日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Artificial intelligence accelerates the interpretation of measurable residual B lymphoblastic leukemia by flow cytometry

人工智能加速了通过流式细胞术对可测量的残留B淋巴母细胞白血病进行解读

Seheult, Jansen N; Otteson, Gregory E; Timm, Michael M; Weybright, Matthew J; Shi, Min; Olteanu, Horatiu; Jevremovic, Dragan; Chen, Chuan; Chiu, April; Horna, Pedro

Clinical Validation and Post-Implementation Performance Monitoring of a Neural Network-Assisted Approach for Detecting Chronic Lymphocytic Leukemia Minimal Residual Disease by Flow Cytometry

利用流式细胞术检测慢性淋巴细胞白血病微小残留病灶的神经网络辅助方法的临床验证和实施后性能监测

Seheult, Jansen N; Otteson, Gregory E; Weybright, Matthew J; Timm, Michael M; Han, Wenchao; Jevremovic, Dragan; Horna, Pedro; Olteanu, Horatiu; Shi, Min

Measurable Residual Disease Analysis by Flow Cytometry: Assay Validation and Characterization of 385 Consecutive Cases of Acute Myeloid Leukemia.

流式细胞术可测量残留疾病分析:385 例连续急性髓系白血病病例的检测验证和表征

Jum'ah Husam A, Otteson Gregory E, Timm Michael M, Weybright Matthew J, Shi Min, Horna Pedro, Jevremovic Dragan, Reichard Kaaren K, Olteanu Horatiu

Real-life sensitivity of flow cytometry minimal residual disease assessment for plasma cell neoplasms

流式细胞术评估浆细胞肿瘤微小残留病灶的实际敏感性

Jevremovic, Dragan; Shi, Min; Horna, Pedro; Otteson, Gregory E; Timm, Michael M; Baughn, Linda B; Greipp, Patricia T; Gonsalves, Wilson I; Kapoor, Prashant; Gertz, Morie A; Binder, Moritz; Buadi, Francis K; Zhou, Jiehao; Dispenzieri, Angela; Kourelis, Taxiarchis; Muchtar, Eli; Rajkumar, S Vincent; Kumar, Shaji K; Olteanu, Horatiu

Utility of flow cytometry screening before MRD testing in multiple myeloma

在多发性骨髓瘤的微小残留病检测之前进行流式细胞术筛查的实用性

Panakkal, Vandana; Lakshman, Arjun; Shi, Min; Olteanu, Horatiu; Horna, Pedro; Timm, Michael M; Otteson, Gregory E; Baughn, Linda B; Greipp, Patricia T; Gonsalves, Wilson I; Kapoor, Prashant; Gertz, Morie A; Binder, Moritz; Buadi, Francis K; Dispenzieri, Angela; Rajkumar, S Vincent; Kumar, Shaji K; Jevremovic, Dragan

Evaluation of multiple myeloma measurable residual disease by high sensitivity flow cytometry: An international harmonized approach for data analysis

利用高灵敏度流式细胞术评估多发性骨髓瘤可测量残留病灶:一种国际统一的数据分析方法

Soh, Kah Teong; Came, Neil; Otteson, Gregory E; Jevremovic, Dragan; Shi, Min; Olteanu, Horatiu; Natoni, Alessandro; Lagoo, Anand; Theakston, Edward; Óskarsson, Jón Þórir; Gorniak, Malgorzata; Grigoriadis, George; Arroz, Maria; Fletcher, Matthew; Lin, Pei; Ludwig, Peter; Tembhare, Prashant; Matuzeviciene, Reda; Radzevicius, Mantas; Kay, Sigi; Chen, Weina; Cabrita, Carina; Wallace, Paul K