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

[(68)Ga]Ga-NODAGA-RGD post MI reflects activated fibroblasts rather than angiogenesis.

[(68)Ga]Ga-NODAGA-RGD 心肌梗死后反映的是活化的成纤维细胞,而不是血管生成。

Raitza Matti, Wolfien Markus, Lemcke Heiko, Gäbel Ralf, Vasudevan Praveen, Schweins Moritz, Lindner Tobias, Joksch Markus, Schildt Anna, Kurth Jens, Glass Änne, Öner Alper, Ince Hüseyin, Meinel Felix G, Krause Bernd Joachim, Vollmar Brigitte, David Robert, Lang Cajetan Immanuel

Age-stratified machine learning identifies divergent prognostic significance of molecular alterations in AML

基于年龄分层的机器学习方法揭示了急性髓系白血病中分子改变的不同预后意义。

Eckardt, Jan-Niklas; Hahn, Waldemar; Ries, Rhonda E; Chrost, Szymon D; Winter, Susann; Stasik, Sebastian; Röllig, Christoph; Platzbecker, Uwe; Müller-Tidow, Carsten; Serve, Hubert; Baldus, Claudia D; Schliemann, Christoph; Schäfer-Eckart, Kerstin; Hanoun, Maher; Kaufmann, Martin; Burchert, Andreas; Schetelig, Johannes; Bornhäuser, Martin; Wolfien, Markus; Meshinchi, Soheil; Thiede, Christian; Middeke, Jan Moritz

User-centered design approach to visualize PROMs for molecular tumor boards

以用户为中心的设计方法,用于可视化分子肿瘤委员会的患者报告结局指标 (PROMs)。

Bäcker, Sara; Sedlmayr, Brita; Goldammer, Miriam; Schuler, Katharina; Zerlik, Maria; Strantz, Cosima; Unberath, Philipp; Gräßel, Linda; Sedlmayr, Martin; Wolfien, Markus

Phase-specific kidney graft failure prediction with machine learning model

利用机器学习模型进行特定阶段的肾移植失败预测

Salybekov, Amankeldi A; Wolfien, Markus; Yerkos, Ainur; Buribayev, Zholdas; Hidaka, Sumi; Kobayashi, Shuzo

Epigenomic Echoes-Decoding Genomic and Epigenetic Instability to Distinguish Lung Cancer Types and Predict Relapse

表观基因组回声——解码基因组和表观遗传不稳定性以区分肺癌类型并预测复发

Baumann, Alexandra A; Buribayev, Zholdas; Wolkenhauer, Olaf; Salybekov, Amankeldi A; Wolfien, Markus

Challenges and applications in generative AI for clinical tabular data in physiology

生成式人工智能在生理学临床表格数据处理中的挑战与应用

Umesh, Chaithra; Mahendra, Manjunath; Bej, Saptarshi; Wolkenhauer, Olaf; Wolfien, Markus

Ethics and Algorithms to Navigate AI's Emerging Role in Organ Transplantation

伦理与算法:如何驾驭人工智能在器官移植中日益重要的作用

Salybekov, Amankeldi A; Yerkos, Ainur; Sedlmayr, Martin; Wolfien, Markus

TCGADownloadHelper: simplifying TCGA data extraction and preprocessing

TCGADownloadHelper:简化 TCGA 数据提取和预处理

Baumann, Alexandra Anke; Wolkenhauer, Olaf; Wolfien, Markus

Mimicking clinical trials with synthetic acute myeloid leukemia patients using generative artificial intelligence

利用生成式人工智能模拟合成急性髓系白血病患者的临床试验

Eckardt, Jan-Niklas; Hahn, Waldemar; Röllig, Christoph; Stasik, Sebastian; Platzbecker, Uwe; Müller-Tidow, Carsten; Serve, Hubert; Baldus, Claudia D; Schliemann, Christoph; Schäfer-Eckart, Kerstin; Hanoun, Maher; Kaufmann, Martin; Burchert, Andreas; Thiede, Christian; Schetelig, Johannes; Sedlmayr, Martin; Bornhäuser, Martin; Wolfien, Markus; Middeke, Jan Moritz

Identification of key factors for malnutrition diagnosis in chronic gastrointestinal diseases using machine learning underscores the importance of GLIM criteria as well as additional parameters

利用机器学习识别慢性胃肠道疾病营养不良诊断的关键因素,凸显了GLIM标准以及其他参数的重要性。

Rischmüller, Karen; Caton, Vanessa; Wolfien, Markus; Ehlers, Luise; van Welzen, Matti; Brauer, David; Sautter, Lea F; Meyer, Fatuma; Valentini, Luzia; Wiese, Mats L; Aghdassi, Ali A; Jaster, Robert; Wolkenhauer, Olaf; Lamprecht, Georg; Bej, Saptarshi