Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Oshin Miranda"'
Autor:
Oshin Miranda, Sophie Marie Kiehl, Xiguang Qi, M. Daniel Brannock, Thomas Kosten, Neal David Ryan, Levent Kirisci, Yanshan Wang, LiRong Wang
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Extracting research of domain criteria (RDoC) from high-risk populations like those with post-traumatic stress disorder (PTSD) is crucial for positive mental health improvements and policy enhancements. The intricacies of collecti
Externí odkaz:
https://doaj.org/article/23c2bc3c7d894de7b84d5178bce882f7
Autor:
Oshin Miranda, Peihao Fan, Xiguang Qi, Haohan Wang, M. Daniel Brannock, Thomas R. Kosten, Neal David Ryan, Levent Kirisci, Lirong Wang
Publikováno v:
Journal of Personalized Medicine, Vol 14, Iss 1, p 94 (2024)
Prediction of high-risk events amongst patients with mental disorders is critical for personalized interventions. We developed DeepBiomarker2 by leveraging deep learning and natural language processing to analyze lab tests, medication use, diagnosis,
Externí odkaz:
https://doaj.org/article/4bcb00a1919c4f9bb16ab86d92ac2977
Publikováno v:
Pharmaceuticals, Vol 16, Iss 7, p 911 (2023)
Around 50% of patients with Alzheimer’s disease (AD) may experience psychotic symptoms after onset, resulting in a subtype of AD known as psychosis in AD (AD + P). This subtype is characterized by more rapid cognitive decline compared to AD patient
Externí odkaz:
https://doaj.org/article/c8b13e93d6734c64822928392e1f025d
Autor:
Oshin Miranda, Peihao Fan, Xiguang Qi, Zeshui Yu, Jian Ying, Haohan Wang, David A. Brent, Jonathan C. Silverstein, Yu Chen, Lirong Wang
Publikováno v:
Journal of Personalized Medicine, Vol 12, Iss 4, p 524 (2022)
Identifying patients with high risk of suicide is critical for suicide prevention. We examined lab tests together with medication use and diagnosis from electronic medical records (EMR) data for prediction of suicide-related events (SREs; suicidal id
Externí odkaz:
https://doaj.org/article/b54a63c910e54949bc374a42e562ccb2
Publikováno v:
Cancers, Vol 10, Iss 9, p 280 (2018)
Hepatocyte growth factor (HGF) is the ligand for the tyrosine kinase receptor c-Met (Mesenchymal Epithelial Transition Factor also known as Hepatocyte Growth Factor Receptor, HGFR), a receptor with expression throughout epithelial and endothelial cel
Externí odkaz:
https://doaj.org/article/6c157162140b48a8aeb1f7145f13590b
Publikováno v:
Pharmaceuticals; Volume 16; Issue 7; Pages: 911
Around 50% of patients with Alzheimer’s disease (AD) may experience psychotic symptoms after onset, resulting in a subtype of AD known as psychosis in AD (AD + P). This subtype is characterized by more rapid cognitive decline compared to AD patient
Autor:
Oshin Miranda, Peihao Fan, Xiguang Qi, Haohan Wang, M Daniel Brannock, Thomas Kosten, Neal David Ryan, Levent Kirisci, LiRong Wang
Introduction: Prediction of high-risk events amongst patients with mental disorders is critical for personalized interventions. In our previous study, we developed a deep learning-based model, DeepBiomarker by utilizing electronic medical records (EM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80c5ddfcced8bd1ae14cfc0b2e8aff28
https://doi.org/10.21203/rs.3.rs-2949487/v1
https://doi.org/10.21203/rs.3.rs-2949487/v1
Publikováno v:
Cancers
Cancers, Vol 10, Iss 9, p 280 (2018)
Cancers, Vol 10, Iss 9, p 280 (2018)
Hepatocyte growth factor (HGF) is the ligand for the tyrosine kinase receptor c-Met (Mesenchymal Epithelial Transition Factor also known as Hepatocyte Growth Factor Receptor, HGFR), a receptor with expression throughout epithelial and endothelial cel
Autor:
Erika Louiselle, Oshin Miranda, Huiyu Li, MiKayla Boeder, Zhijie Li, Jill M. Siegfried, Mariya Farooqui
Publikováno v:
Cancer Research. 79:2349-2349
Lung cancer is the number one cause of cancer-related fatalities, and to date, there are no FDA-approved chemoprevention options for lung cancer prevention. NNK, the principal carcinogen in cigarette smoke can induce mutations in oncogenes and can al