Search Result "death prediction"
Biomarkers to Predict Sudden Cardiac Death
Ebook: Biomarkers in Medicine
Volume: 1 Year: 2022
Author(s): Ali UÄur Soysal
Doi: 10.2174/9789815040463122010022
Predictive Efficacy Biomarkers of Programmed Cell Death 1/Programmed Cell Death 1 Ligand Blockade Therapy
Journal: Recent Patents on Anti-Cancer Drug Discovery
Volume: 11 Issue: 2 Year: 2016 Page: 141-151
Author(s): Xiao-Na Fang,Li-Wu Fu
Biomarkers in Cardiomyopathies and Prediction of Sudden Cardiac Death
Journal: Current Pharmaceutical Biotechnology
Volume: 18 Issue: 6 Year: 2017 Page: 472-481
Author(s): Mathieu Kruska,Ibrahim El-Battrawy,Michael Behnes,Martin Borggrefe,Ibrahim Akin
Cell Death in Mammalian Development
Journal: Current Pharmaceutical Design
Volume: 14 Issue: 2 Year: 2008 Page: 184-196
Author(s): Z. Zakeri, C. Penaloza, S. Orlanski, Y. Ye, T. Entezari-Zaher, M. Javdan
Risk Stratification for Sudden Cardiac Death: Current Approaches and Predictive Value
Journal: Current Cardiology Reviews
Volume: 5 Issue: 1 Year: 2009 Page: 56-64
Author(s): Gustavo Lopera, Anne B. Curtis
Death Receptor Signaling in Cancer Therapy
Journal: Current Medicinal Chemistry - Anti-Cancer Agents
Volume: 3 Issue: 4 Year: 2003 Page: 253-262
Author(s): Simone Fulda, Klaus-Michael Debatin
Prediction of Infection and Death Ratio of COVID-19 Virus in Turkey by Using Artificial Neural Network (ANN)
Journal: Coronaviruses
Volume: 2 Issue: 1 Year: 2021 Page: 106-112
Author(s): Andaç Batur Ãolak
Chemotherapeutic Targeting of Cell Death Pathways
Journal: Anti-Cancer Agents in Medicinal Chemistry
Volume: 12 Issue: 3 Year: 2012 Page: 226-238
Author(s): Sylvia Mansilla, Laia Llovera, Jose Portugal
In Silico Prediction of Quercetin Analogs for Targeting Death-AssociatedProtein Kinase 1 (DAPK1) Against Alzheimerâs Disease
Journal: Current Neuropharmacology
Volume: 22 Issue: 14 Year: 2024 Page: 2353-2367
Author(s): Fung Yin Ngo
Inherited Cardiac Channelopathies and Sudden Death
Ebook: Frontiers in Myocardia
Volume: 3 Year: 2020
Author(s): Iroegbu Chukwuemeka Daniel,Zhang Hao,Song Long,Sheng Tang,Jinfu Yang
Doi: 10.2174/9789811432347120030011