6,121 results on '"Ferdinandy, P."'
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2. Effects of sex and obesity on immune checkpoint inhibition-related cardiac systolic dysfunction in aged mice
3. Empagliflozin prevents heart failure through inhibition of the NHE1-NO pathway, independent of SGLT2
4. NASH triggers cardiometabolic HFpEF in aging mice
5. Immune checkpoints in cardiac physiology and pathology: therapeutic targets for heart failure
6. Sodium–glucose cotransporter 2 inhibitors and the cancer patient: from diabetes to cardioprotection and beyond
7. Cellular Alterations in Immune Checkpoint Inhibitor Therapy-Related Cardiac Dysfunction
8. Reduced circulating CD63+ extracellular vesicle levels associate with atherosclerosis in hypercholesterolaemic mice and humans
9. Ferdinandy, György. 2016. Fekete karácsony (‘Black Christmas’). Budapest: Fókusz Egyesület/Magyar Napló Kiadó. 203 pp. Photos.
10. Reduced circulating CD63+ extracellular vesicle levels associate with atherosclerosis in hypercholesterolaemic mice and humans
11. People follow motivation-structural rules when they react to synthetised sounds
12. Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality
13. MIGUEL DE FERDINANDY, Carlos V, su alma y su política. El último caballero de Europa, Barcelona, Áltera, 2005, 233 págs, ISBN: 978-84- 96840-27-0
14. People follow motivation-structural rules when they react to synthetised sounds
15. Ferdinandy, György. 2013. Mélyebbre - elbeszélések, jegyzetek (Dig Deeper – Short Stories and Notes). Budapest: Magyar Napló. 296 pp.
16. Prediction of COVID‐19 severity using machine learning
17. Inhibition of MMP2 activity mitigates N-omega-nitro-l-arginine-methyl ester (l-NAME)-induced right heart failure
18. High neutrophil-to-lymphocyte ratio is associated with cancer therapy-related cardiovascular toxicity in high-risk cancer patients under immune checkpoint inhibitor therapy
19. The Semmelweis Study: a longitudinal occupational cohort study within the framework of the Semmelweis Caring University Model Program for supporting healthy aging
20. Effect of hypercholesterolemia on circulating and cardiomyocyte-derived extracellular vesicles
21. Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality
22. ‘Beware, I am large and dangerous’ – human listeners can be deceived by dynamic manipulation of the indexical content of agonistic dog growls
23. Detectable troponin below the 99th percentile predicts survival in patients undergoing coronary angiography
24. Pressure overload-induced systolic heart failure is associated with characteristic myocardial microRNA expression signature and post-transcriptional gene regulation in male rats
25. Assessment of community efforts to advance network-based prediction of protein–protein interactions
26. IL-1β neutralization prevents diastolic dysfunction development, but lacks hepatoprotective effect in an aged mouse model of NASH
27. Past and future of an IMI-PharmaTrain (IMI-PhT)-initiated multinational pharmaceutical medicine course at the Semmelweis University in Hungary
28. Pressure overload-induced systolic heart failure is associated with characteristic myocardial microRNA expression signature and post-transcriptional gene regulation in male rats
29. Pharmacokinetics and cardioprotective efficacy of intravenous miR-125b* microRNA mimic in a mouse model of acute myocardial infarction.
30. Mitigating off-target effects of small RNAs: conventional approaches, network theory and artificial intelligence.
31. Cardioprotective microRNAs (protectomiRs) in a pig model of acute myocardial infarction and cardioprotection by ischaemic conditioning: MiR-450a.
32. Network Analysis for Signal Detection in Spontaneous Adverse Event Reporting Database: Application of Network Weighting Normalization to Characterize Cardiovascular Drug Safety
33. Therapeutic and pharmacological applications of extracellular vesicles and lipoproteins.
34. Assessment of community efforts to advance network-based prediction of protein–protein interactions
35. Organ-specific model of simulated ischemia/reperfusion and hyperglycemia based on engineered heart tissue
36. Identification of New, Translatable ProtectomiRs against Myocardial Ischemia/Reperfusion Injury and Oxidative Stress: The Role of MMP/Biglycan Signaling Pathways
37. Molecular fingerprints of cardiovascular toxicities of immune checkpoint inhibitors.
38. Ergolide mediates anti-cancer effects on metastatic uveal melanoma cells and modulates their cellular and extracellular vesicle proteomes [version 2; peer review: 2 approved]
39. Health position paper and redox perspectives on reactive oxygen species as signals and targets of cardioprotection
40. IL-1β neutralization prevents diastolic dysfunction development, but lacks hepatoprotective effect in an aged mouse model of NASH
41. Disease- and headache-specific microRNA signatures and their predicted mRNA targets in peripheral blood mononuclear cells in migraineurs: role of inflammatory signalling and oxidative stress
42. Editorial: Cardiovascular sequelae of chemotherapy and radiotherapy in cancer survivors: current evidence and perspectives
43. YB-1 Is a Novel Target for the Inhibition of α-Adrenergic-Induced Hypertrophy
44. Ca2+/calmodulin‐dependent protein kinase II and protein kinase G oxidation contributes to impaired sarcomeric proteins in hypertrophy model
45. Inflammasome activation in end‐stage heart failure‐associated atrial fibrillation
46. IMproving Preclinical Assessment of Cardioprotective Therapies (IMPACT) criteria: guidelines of the EU-CARDIOPROTECTION COST Action
47. Human activity recognition of children with wearable devices using LightGBM machine learning
48. Disease- and headache-specific microRNA signatures and their predicted mRNA targets in peripheral blood mononuclear cells in migraineurs: role of inflammatory signalling and oxidative stress
49. Efficient link prediction in the protein–protein interaction network using topological information in a generative adversarial network machine learning model
50. Human activity recognition of children with wearable devices using LightGBM machine learning
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