Results 41 to 50 of about 5,919,808 (365)

Optimizing quantum gates towards the scale of logical qubits

Nature Communications
A foundational assumption of quantum error correction theory is that quantum gates can be scaled to large processors without exceeding the error-threshold for fault tolerance.
Paul V. Klimov, Andreas Bengtsson, Chris Quintana, Alexandre Bourassa, Sabrina Hong, Andrew Dunsworth, Kevin J. Satzinger, William P. Livingston, Volodymyr Sivak, Murphy Yuezhen Niu, Trond I. Andersen, Yaxing Zhang, Desmond Chik, Zijun Chen, Charles Neill, Catherine Erickson, Alejandro Grajales Dau, Anthony Megrant, Pedram Roushan, Alexander N. Korotkov, Julian Kelly, Vadim Smelyanskiy, Yu Chen, Hartmut Neven   +23 more
doaj   +1 more source

Agentic AI: Autonomous Intelligence for Complex Goals—A Comprehensive Survey

IEEE Access
Agentic AI, an emerging paradigm in artificial intelligence, refers to autonomous systems designed to pursue complex goals with minimal human intervention.
D. Acharya, Karthigeyan Kuppan, Divya Bhaskaracharya   +2 more
semanticscholar   +1 more source

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

Impact of digital health interventions on glycemic control and weight management

npj Digital Medicine
This retrospective cohort study evaluates the impact of an AI-supported continuous glucose monitoring (CGM) mobile app (“January V2”) on glycemic control and weight management in 944 users, including healthy individuals and those with prediabetes or type
Arvind Veluvali, Ashkan Dehghani Zahedani, Amir Hosseinian, Nima Aghaeepour, Tracey McLaughlin, Mark Woodward, Alex DiTullio, Noosheen Hashemi, Michael P. Snyder   +8 more
doaj   +1 more source

From ”Explainable AI” to ”Graspable AI”

Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction, 2021
Since the advent of Artificial Intelligence (AI) and Machine Learning (ML), researchers have asked how intelligent computing systems could interact with and relate to their users and their surroundings, leading to debates around issues of biased AI systems, ML black-box, user trust, user’s perception of control over the system, and system’s ...
Ghajargar, Maliheh, Bardzell, Jeffrey, Renner, Alison, Krogh, Peter Gall, Höök, Kristina, Cuartielles, David, Boer, Laurens, Wiberg, Mikael   +7 more
openaire   +6 more sources

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

British medical journal
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting recommendations for studies developing or evaluating the performance of a ...
Gary S. Collins, K. Moons, P. Dhiman, R. Riley, A. L. Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, M. van Smeden, A. Boulesteix, J. Camaradou, L. Celi, S. Denaxas, A. Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, G. Heinze, Michael M. Hoffman, A. Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, B. Mateen, Melissa Mccradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, S. Rose, Karandeep Singh, L. Wynants, P. Logullo   +33 more
semanticscholar   +1 more source

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

Futur campus santé de Sion: vers une collaboration entre services documentaires? : état des lieux et pistes de réflexion [PDF]

, 2016
La HES-SO Valais Wallis a pour projet de construire à l’horizon 2020 un nouveau bâtiment regroupant ses formations dans le domaine de la santé (soins infirmiers et physiothérapie) et du social (filières de niveau école supérieure dans l’éducation de l ...
Bressoud Guérin, Valérie, Gurtner, Jean-Luc, Salvi, Mireille   +2 more
core  

Induction and formation of accessory corpus luteum after artificial insemination (AI) might increase pregnancy rate per AI in heat stressed dairy cows

Macedonian Veterinary Review, 2020
The present study aimed to evaluate whether the induction and the formation of an accessory corpus luteum (CL) after AI might increase the pregnancy per AI (P/AI) in heat stressed dairy cows.
Boris Stojanov, Branko Atanasov, Juraj Grizelj, Silvio Vince, Martin Nikolovski, Miroslav Kjosevski, Toni Dovenski, Nikola Adamov, Ksenija Ilievska, Marko Samardzija   +9 more
doaj   +1 more source

DELP Treatment on Vision and Retinal Microcirculation in Patients With Acute Ischemic Stroke: Report of Five Cases and Literature Review

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li, Ronghua Hong, Hua You, Feiping Xu, Qingjun Zhang, Yiwen Lin, Yuting Su, Danmei Lan, Lingjing Jin, Junhui She   +9 more
wiley   +1 more source