Results 41 to 50 of about 1,298,901 (260)

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Tackling Heterogeneous Light Detection and Ranging-Camera Alignment Challenges in Dynamic Environments: A Review for Object Detection

Sensors
Object detection is an essential computer vision task that identifies and locates objects within images or videos and is crucial for applications such as autonomous driving, robotics, and augmented reality.
Yujing Wang, Abdul Hadi Abd Rahman, Fadilla ’Atyka Nor Rashid, Mohamad Khairulamirin Md Razali   +3 more
doaj   +1 more source

A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture

IEEE Access, 2018
Clustering is a fundamental problem in many data-driven application domains, and clustering performance highly depends on the quality of data representation. Hence, linear or non-linear feature transformations have been extensively used to learn a better
Erxue Min, Xifeng Guo, Qiang Liu, Gen Zhang, Jianjing Cui, Jun Long   +5 more
doaj   +1 more source

Efficacy and Tolerability of Topotecan/Cyclophosphamide/Dinutuximab in Relapsed and Refractory High‐Risk Neuroblastoma: A Multi‐Institutional Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman, Madeleine King, Rajen Mody, Sara‐Jane Onyeama, Araz Marachelian, Thomas Cash, Sara M. Federico, Meaghan Granger, Ami V. Desai, Suzanne Shusterman, Jennifer H. Foster, Elizabeth Sokol, Chelsee Greer, Keri Streby, Holly J. Meany, Kieuhoa T. Vo, Margaret E. Macy, Rochelle Bagatell   +17 more
wiley   +1 more source

Improving generative inverse design of molecular catalysts in small data regime

Machine Learning: Science and Technology
Deep generative models are a powerful tool for exploring the chemical space within inverse-design workflows; however, their effectiveness relies on sufficient training data and effective mechanisms for guiding the model to optimize specific properties ...
François Cornet, Pratham Deshmukh, Bardi Benediktsson, Mikkel N Schmidt, Arghya Bhowmik   +4 more
doaj   +1 more source

Clinical Course and Impact of Breaks in Therapy for Children With Relapsed/Refractory Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pediatric relapsed or refractory (R/R) solid tumors carry a dismal prognosis, and postrelapse patient experiences are not well described. We present postrelapse outcomes, including number of R/R events and subsequent therapy regimens.
Matthew T. McEvoy, Elizabeth L. Seashore, W. Susan Cheng, Shondra Clay, Jessica A. Casas, Jennifer H. Foster   +5 more
wiley   +1 more source

A roadmap for designing a virtual interface to explore a digital twin of the oceans for marine ecosystems monitoring

Ecological Informatics
Many marine monitoring infrastructures continuously collect biological and abiotic data, yet user-friendly interfaces for visualizing and translating this knowledge remain limited.
Morane Clavel-Henry, Sascha Flögel, Daniel M. Toma, Gerard Llorach-Tó, Nixon Bahamon, Giacomo Picardi, Marco Francescangeli, Juliana Quevedo, Nathan J. Robinson, Michele Ferrari, Damianos Chatzievangelou, Antoni Sánchez-Márquez, Paula Espina, Jordi Ribera-Altimir, Luca Mirimin, Seonock Woo, Tim W. Nattkemper, Emanuela Fanelli, Cristina Gambi, Silvia Gallegati, Francesca Marcellini, Pascuale De Luca, Sergio Stefanni, Vignesh G. Menon, Jan-Eike Rossius, Ander M. de Lecea, Corrado Costa, Jacopo Aguzzi   +27 more
doaj   +1 more source

Survey on Encoding Schemes for Genomic Data Representation and Feature Learning—From Signal Processing to Machine Learning

Big Data Mining and Analytics, 2018
Data-driven machine learning, especially deep learning technology, is becoming an important tool for handling big data issues in bioinformatics. In machine learning, DNA sequences are often converted to numerical values for data representation and ...
Ning Yu, Zhihua Li, Zeng Yu
doaj   +1 more source

The Efficacy and Safety of Bevacizumab/Irinotecan/Temozolomide (BIT) for Relapsed/Refractory Neuroblastoma: The UK Children's Cancer and Leukaemia Group Experience

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson, Menna Shamma, Upeka Senanayake, Shaimaa Sahmoud, Kathleen Duffin, Victoria Howard, David King, Ayesha Fathani, Blanche Lumb, Andrei Pobischan, Irum Latif Memon, Monzir Ahmed, Rhian Thomas, Gerard Millen, Yasmeen Alomari, Sucheta Vaidya, Lynley V. Marshall, Sally L. George, Ramya Ramanujachar, Juliet Gray, Paola Angelini   +20 more
wiley   +1 more source

Metamodels for Hierarchical Topological Data Representation in Intelligent Manufacturing Systems

Applied Sciences
The kernel of intelligent manufacturing is data utilization, where data can be trained to build AI models to generate optimized control parameter values for production processes.
Chunyu Chen, Xinyang Ding, Wang Lin
doaj   +1 more source