Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sanam M. Ghazi"'
Autor:
Satyam Krishan, Zain Ul Abideen Asad, Dionisia Quiroga, Sanam M. Ghazi, Cooper Quartermaine, Zachary Braunstein, Onaopepo Kola-Kehinde, Adnan Shaaban, Alma Habib, Sarah Khan, Richard Cheng, Jonathan E. Brammer, Daniel Addison
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Hematopoietic stem cell transplantation (HSCT) is a potentially curative therapy for several malignant and non-malignant hematologic conditions. However, patients undergoing HSCT are at increased risk of developing serious cardiovascular eve
Externí odkaz:
https://doaj.org/article/b5634522985444c2bb2cd8b82f8e78c3
Autor:
Megan E. Gregory, Weidan Cao, Saurabh Rahurkar, Fadi Haroun, James C. Stock, Sanam M. Ghazi, Daniel Addison
Publikováno v:
Cancer Medicine, Vol 13, Iss 17, Pp n/a-n/a (2024)
Abstract Background Cancer survivors are at greater risk for cardiovascular‐related mortality. Mobile health (mHealth) is an increasingly prevalent strategy for health promotion, but whether it consistently improves cardiorespiratory outcomes after
Externí odkaz:
https://doaj.org/article/d3585dd8a54948769c5a8233da2ae966
Autor:
Megan E. Gregory, Weidan Cao, Saurabh Rahurkar, Pallavi Jonnalagadda, James C. Stock, Sanam M. Ghazi, Endia Reid, Abigail L. Berk, Courtney Hebert, Lang Li, Daniel Addison
BACKGROUND Cardiotoxicity is a limitation of several cancer therapies, and early recognition improves outcomes. Symptom-tracking mHealth apps are feasible and beneficial, but key elements for mHealth symptom-tracking to indicate early signs of cardio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18bbd6b23932bb8261fdb317d6aa494f
https://doi.org/10.2196/preprints.46481
https://doi.org/10.2196/preprints.46481
Autor:
Syed A, Enam, Sanam M, Ghazi, Muhammad F, Raghib, Adnan, Salim, Shiraz, Hashmi, Fauzan, Hashmi, Saad B, Anis, Muhammad Bilal, Tariq, Meher, Angez, Shahzad, Shamim, Ahsan A, Khan
Publikováno v:
Cureus.
Background No scoring system is available to predict the extent of resection of giant pituitary adenomas (GPAs) based on magnetic resonance imaging (MRI) parameters. We developed a novel AKU Giant Pituitary Adenoma (AGPA) score and assessed the predi
Autor:
Ahmed Sayed, Malak Munir, Eric H Yang, Daniel Addison, Sarah Khan, Jiwon Kim, Syed Mahmood, Narendranath Epperla, Alexa Meara, Sanam M Ghazi, Mussammat Ferdousi, Satyam Krishan, Adnan Shaaban, Alma Habib, Onaopepo Kola-Kehinde, Patrick Ruz, Sneha Sharma, Stephanie Feldman
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 12, Iss 2 (2024)
Background Bispecific T-cell engagers (BTEs) are novel agents used to treat hematological malignancies. Early trials were underpowered to define cardiovascular adverse events (CVAE) and no large-scale studies systematically examined the CVAEs associa
Externí odkaz:
https://doaj.org/article/4daf6a6fa2be4e8dbd01f020034d0b6a