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

Machine Learning-Based Prediction of Distant Recurrence Risk and Ribociclib Treatment Effect in HR+/HER2- Early Breast Cancer Using Real-World and NATALEE Data

利用真实世界数据和NATALEE数据,基于机器学习预测HR+/HER2-早期乳腺癌远处复发风险和瑞博西尼治疗效果

Howard, Frederick M; Fasching, Peter A; Santa-Maria, Cesar A; Lim, Elgene; Sparano, Joseph A; Lustberg, Maryam B; Bachelot, Thomas; Blyuss, Oleg; Brezden-Masley, Christine; Park, Yeon Hee; Akdere, Murat; Ye, Fen; Pantoja, Kristyn; Kurz, Christoph; Dominguez Castro, Patricia; Razavi, Pedram

Active Monitoring, Surgery, and Radiotherapy for Cribriform-Positive and Cribriform-Negative Prostate Cancer: A Secondary Analysis of the PROTECT Randomized Clinical Trial

对筛状细胞阳性和筛状细胞阴性前列腺癌进行主动监测、手术和放射治疗:PROTECT随机临床试验的二次分析

Sushentsev, Nikita; Warren, Anne Y; Colling, Richard; Verrill, Clare; Pazukhina, Ekaterina; Blyuss, Oleg; Seibert, Tyler M; Barrett, Tristan; Mills, Ian G; Bryant, Richard J; Donovan, Jenny L; Neal, David E; Hamdy, Freddie C

Aspartate aminotransferase-to-platelet ratio index (APRI) for staging of fibrosis in adults with chronic hepatitis C

天冬氨酸氨基转移酶与血小板比值指数(APRI)用于成人慢性丙型肝炎纤维化分期

Dreytser, Ekaterina; Blyuss, Oleg; Mudrova, Anastasiya; Turankova, Taisiia; Gurusamy, Kurinchi Selvan; Pavlov, Chavdar S

Bile acids for metabolic dysfunction-associated steatotic liver disease in adults

胆汁酸用于治疗成人代谢功能障碍相关性脂肪肝

Ashmawy, Rehab E; Blyuss, Oleg; Nikolova, Dimitrinka; Pavlov, Chavdar S; Gluud, Christian; Andrenacci, Paola J

Systematic scoping review of external validation studies of AI pathology models for lung cancer diagnosis

对用于肺癌诊断的人工智能病理模型外部验证研究进行系统性范围界定综述

Arun, Soumya; Grosheva, Mariia; Kosenko, Mark; Robertus, Jan Lukas; Blyuss, Oleg; Gabe, Rhian; Munblit, Daniel; Offman, Judith

Novel efficient reservoir computing methodologies for regular and irregular time series classification

用于规则和不规则时间序列分类的新型高效储层计算方法

Li, Zonglun; Andreev, Andrey; Hramov, Alexander; Blyuss, Oleg; Zaikin, Alexey

Synolitic Graph Neural Networks of High-Dimensional Proteomic Data Enhance Early Detection of Ovarian Cancer

基于高维蛋白质组学数据的Synolitic图神经网络可增强卵巢癌的早期检测

Zaikin, Alexey; Sviridov, Ivan; Oganezova, Janna G; Menon, Usha; Gentry-Maharaj, Aleksandra; Timms, John F; Blyuss, Oleg

Post-COVID-19 Condition Prediction in Hospitalised Cancer Patients: A Machine Learning-Based Approach

基于机器学习的住院癌症患者新冠肺炎后状况预测方法

Mahvash Mohammadi, Sara; Rumyantsev, Mikhail; Abdeeva, Elina; Baimukhambetova, Dina; Bobkova, Polina; El-Taravi, Yasmin; Pikuza, Maria; Trefilova, Anastasia; Zolotarev, Aleksandr; Andreeva, Margarita; Iakovleva, Ekaterina; Bulanov, Nikolay; Avdeev, Sergey; Pazukhina, Ekaterina; Zaikin, Alexey; Kapustina, Valentina; Fomin, Victor; Svistunov, Andrey A; Timashev, Peter; Avdeenko, Nina; Ivanova, Yulia; Fedorova, Lyudmila; Kondrikova, Elena; Turina, Irina; Glybochko, Petr; Butnaru, Denis; Blyuss, Oleg; Munblit, Daniel; Sechenov StopCOVID Research Team

Improving the Potential for Predicting Prostate Cancer Progression in Patients on Active Surveillance Using Explainable Artificial Intelligence

利用可解释人工智能提高对接受积极监测的前列腺癌患者病情进展的预测能力

Vershinina, Olga; Sushentsev, Nikita; Zaikin, Alexey; Blyuss, Oleg; Barrett, Tristan; Ivanchenko, Mikhail

A 10-year analysis of MRI-driven prostate cancer diagnosis and active surveillance: trends and implications

一项为期10年的MRI引导下前列腺癌诊断和主动监测分析:趋势和意义

Sushentsev, Nikita; Comune, Rosita; Sinci, Kazim Ayberk; Blyuss, Oleg; Caglič, Iztok; Kastner, Christof; Barrett, Tristan