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

Aromatase Inhibitor Therapy Is Associated with Distinct Plasma Lipidomic Profiles in Postmenopausal Breast Cancer Patients

芳香化酶抑制剂治疗与绝经后乳腺癌患者独特的血浆脂质组学特征相关

Arsic, Aleksandra; Kvasnicka, Ales; Friedecky, David; Ivanovic, Nebojsa; Milosevic, Maja; Vucic, Vesna

Elevated adipose inflammation, but reduced hepatic triacylglycerol storage in diet-induced obese Plin4(-/-) mice.

饮食诱导肥胖的 Plin4(-/-) 小鼠出现脂肪组织炎症,但肝脏甘油三酯储存减少。

Doncheva Atanaska Ivanova, Higa Ryoko, Khanal Prabhat, Øksenvåg Ingebrigtsen Martine Villemo, Li Yuchuan, Kolan Shrikant, Kolan Pratibha, Kvasnicka Ales, Jermstad Ingunn, Khan Shaista, Skålhegg Bjørn Steen, Kolset Svein Olav, Nebb Hilde, Hjorth Marit, Norheim Frode Amador, Dalen Knut Tomas

Evolution of WHO diagnostic criteria in "Classical Myeloproliferative Neoplasms" compared with the International Consensus Classification

WHO“经典骨髓增生性肿瘤”诊断标准的演变与国际共识分类的比较

Thiele, Jürgen; Kvasnicka, Hans Michael; Gianelli, Umberto; Arber, Daniel A; Tefferi, Ayalew; Vannucchi, Alessandro M; Barbui, Tiziano; Orazi, Attilio

The utility of automated artificial intelligence-assisted digital cytomorphology for bone marrow analysis in diagnostic haemato-oncology

自动化人工智能辅助数字细胞形态学在诊断血液肿瘤学中骨髓分析的应用

Starostka, David; Dolezilek, Richard; Kvasnicka, Hans Michael; Kudelka, Milos; Miczkova, Petra; Kriegova, Eva; Kolacek, David; Sotkovska, Barbora; Anlauf, Tomas; Juranova, Jarmila; Chasakova, Katerina; Kolarova, Sona; Paprota, Michael; Buffa, David; Kovac, Peter; Zmatlo, Vit

Enhanced metabolomic predictions using concept drift analysis: identification and correction of confounding factors

利用概念漂移分析增强代谢组学预测:识别和校正混杂因素

Schwarzerova, Jana; Olesova, Dominika; Jureckova, Katerina; Kvasnicka, Ales; Kostoval, Ales; Friedecky, David; Sekora, Jiri; Pomenkova, Jitka; Provaznik, Valentyna; Popelinsky, Lubos; Weckwerth, Wolfram

Avapritinib reduces symptoms and mast cell burden in systemic mastocytosis

阿伐替尼可减轻系统性肥大细胞增生症的症状和肥大细胞负荷。

Nöldeke, Paula; Schmalz, Oliver; Kvasnicka, Hans; Panse, Jens; Hofmann, Silke C

How I diagnose and treat patients in the pre-fibrotic phase of primary myelofibrosis (pre-PMF) - practical approaches of a German expert panel discussion in 2024

如何诊断和治疗原发性骨髓纤维化前期(pre-PMF)患者——2024年德国专家小组讨论的实用方法

Griesshammer, Martin; Al-Ali, Haifa Kathrin; Eckardt, Jan-Niklas; Fiegl, Michael; Göthert, Joachim; Jentsch-Ullrich, Kathleen; Koschmieder, Steffen; Kvasnicka, Hans Michael; Reiter, Andreas; Schmidt, Burkhard; Heidel, Florian H

The Prevalence of the Thrombotic SNPs rs6025, rs1799963, rs2066865, rs2289252 and rs8176719 in Patients with Venous Thromboembolism in the Czech Population

捷克人群中静脉血栓栓塞患者血栓形成相关SNP rs6025、rs1799963、rs2066865、rs2289252和rs8176719的患病率

Kvasnicka, Tomas; Cifkova, Renata; Zenahlikova, Zuzana; Bobcikova, Petra; Syruckova, Alena; Sevcik, Martin; Dusková, Daniela; Kvasnicka, Jan

Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects

基于两阶段机器学习的方法预测人类非癌症及发育/生殖效应的起始点

Kvasnicka, Jacob; Aurisano, Nicolò; von Borries, Kerstin; Lu, En-Hsuan; Fantke, Peter; Jolliet, Olivier; Wright, Fred A; Chiu, Weihsueh A

Cardiovascular risk in myositis patients compared with the general population

肌炎患者与普通人群相比的心血管风险

Oreska, Sabina; Storkanova, Hana; Pekacova, Aneta; Kudlicka, Jaroslav; Tuka, Vladimir; Mikes, Ondrej; Krupickova, Zdislava; Satny, Martin; Chytilova, Eva; Kvasnicka, Jan; Spiritovic, Maja; Hermankova, Barbora; Cesak, Petr; Rybar, Marian; Pavelka, Karel; Senolt, Ladislav; Mann, Herman; Vencovsky, Jiri; Vrablik, Michal; Tomcik, Michal