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'big data' 에 대한 통합검색결과 57건입니다.

한빛사57건

최신순
관련도순

- 김성은(서울대학교)
  Interview
- Martin Steinegger(서울대학교)
BFVD-a large repository of predicted viral protein structures
- Nucleic Acids Res. Nov 22 2024, gkae1119 | https://doi.org/10.1093/nar/gkae1119
- 2024.11
- 생명과학
HepScope: CNN-based single-cell discrimination of malignant hepatocytes
- J. Big Data 27 October 2024;11,149 | https://doi.org/10.1186/s40537-024-01024-2
- 2024.10
- 의약학
고윤진

아주대학교 의과대학

Our study centers on hepatocellular carcinoma, which is the most prevalent form of liver cancer, ranking as the sixth most common and third most lethal cancer globally. Despite advancements in treatment modalities, the prognosis of HCC remains bleak due to its heterogeneity. Hence, we aimed to develop a novel gene set and AI tool to identify malignant hepatocytes in scRNA-seq data, thereby addressing the lack of existing biomarkers and computational tools and contributing to the discovery of therapeutic targets.
- J. Big Data
- 2024.10.30
Advance computational tools for multiomics data learning
- Biotechnol. Adv. Sep 07 2024, S0734-9750(24)00141-1 | https://doi.org/10.1016/j.biotechadv.2024.108447
- 2024.09
- 생명과학
Big data and deep learning for RNA biology
- Exp. Mol. Med. Jun 14 2024, | https://doi.org/10.1038/s12276-024-01243-w
- 2024.06
- 생명과학
KoNA: Korean Nucleotide Archive as A New Data Repository for Nucleotide Sequence Data
- Genom. Proteomics Bioinformatics May 09 2024, 22 (1) qzae017 | https://doi.org/10.1093/gpbjnl/qzae017
- 2024.05
황태현

연세대학교 의과대학

심방세동(Atrial fibrillation)은 가장 흔한 부정맥 질환 중 하나입니다. 고령화 사회의 진행으로 인해 심방세동의 유병률과 발생률이 증가하고 있으며, 이로 인해 동반된 합병증과 사망률 및 사회적 비용도 증가하고 있습니다. 심방세동을 치료하기 위한 방법 중에 시술적인 치료 방법이 있으며, 그 근간에는 심방세동의 원인으로 생각되는 폐정맥을 목표로 전기적으로 고립시키는 폐정맥고립술 (pulmonary vein isolation)이 있습니다.
- npj Digit. Med.
- 2024.04.03
- 최동희(University of California San Diego)
Advancing the scale of synthetic biology via cross-species transfer of cellular functions enabled by iModulon engraftment
- Nat. Commun. Mar 15 2024, 15 (1) 2356 | https://doi.org/10.1038/s41467-024-46486-3
- 2024.03
- 생명과학
- Steven Kim(California State University)
- 허성(공주대학교)
An agricultural digital twin for mandarins demonstrates the potential for individualized agriculture
- Nat. Commun. Feb 20 2024, 15 (1) | https://doi.org/10.1038/s41467-024-45725-x
- 2024.02
- 생명과학
정현애

성균관대학교 의과대학

해당 연구는 Clinical datawarehouse 를 이용하여, medical data를 수집하는 다기관 연구입니다. National registry data를 이용한 연구들은 많이 이루어져 왔지만, 데이터의 업데이트가 어려우며, 기 수집된 데이터 이외에 연구를 위하여 필요한 추가적인 데이터를 수집하기가 어렵다는 단점이 있었습니다. Clinical datawarehouse 는 medical big data 를 수집하고, 분석하는 데에 있어 자동 업데이트가 되고...
- JAMA Netw. Open
- 2024.02.27
정치욱

울산대학교 의과대학, 강릉아산병원

류마티스 관절염 (rheumatoid arthritis, RA)은 주로 관절에 침범하지만, 전신의 모든 장기를 침범할 수 있는 만성 염증성 질환입니다. 폐는 RA에서 가장 흔하게 침범되는 extra-articular organ으로 잘 알려져 있으며, 임상적으로는 많은 경우에 간질성 폐질환 (interstitial lung disease)으로 발현하는 것으로 잘 알려져 있습니다.
- Chest
- 2024.02.22
Influence of procedural volume on the outcome of gastric endoscopic submucosal dissection: A nationwide population-based study using administrative da
- Gastroenterology Dec 18 2023, S0016-5085(23)05606-8 | https://doi.org/10.1053/j.gastro.2023.12.010
- 2023.12
- 의약학
Muhammad Junaid

아주대학교

In this study, we innovatively applied the retrograde nuclear Connect-seq (nuConnect-seq) technique to analyze hypothalamic neurocircuits at the molecular level. The core achievement of our research lies in integrating diverse single-cell RNA sequencing (scRNA-seq) datasets and employing label transfer techniques for validation.
- Sci. Data
- 2023.12.05
- 정은아(숙명여자대학교)
- 윤석준(숙명여자대학교)
Current advances in comprehensive omics data mining for oncology and cancer research
- Biochim. Biophys. Acta-Rev. Cancer Nov 24 2023, S0304-419X(23)00179-8 | https://doi.org/10.1016/j.bbcan.2023.189030
- 2023.11
고대관

Michigan State University

안녕하세요? 저는 Michigan State University에 있는, Plant Research Laboratories (https://prl.natsci.msu.edu) (MSU-PRL)에서 Assistant Professor ? Fixed Term 포지션으로 있는 고대관이라고 합니다. Endoplasmic reticulum (ER)은 중요한 세포 소기관으로서, 세포내의 여러가지 대사작용과 신호전달 과정에 중추적인 역할을 담당하고 있습니다.
- Nat. Plants
- 2023.08.11
Severe coronavirus disease 2019 in pediatric solid organ transplant recipients: Big data convergence study in Korea (K-COV-N cohort)
- Int. J. Infect. Dis. 2023 Jun 21;S1201-9712(23)00640-9 | https://doi.org/10.1016/j.ijid.2023.06.016
- 2023.06
- 의약학
Prediction model for postoperative quality of life among breast cancer survivors along the survivorship trajectory from pretreatment to 5 years: Machi
- JMIR Public Health Surveill. 2023 Jun 13 | doi: 10.2196/45212
- 2023.06
- 의약학
Induction of ER stress-mediated apoptosis through SOD1 upregulation by deficiency of CHI3L1 inhibits lung metastasis
- Theranostics 2023 Apr 29;13(8):2693-2709 | doi: 10.7150/thno.82898
- 2023.04
- 의약학
Mai Thi Xuan Tran

한양대학교 의과대학

1. 논문관련 분야의 소개, 동향, 전망을 설명, 연구과정에서 생긴 에피소드 ?Our study was using the National Breast Cancer Screening data embedded under the National Health Insurance Service- National Health Information Database, which is the healthcare big data platform in Korea. The paper was recently published in the journal JAMA Network Open. ?Briefly, the study examined the relationship between family history of breast cancer and changes in breast density over time in Korean women. We found that women with a family history of breast cancer had higher breast density and were more likely to have an increase in breast density over time compared to women without a family history of breast cancer. Our findings of this study suggest that women with a family history of breast cancer may benefit from more frequent breast cancer screening and monitoring of breast density changes over time. However, further research is needed to confirm these findings and to determine the optimal screening and monitoring strategies for this population. This paper is a small part of our ongoing project working on developing and validating a new breast cancer risk prediction targeting for Korean women. 2. 연구를 진행했던 소속기관 또는 연구소에 대해 소개 부탁드립니다. ?This paper was a collaboration between researchers from two institutions: the Department of Preventive Medicine at Hanyang University College of Medicine and Kangbuk Samsung Hospital, a part of the Sungkyunkwan University School of Medicine. My co-first author, Prof. Yoosoo Chang, is a well-known researcher and physician at Kangbuk Samsung Hospital who has published many research articles in various medical journals, particularly in the field of metabolic disorders such as diabetes and obesity. I also received help from my colleague Dr. Soyeoun Kim, who provided valuable feedback on the research. ?Furthermore, this work was completed under the guidance of Prof. Boyoung Park from Hanyang University an
- JAMA Netw. Open
- 2023.03.28
Machine learning-guided prediction of potential engineering targets for microbial production of lycopene
- Bioresour. Technol. Volume 369, February 2023 | https://doi.org/10.1016/j.biortech.2022.128455
- 2023.02
- 생명과학