Results 61 to 70 of about 25,203,054 (312)

Construction of growth model and growth simulation of Yunnan Arabica coffee

open access: yesBMC Plant Biology
Yunnan is the primary coffee-producing region in China. With the changing consumption habits of younger consumers, the coffee industry has experienced rapid growth, and enhancing both quality and yield has become a major focus of research.
Rongbiao Ji   +6 more
doaj   +1 more source

Big data analytics in healthcare: promise and potential

open access: yesHealth Information Science and Systems, 2014
To describe the promise and potential of big data analytics in healthcare. The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported
W. Raghupathi, V. Raghupathi
semanticscholar   +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

Big Data Bioinformatics [PDF]

open access: yesMethods, 2016
Recent technological advances allow for high throughput profiling of biological systems in a cost-efficient manner. The low cost of data generation is leading us to the “big data” era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis.
Xue-Wen, Chen, Jean X, Gao
openaire   +2 more sources

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

A high temporal resolution global gridded dataset of human thermal stress metrics

open access: yesScientific Data
The human thermal stress indices and datasets are vital for promoting public health and reducing negative environmental impacts as global climate change and extreme meteorological events increase.
Hongdeng Jian   +12 more
doaj   +1 more source

Big data: Data wrangling [PDF]

open access: yesNature, 2008
Collecting and releasing environmental data have stirred up controversy in Washington, says David Goldston, and will continue to do so.
openaire   +2 more sources

Big data in healthcare: management, analysis and future prospects

open access: yesJournal of Big Data, 2019
‘Big data’ is massive amounts of information that can work wonders. It has become a topic of special interest for the past two decades because of a great potential that is hidden in it.
Sabyasachi Dash   +3 more
semanticscholar   +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

Bridging the semantic gap in medical image segmentation via multi-scale dependency and attention-guided enhancement

open access: yesScientific Reports
The encoder–decoder paradigm has emerged as the prevailing framework in medical image segmentation, and recent studies within this paradigm have demonstrated its remarkable effectiveness for lesion delineation.
Mingrong Li   +6 more
doaj   +1 more source

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