Results 31 to 40 of about 641,149 (266)

4D light sheet imaging, computational reconstruction, and cell tracking in mouse embryos

open access: yesSTAR Protocols
Summary: As light sheet fluorescence microscopy (LSFM) becomes widely available, reconstruction of time-lapse imaging will further our understanding of complex biological processes at cellular resolution.
Martin H. Dominguez   +2 more
doaj   +1 more source

Exploring Preferences for a Digital Single‐Session Intervention for Adolescent Siblings of Youth With Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro   +10 more
wiley   +1 more source

Protocol for characterizing cell motility and extracellular signal-regulated kinase dynamics in epithelial monolayers using FRET imaging data

open access: yesSTAR Protocols
Summary: Extracellular signal-regulated kinase (ERK) activity waves regulate critical processes like wound healing and bacterial pathogen dissemination by altering host cell motility and biomechanics.
Julio Cesar Sanchez-Rendon   +2 more
doaj   +1 more source

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

open access: yesPediatric 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   +23 more
wiley   +1 more source

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

open access: yesPediatric 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   +17 more
wiley   +1 more source

Index, 2016, Vol. 5, N. 1

open access: yesAdvances in Distributed Computing and Artificial Intelligence Journal, 2016
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 2016, Vol. 5, N. 1, pp. I-II.
ADCAIJ ADCAIJ
doaj  

Protocol for building and using a maximum power point output tracker for perovskite solar cells

open access: yesSTAR Protocols
Summary: We recently developed a galvanostatic maximum power point output (MPPT) algorithm for high-hysteresis perovskite solar cells (PSCs), enabling continuous and precise power tracking.
Arturo Sanz-Marco   +3 more
doaj   +1 more source

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

open access: yesPediatric 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   +5 more
wiley   +1 more source

Team

open access: yesAdvances in Distributed Computing and Artificial Intelligence Journal, 2016
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 2016, Vol. 5, N. 2, p. I.
Editorial Team
doaj  

Protocol for assessing distances in pathway space for classifier feature sets from machine learning methods

open access: yesSTAR Protocols
Summary: As genes tend to be co-regulated as gene modules, feature selection in machine learning (ML) on gene expression data can be challenged by the complexity of gene regulation.
Bahar Tercan   +78 more
doaj   +1 more source

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