Artificial intelligence and machine learning in cancer imaging
An increasing array of tools is being developed using artificial intelligence (AI) and machine
learning (ML) for cancer imaging. The development of an optimal tool requires …
learning (ML) for cancer imaging. The development of an optimal tool requires …
Ocean FAIR data services
T Tanhua, S Pouliquen, J Hausman… - Frontiers in Marine …, 2019 - frontiersin.org
Well-founded data management systems are of vital importance for ocean observing
systems as they ensure that essential data are not only collected but also retained and made …
systems as they ensure that essential data are not only collected but also retained and made …
Open science, open data, and open scholarship: European policies to make science fit for the twenty-first century
JC Burgelman, C Pascu, K Szkuta… - Frontiers in big …, 2019 - frontiersin.org
Open science will make science more efficient, reliable, and responsive to societal
challenges. The European Commission has sought to advance open science policy from its …
challenges. The European Commission has sought to advance open science policy from its …
FAIRsharing as a community approach to standards, repositories and policies
How and when these regulatory gaps are closed could have profound consequences for the
marine biotech industry. The reach of the Nagoya Protocol into digital sequence information …
marine biotech industry. The reach of the Nagoya Protocol into digital sequence information …
FAIR principles: interpretations and implementation considerations
A Jacobsen, R de Miranda Azevedo, N Juty… - Data …, 2020 - direct.mit.edu
The FAIR principles have been widely cited, endorsed and adopted by a broad range of
stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do …
stakeholders since their publication in 2016. By intention, the 15 FAIR guiding principles do …
Systematic review of privacy-preserving distributed machine learning from federated databases in health care
Big data for health care is one of the potential solutions to deal with the numerous
challenges of health care, such as rising cost, aging population, precision medicine …
challenges of health care, such as rising cost, aging population, precision medicine …
Appyters: Turning Jupyter Notebooks into data-driven web apps
DJB Clarke, M Jeon, DJ Stein, N Moiseyev… - Patterns, 2021 - cell.com
Jupyter Notebooks have transformed the communication of data analysis pipelines by
facilitating a modular structure that brings together code, markdown text, and interactive …
facilitating a modular structure that brings together code, markdown text, and interactive …
Evaluating FAIR maturity through a scalable, automated, community-governed framework
Transparent evaluations of FAIRness are increasingly required by a wide range of
stakeholders, from scientists to publishers, funding agencies and policy makers. We propose …
stakeholders, from scientists to publishers, funding agencies and policy makers. We propose …
[HTML][HTML] Implementation and relevance of FAIR data principles in biopharmaceutical R&D
J Wise, AG de Barron, A Splendiani, B Balali-Mood… - Drug discovery today, 2019 - Elsevier
Highlights•Biopharma R&D productivity can be improved by implementing the FAIR Data
Principles.•FAIR enables powerful new AI analytics to access data for machine learning and …
Principles.•FAIR enables powerful new AI analytics to access data for machine learning and …
[PDF][PDF] The EU's General Data Protection Regulation (GDPR) in a research context
CF Mondschein, C Monda - Fundamentals of clinical data science, 2019 - library.oapen.org
The EU's General Data Protection Regulation (GDPR). 1 has entered into force on 25 May
2018. 2 It replaces the EU's previous legal framework that dates back to 1995; while …
2018. 2 It replaces the EU's previous legal framework that dates back to 1995; while …