for early diagnosis BD-related AR, especially in patients not satisfying the current diagnostic criteria.
Left ventricular (LV) global longitudinal strain (LVGLS) is versatile; however, it is difficult to obtain. We evaluated the potential of an artificial intelligence (AI)-generated electrocardiography score for LVGLS estimation (ECG-GLS score) to diagnose LV systolic dysfunction and predict prognosis of patients with heart failure (HF). A convolutional neural network-based deep-learning algorithm was trained to estimate the echocardiography-derived GLS (LVGLS). ECG-GLS score performance was evalua
Takayasu's arteritis is a chronic inflammatory disorder that mainly involves medium to large sized arteries. Although pulmonary artery involvement is reported with a prevalence of about 10% to 50%, its clinical significance is underestimated. We report here one case of Takayasu's arteritis complicated by severe pulmonary hypertension due to right main pulmonary artery total occlusion.
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