Artificial intelligence and machine learning in cancer imaging

DM Koh, N Papanikolaou, U Bick, R Illing… - Communications …, 2022 - nature.com
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 …

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 …

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 …

FAIRsharing as a community approach to standards, repositories and policies

SA Sansone, P McQuilton, P Rocca-Serra… - Nature …, 2019 - nature.com
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 …

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 …

Systematic review of privacy-preserving distributed machine learning from federated databases in health care

F Zerka, S Barakat, S Walsh, M Bogowicz… - JCO clinical cancer …, 2020 - ascopubs.org
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 …

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 …

[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 …

Evaluating FAIR maturity through a scalable, automated, community-governed framework

MD Wilkinson, M Dumontier, SA Sansone… - Scientific data, 2019 - nature.com
Transparent evaluations of FAIRness are increasingly required by a wide range of
stakeholders, from scientists to publishers, funding agencies and policy makers. We propose …

[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 …