Results 241 to 250 of about 9,883,756 (332)

Quality assurance for deep learning-based proton therapy planning in routine clinical use for oropharyngeal cancer. [PDF]

Phys Imaging Radiat Oncol
van Bruggen IG, Brinkman-Akker MJ, Jonkhof ID, Langendijk JA, Both S, Korevaar EW.   +5 more
europepmc   +1 more source

A White Paper on Advancing Long‐Acting Therapeutics for Maternal and Pediatric Health by Bridging Gaps in Clinical Research, Access and Regulation

Clinical Pharmacology &Therapeutics, EarlyView.
As use cases for long‐acting therapeutics expand across clinical indications, there is a critical need to ensure the inclusion of women who are pregnant or breastfeeding, infants and children—populations with a historical gap in the availability of interventions already approved for use in adults.
Moherndran Archary, Robert Bies, Osei Boateng, Rachel Daley, Pierre Gashema, Mili Karina, Emily Njuguna, Sharon Nachman, Nathaniel Nkrumah, Carolyne Odula, Andrew Owen, Ethel D. Weld, Prajith Venkatasubramanian, Adeniyi Olagunju, on behalf of the Community of Practice for Long‐acting Therapeutics for Maternal and Paediatric Health, Rana Abutaima, Dorothy Akongo, Abdulnaser Alsharaa, Moherndran Archary, Shakir Atoyebi, Benoit Bestgen, Robert Bies, Osei Boateng, Andrew Butler, Edmund Capparelli, Rachel Daley, Layla Davies, Joelle Dountio, Henry Enzama, Pierre Gashema, Katila George, Dan Hawcutt, Rene Holm, Patrick Gad Iradukunda, Elodie Jambert, Mili Karina, Linda Lewis, Grace Miheso, Sebastien Morin, Andrew Morrison, Sharon Nachman, Shadia Nakalema, Emily Njunga, Nathaniel Nkrumah, Carolyne Odula‐Obonyo, Brenda Okware, Adeniyi Olagunju, Andrew Owen, Martina Penazzato, Natella Rakhmanina, Mphako Brighton Ratlabyana, Rachel Scott, Kimberly Struble, Andre‐Marie Tchouatieu, Catherine Unsworth, Prajith Venkatasubramanian, Catriona Waitt, Ethel Weld, Janine Winterbottom, Leena Zino   +59 more
wiley   +1 more source

Clinical Model‐Informed Precision Dosing Consult Service for Accelerating Personalized Medication in Pediatric Patients

Clinical Pharmacology &Therapeutics, EarlyView.
Traditional dosing strategies often rely on a “one‐size‐fits‐all” paradigm, assuming an “average” patient with typical demographic and pharmacological characteristics. In reality, this often overlooks existing between‐patient variability and can lead to suboptimal drug exposure or toxicity. This issue is especially pronounced in pediatric patients, who
Zachary L. Taylor, Takanobu Nadai, Kei Irie, Wen Rui Tan, Sanjana Parikh, Anhar Hosawi, Matthijs W. van Hoogdalem, Ronaldo Morales Junior, Sonya Tang Girdwood, Abbie D. Leino, Kana Mizuno, Alexander A. Vinks, Tomoyuki Mizuno   +12 more
wiley   +1 more source

Deep learning prediction of overall survival in glioblastoma patients using pre-chemoradiotherapy MRI and clinical data. [PDF]

Front Radiol
Moreau NN, Desmonts A, Jaudet C, Leleu T, Leclercq AG, Brunaud C, Stefan D, Valable S, Lechervy A, Corroyer-Dulmont A.   +9 more
europepmc   +1 more source

Toward Fit‐for‐Purpose Data for Drug Assessment in Non‐small Cell Lung Cancer: A Core Dataset

Clinical Pharmacology &Therapeutics, EarlyView.
Considering the high unmet medical need in people with non‐small cell lung cancer (NSCLC), the drug assessment for targeted therapies often rely on small populations and single‐arm trials, challenging the evaluation by regulatory authorities, health technology assessment bodies (HTAb), and clinicians.
Geeske F. Grit, Maaike van Dartel, Laura Rodwell, Hanneke van der Woude, Cornelis Boersma, Peter G. M. Mol, Doranne Hilarius   +6 more
wiley   +1 more source

Deep Learning Workload Scheduling in GPU Datacenters: A Survey

ACM Computing Surveys
Zhisheng Ye, Wei Gao, Qing-Hao Hu, Peng Sun, Xiaolin Wang, Ying-Wei Luo, Tian-Wei Zhang, Yong-Gang Wen   +7 more
semanticscholar   +1 more source

Considerations for the Integration of Clinical Trials and Real‐World Data

Clinical Pharmacology &Therapeutics, EarlyView.
As clinical decision‐making increasingly moves toward individualized and context‐specific treatment recommendations, reliance on any single evidence source, randomized or observational, may be insufficient. Principled integration of randomized controlled trials and real‐world data, grounded in explicit causal frameworks, offers a path toward evidence ...
Sky Qiu, Charles E. Barr, Lauren Dang, Larry Han, Kajsa Kvist, Hana Lee, Andrew Mertens, Nerissa Nance, Lei Nie, Kara Rudolph, Xu Shi, Jens Tarp, Salina P. Waddy, Kenneth Wiley, Andy Wilson, Margot Lisa Jing Yann, Zhiwei Zhang, Tianyue Zhou, Maya Petersen, Mark van der Laan   +19 more
wiley   +1 more source

Artificial Intelligence in Neuroradiology: Transforming Diagnosis, Prognostication, and Workflow. [PDF]

Indian J Radiol Imaging
Ghosh T.
europepmc   +1 more source

Leaders or Followers? Individual‐Level Sustainability Orientations on Corporate Social Responsibility and Their Theoretical Drivers

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Although the literature on Corporate Social Responsibility (CSR) increasingly recognizes the coexistence of multiple theoretical frameworks at the organizational level, little is known about how individual professionals internalize and combine these frameworks in managerial practice. This study fills this gap by analyzing management engineers,
Idiano D'Adamo, Simone Di Leo, Chiara Grosso   +2 more
wiley   +1 more source