Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mishal Ashraf"'
Autor:
Dan C Wilkinson, Elizabeth Tallman, Mishal Ashraf, Tatiana Gelaf Romer, Jeehoon Lee, Benjamin Burnett, Pierre R Bushel
Publikováno v:
Bioinformatics and Biology Insights, Vol 18 (2024)
Single-cell RNA sequencing (scRNA-seq) allows for an unbiased assessment of cellular phenotypes by enabling the extraction of transcriptomic data. An important question in downstream analysis is how to evaluate biological similarities and differences
Externí odkaz:
https://doaj.org/article/970715216ad04d6f9b4dd42e19ea2bab
Autor:
Ricky Hu, Kevin Y. Fan, Prashant Pandey, Zoe Hu, Olivia Yau, Minnie Teng, Patrick Wang, Toni Li, Mishal Ashraf, Rohit Singla
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-5 (2022)
Clinical artificial intelligence (AI) applications are rapidly developing but existing medical school curricula provide limited teaching covering this area. Here we describe an AI training curriculum we developed and delivered to Canadian medical und
Externí odkaz:
https://doaj.org/article/a6b5083cf8ca436ea1dcc59391e16536
Autor:
Hira Shahid, Muhammad Abul Hasan, Osama Ejaz, Hashim Raza Khan, Muhammad Idrees, Mishal Ashraf, Sobia Aftab, Saad Ahmed Qazi
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
The COVID-19 pandemic has significantly affected the psychological stability of general population of Pakistan. However, research on the severity of COVID-19 induced depression, anxiety, and stress (DAS) in Pakistan is scarce. This paper thereby inve
Externí odkaz:
https://doaj.org/article/75adb5e931ce4bf8b40c5e2b3141f1b7
Autor:
Mishal Ashraf, Sharika Mohanan, Byu Ri Sim, Anthony Tam, Kiamehr Rahemipour, Denis Brousseau, Simon Thibault, Alexander D Corbett, Gil Bub
Publikováno v:
eLife, Vol 10 (2021)
We introduce a random-access parallel (RAP) imaging modality that uses a novel design inspired by a Newtonian telescope to image multiple spatially separated samples without moving parts or robotics. This scheme enables near-simultaneous image captur
Externí odkaz:
https://doaj.org/article/65f8739b30b34c9ebbcb18d76e06df57
Publikováno v:
Circulation: Genomic and Precision Medicine.
A polygenic risk score (PRS) is derived from a genome-wide association study and represents an aggregate of thousands of single-nucleotide polymorphisms that provide a baseline estimate of an individual’s genetic risk for a specific disease or trai
Autor:
Kate Huang, Mishal Ashraf, Leili Rohani, Yinhan Luo, Ardin Sacayanan, Haojun Huang, Anne Haegert, Stanislav Volik, Funda Sar, Stéphane LeBihan, Janet Liew, Jason D. Roberts, Glen F. Tibbits, Jared M. Churko, Shubhayan Sanatani, Colin Collins, Liam R. Brunham, Zachary W. Laksman
BackgroundProtein truncating mutations in the titin gene are associated with increased risk of atrial fibrillation (AF). However, little is known regarding the underlying pathophysiology.MethodsWe identified a heterozygous titin truncating variant in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e683910296e17cbec11da9f3984e918c
https://doi.org/10.1101/2023.03.02.530843
https://doi.org/10.1101/2023.03.02.530843
Publikováno v:
Circulation. 147
Introduction: A polygenic risk score (PRS) is derived from a genome-wide association study (GWAS) and represents an aggregate of thousands of single-nucleotide polymorphisms (SNPs) that provide a baseline estimate of an individual’s genetic risk fo
Publikováno v:
Current Protocols. 1
Machine learning techniques are increasingly becoming incorporated into biological research workflows in a variety of disciplines, most notably cancer research and drug discovery. Efforts in stem cell research comparatively lag behind. We detail key
Autor:
Zachary Laksman, Hattie Luo, Kate Huang, Mishal Ashraf, Jeremy Parker, Soah Lee, Shubhayan Sanatani, Haojun Huang, Sean Wu, Jared Churko, liam brunham, Leili Rohani
Publikováno v:
Heart Rhythm. 19:S225
Autor:
Simon Thibault, Mishal Ashraf, Kiamehr Rahemipour, Sharika Mohanan, Alexander D. Corbett, Byu Ri Sim, Anthony Tam, Gil Bub, Denis Brousseau
Publikováno v:
eLife
eLife, Vol 10 (2021)
eLife, Vol 10 (2021)
We introduce a random-access parallel (RAP) imaging modality that uses a novel design inspired by a Newtonian telescope to image multiple spatially separated samples without moving parts or robotics. This scheme enables near-simultaneous image captur