Results 161 to 170 of about 3,632,413 (364)

Characterizing long COVID in an international cohort: 7 months of symptoms and their impact

EClinicalMedicine, 2020
Hannah E. Davis, Gina S. Assaf, L. McCorkell, Hannah Wei, Ryan J. Low, Yochai Re'em, Signe Redfield, J. Austin, A. Akrami   +8 more
semanticscholar   +1 more source

Cohort Profile: The Puberty Cohort in the Danish National Birth Cohort (DNBC) [PDF]

International Journal of Epidemiology, 2019
Jørn Olsen, Jørn Olsen, Andreas Ernst, Lea L B Lauridsen, Erik T. Parner, Ellen A. Nohr, Nis Brix, Anne-Marie Nybo Andersen, Bodil Hammer Bech, Inger Kristine Meder, Katrine Strandberg-Larsen, Cecilia Høst Ramlau-Hansen   +11 more
openaire   +7 more sources

Transcriptome‐wide analysis of circRNA and RBP profiles and their molecular relevance for GBM

Molecular Oncology, EarlyView.
CircRNAs are differentially expressed in glioblastoma primary tumors and might serve as therapeutic targets and diagnostic markers. The investigation of circRNA and RNA‐binding proteins (RBPs) interactions shows that distinct RBPs play a role in circRNA biogenesis and function.
Julia Latowska‐Łysiak, Żaneta Zarębska, Marcin P. Sajek, Adriana Grabowska, Alessia Buratin, Paweł Głodowicz, Julia O. Misiorek, Konrad Kuczyński, Stefania Bortoluzzi, Marek Żywicki, Jan G. Kosiński, Agnieszka Rybak‐Wolf, Rafał Piestrzeniewicz, Anna M. Barciszewska, Katarzyna Rolle   +14 more
wiley   +1 more source

Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification [PDF]

arXiv
Whole Slide Images (WSIs) are critical for various clinical applications, including histopathological analysis. However, current deep learning approaches in this field predominantly focus on individual tumor types, limiting model generalization and scalability.
arxiv  

Cohort disaggregation analysis of fertility data from a sample survey [PDF]

, 1969
George C. Myers, Jeffry R. Gibson
openalex   +1 more source

Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study

The Lancet, 2020
N. Kuderer, T. Choueiri, D. Shah, Y. Shyr, S. Rubinstein, D. Rivera, S. Shete, Chih-Yuan Hsu, A. Desai, Gilberto Lopes, P. Grivas, P. Grivas, C. Painter, S. Peters, M. Thompson, Z. Bakouny, G. Batist, T. Bekaii-Saab, M. Bilen, N. Bouganim, M. B. Larroya, D. Castellano, S. Prete, D. Doroshow, P. Egan, A. Elkrief, D. Farmakiotis, D. Flora, M. Galsky, M. Glover, E. Griffiths, A. Gulati, Shilpa Gupta, Navid Hafez, T. Halfdanarson, J. Hawley, E. Hsu, A. Kasi, A. Khaki, A. Khaki, Christopher A. Lemmon, C. Lewis, Barbara B. Logan, T. Masters, R. McKay, R. Mesa, A. Morgans, M. Mulcahy, O. Panagiotou, P. Peddi, N. Pennell, K. Reynolds, Lane R. Rosen, R. Rosovsky, M. Salazar, A. Schmidt, Sumit A Shah, J. Shaya, J. Steinharter, K. Stockerl-Goldstein, S. Subbiah, D. Vinh, F. Wehbe, L. Weissmann, J. Wu, E. Wulff-Burchfield, Zhuoer Xie, Albert C. Yeh, Albert C. Yeh, P. Yu, A. Zhou, L. Zubiri, S. Mishra, G. Lyman, G. Lyman, B. Rini, J. Warner, M. Abidi, J. Acoba, Neeraj Agarwal, S. A. Ahmad, Archana Ajmera, Jessica Altman, Anne H. Angevine, Nilo Azad, Michael H. Bar, Aditya Bardia, Jill S Barnholtz-Sloan, Briana Barrow, B. Bashir, Rimma Belenkaya, S. Berg, E. Bernicker, C. Bestvina, R. Bishnoi, Genevieve Marie Boland, Mark Bonnen, G. Bouchard, Daniel W. Bowles, F. Busser, A. Cabal, P. Caimi, Theresa M. Carducci, C. Casulo, James L. Chen, J. Clement, D. Chism, Erin Cook, C. Curran, Ahmad Daher, Mark Dailey, S. Dahiya, John Deeken, G. Demetri, Sandy DiLullo, N. Duma, Rawad Elias, B. Faller, L. Fecher, Lawrence E. Feldman, C. Friese, Paul Fu, Julie Fu, A. Futreal, J. Gainor, Jorge E Garcia, David M. Gill, E. Gillaspie, Antonio Giordano, Grace Glace, Axel Grothey, S. Gulati, M. Gurley, B. Halmos, Roy S. Herbst, D. Hershman, Kent Hoskins, R. Jain, Salma K. Jabbour, Alokkumar Jha, Douglas B. Johnson, Monika Joshi, K. Kelleher, J. Kharofa, H. Khan, J. Knoble, V. Koshkin, Amit A. Kulkarni, P. Lammers, J. Leighton, Mark A. Lewis, Xuanyi Li, Ang Li, K. M. Lo, A. Loaiza-Bonilla, Patricia LoRusso, C. Low, M. Lustberg, D. Mahadevan, Abdul-Hai Mansoor, Michelle Marcum, M. Markham, C. H. Marshall, Sandeep H. Mashru, Sara Matar, C. McNair, Shannon K. McWeeney, J. Mehnert, A. Menendez, H. Menon, M. Messmer, Ryan S. Monahan, Sarah Mushtaq, G. Nagaraj, Sarah Nagle, J. Naidoo, John M. Nakayama, Vikram M. Narayan, Heather H. Nelson, Eneida R. Nemecek, R. Nguyen, P. Nuzzo, P. Oberstein, A. Olszewski, Susie Owenby, M. Pasquinelli, John Philip, Sabitha Prabhakaran, M. Puc, Amelie G. Ramírez, J. Rathmann, S. Revankar, Young Soo Rho, Terence D. Rhodes, Robert L. Rice, Gregory Riely, Jonathan W. Riess, Cameron Rink, E. Robilotti, Lori J. Rosenstein, B. Routy, M. Rovito, M. W. Saif, Amit Sanyal, L. Schapira, C. Schwartz, Oscar K. Serrano, Mansi Shah, Chintan Shah, Grace Shaw, Ardaman Shergill, Geoffrey P. Shouse, Heloisa P. Soares, Carmen C. Solorzano, Pramod K. Srivastava, Karen Stauffer, D. Stover, Jamie Stratton, Catherine Stratton, V. Subbiah, R. Tamimi, N. Tannir, U. Topaloglu, E. V. Allen, S. V. Loon, Karen Vega-Luna, N. Venepalli, Amit Verma, Praveen Vikas, Sarah Wall, P. L. Weinstein, Matthias Weiss, T. Wise-Draper, William A. Wood, Wenxin Xu, S. Yackzan, R. Zacks, Tian Zhang, Andrea J. Zimmer, Jack West   +239 more
semanticscholar   +1 more source

Thermal proteome profiling and proteome analysis using high‐definition mass spectrometry demonstrate modulation of cholesterol biosynthesis by next‐generation galeterone analog VNPP433‐3β in castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
Elevated level of cholesterol is positively correlated to prostate cancer development and disease severity. Cholesterol‐lowering drugs, such as statins, are demonstrated to inhibit prostate cancer. VNPP433‐3β interrupts multiple signaling and metabolic pathways, including cholesterol biosynthesis, AR‐mediated transcription of several oncogenes, mRNA 5′
Retheesh S. Thankan, Elizabeth Thomas, Mehari M. Weldemariam, Puranik Purushottamachar, Weiliang Huang, Maureen A. Kane, Yuji Zhang, Nicholas Ambulos, Bi‐Dar Wang, David Weber, Vincent C. O. Njar   +10 more
wiley   +1 more source

Leveraging Foundation Language Models (FLMs) for Automated Cohort Extraction from Large EHR Databases [PDF]

arXiv
A crucial step in cohort studies is to extract the required cohort from one or more study datasets. This step is time-consuming, especially when a researcher is presented with a dataset that they have not previously worked with. When the cohort has to be extracted from multiple datasets, cohort extraction can be extremely laborious.
arxiv  

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

Molecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim, Myunghee Kang, Soyeon Jeong, Jisup Kim, Kyoung Oh Kim, Won‐Suk Lee, Jeong‐Heum Baek, Jung Ho Kim, Seungyoon Nam   +8 more
wiley   +1 more source

Perinatal mortality by birth order within cohorts based on sibship size. [PDF]

, 1979
Leiv S. Bakketeig, Howard J. Hoffman
openalex   +1 more source