[HTML][HTML] AI for life: Trends in artificial intelligence for biotechnology
Due to popular successes (eg, ChatGPT) Artificial Intelligence (AI) is on everyone's lips
today. When advances in biotechnology are combined with advances in AI unprecedented …
today. When advances in biotechnology are combined with advances in AI unprecedented …
[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 …
[HTML][HTML] Initiatives, concepts, and implementation practices of the findable, accessible, interoperable, and reusable data principles in health data stewardship: sco** …
Background Thorough data stewardship is a key enabler of comprehensive health research.
Processes such as data collection, storage, access, sharing, and analytics require …
Processes such as data collection, storage, access, sharing, and analytics require …
Anonymity preserving IoT-based COVID-19 and other infectious disease contact tracing model
Automated digital contact tracing is effective and efficient, and one of the non-
pharmaceutical complementary approaches to mitigate and manage epidemics like …
pharmaceutical complementary approaches to mitigate and manage epidemics like …
[HTML][HTML] One digital health: a unified framework for future health ecosystems
One Digital Health is a proposed unified structure. The conceptual framework of the One
Digital Health Steering Wheel is built around two keys (ie, One Health and digital health) …
Digital Health Steering Wheel is built around two keys (ie, One Health and digital health) …
Dwarna: a blockchain solution for dynamic consent in biobanking
Dynamic consent aims to empower research partners and facilitate active participation in the
research process. Used within the context of biobanking, it gives individuals access to …
research process. Used within the context of biobanking, it gives individuals access to …
[HTML][HTML] Position paper on management of personal data in environment and health research in Europe
Management of datasets that include health information and other sensitive personal
information of European study participants has to be compliant with the General Data …
information of European study participants has to be compliant with the General Data …
[HTML][HTML] Biobanks for life sciences and personalized medicine: importance of standardization, biosafety, biosecurity, and data management
Biological samples such as tissues, blood and other body fluids, plants or seeds, prokaryotic
and eukaryotic cells or isolated biomolecules as well as associated data are the essential …
and eukaryotic cells or isolated biomolecules as well as associated data are the essential …
[HTML][HTML] Initiatives, concepts, and implementation practices of FAIR (findable, accessible, interoperable, and reusable) data principles in health data stewardship …
Background: Data stewardship is an essential driver of research and clinical practice. Data
collection, storage, access, sharing, and analytics are dependent on the proper and …
collection, storage, access, sharing, and analytics are dependent on the proper and …
Addressing barriers in comprehensiveness, accessibility, reusability, interoperability and reproducibility of computational models in systems biology
Computational models are often employed in systems biology to study the dynamic
behaviours of complex systems. With the rise in the number of computational models, finding …
behaviours of complex systems. With the rise in the number of computational models, finding …