Results 51 to 60 of about 3,371,941 (321)

What to Do When Medical Evidence Can Only Be Generated Through Routine Data: An Example From Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Children undergoing allogeneic stem cell transplantation often receive off‐label rituximab treatment for Epstein–Barr virus reactivation, using adult dosing without pediatric evidence. This project aims to develop a clinical decision support tool (CDSS) that provides evidence‐based dosing scenarios by analyzing real‐world patient data.
Birgit Burkhardt, Antje Walz, Dietrich Knoerzer   +2 more
wiley   +1 more source

A performance-driven hybrid text-image classification model for multimodal data

Scientific Reports
Deep learning is transformed by a hybrid model combining text and image processing in a transforming approach to categorization chores. It addresses multi-type data—that which combines text and visual data.
Swati Gupta, Bal Kishan
doaj   +1 more source

Why we live in the Computational Universe

, 2005
To better understand the deep significance of our best physical theories it could be interesting to compare our Universe with its models. It may happen that the differences between the model and reality can be made indistinguishable, to the point that it
Fontana, Giorgio
core   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed, Raquel Revuelta Iniesta, Mary Fewtrell, Julie Lanigan, Breeana Gardiner, Graeme O'Connor   +5 more
wiley   +1 more source

Potential auto-driving threat: Universal rain-removal attack

iScience, 2023
Summary: Severe weather conditions pose a significant challenge for computer vision algorithms in autonomous driving applications, particularly regarding robustness.
Jincheng Hu, Jihao Li, Zhuoran Hou, Jingjing Jiang, Cunjia Liu, Liang Chu, Yanjun Huang, Yuanjian Zhang   +7 more
doaj   +1 more source

New Trends in Quantum Computing

, 1996
Classical and quantum information are very different. Together they can perform feats that neither could achieve alone, such as quantum computing, quantum cryptography and quantum teleportation.
Brassard, Gilles
core   +2 more sources

Parent‐to‐Child Information Disclosure in Pediatric Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite professional consensus regarding the importance of open communication with pediatric cancer patients about their disease, actual practice patterns of disclosure are understudied. Extant literature suggests a significant proportion of children are not told about their diagnosis/prognosis, which is purported to negatively ...
Rachel A. Kentor, Flora Hoodin, Michelle Byrd, Kristin A. Kullgren, Leah LaLonde, Lauren Benkoske, Patrick Smith, Dawn Carson, Karen MacDonald, Susumu Inoue, Brenda Kitchen, Kate Gowans, Gregory A. Yanik   +12 more
wiley   +1 more source

An access control system for cloud-based healthcare systems driven by blockchain

Journal of Cloud Computing: Advances, Systems and Applications
An effective healthcare data system must safeguard individual privacy, foster public trust, and enhance societal resilience. To achieve this, access to critical health information must be provided in an ethical, secure, and reliable manner.
Aarti Punia, Preeti Gulia, Nasib Singh Gill, Deepak Kaushik, Noha Alduaiji, Piyush Kumar Shukla, Ankur Pandey   +6 more
doaj   +1 more source

Exploiting the structure effectively and efficiently in low rank matrix recovery

, 2018
Low rank model arises from a wide range of applications, including machine learning, signal processing, computer algebra, computer vision, and imaging science.
Absil, Agarwal, Ahmed, Alter, Amelunxen, Beck, Blanchard, Blumensath, Boumal, Boyd, Bunk, Cai, Cai, Cai, Cai, Cai, Cai, Candes, Candes, Candes, Candes, Candes, Candès, Candès, Candès, Candès, Carmon, Chandrasekaran, Chen, Chen, Chen, Chen, Chen, Chen, Chen, Chen, Chen, Combettes, Davenport, Davenport, Ding, Donoho, Fazel, Ge, Ge, Ge, Goldberg, Gross, Hardt, Harrison, Huang, Jaggi, Jain, Jain, Ji, Jin, Keshavan, Kim, Kliesch, Koltchinskii, Krim, Kueng, Lanman, Li, Li, Lin, Ling, Ling, Liu, Liu, Lustig, Ma, Miao, Mishra, Mishra, Mishra, Mobahi, Mu, Negahban, Netrapalli, Ngo, Potter, Qu, Recht, Recht, Schermelleh, Srebro, Strohmer, Sun, Sun, Tanner, Tanner, Tao, Tharrault, Toh, Toh, Tomasi, Tu, Vandereycken, Wang, Wei, Wei, Wei, Wen, WenHuang, Xu, Yi, Zhang, Zhang, Zheng   +109 more
core   +2 more sources

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source