Mapping Of The Sino-European Science And Technology Collaborations On Personalized Medicine: An Updated Overview.
Pontoriero, L.; Mazzoni, A.; De Santis, G.; Gentili, M.; Moltzen, E.; Puch, S.; Lange, C.; D'Errico, G.
Show abstract
AimPersonalized medicine is part of the future frontier of public health and precision healthcare systems have been implemented for years, both within Europe and beyond. To establish the state of the art of Sino-EU science and innovation in Personalized medicine, we have mined the major dedicated databases globally. Here we present the updated mapping on the Sino-EU collaborations. Patents, scientific publications and preprints related to Personalized medicine have been mapped and analyzed after being extracted through databases mining. The integration of the previous mapping provides a more complete overview, which does not show relevant variations, confirming previous trends. In this work we complete the mapping by providing a digital tool for consulting the various data collected.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Mapping the coevolution, leadership and financing of research on viral vectors, RNAi, CRSPR/Cas9 and other genomic editing technologies 96%
- Introducing the EMPIRE Index: A novel, value-based metric framework to measure the impact of medical publications 94%
- An interactive retrieval system for clinical trial studies with context-dependent protocol elements 93%
Similar papers in this journal
- Analysis of daily reproduction rates of COVID-19 using Current Health Expenditure as Gross Domestic Product percentage (CHE/GDP) across countries 93%
- Beyond vaccination: A Cross-Sectional Study of the importance of Behavioral and Native Factors on COVID-19 Infection and Severity. 90%
- SARS-CoV-2 Infection Breakthrough among the non-vaccinated and vaccinated: a Real World Evidence study based on Big Data 90%
Similar papers in this journal
- The Role of Societal Aspects in the Formation of Official COVID-19 Reports: A Data-Driven Analysis 93%
- How the COVID-19 pandemic is shaping research in Africa: inequalities in scholarly output and collaborations and new opportunities for scientific leadership 92%
- Predicting mortality, duration of treatment, pulmonary embolism and required ceiling of ventilatory support for COVID-19 inpatients: A Machine-Learning Approach 91%
Similar papers in this journal
- Identification, analysis and prediction of valid and false information related to vaccines from Romanian tweets 93%
- Adaptive time-dependent priors and Bayesian inference to evaluate SARS-CoV-2 public health measures validated on 31 countries 91%
- Relationship between COVID-19 pandemic and ecological, economic, and social characteristics 91%
Similar papers in this journal
- Inference of an integrative, executable network for Rheumatoid Arthritis combining data-driven machine learning approaches and a state-of-the-art mechanistic disease map 89%
- Construction of tongue image-based machine learning model for screening patients with gastric precancerous lesions 89%
- Comprehensive profiling of genomic and transcriptomic differences between risk groups of lung adenocarcinoma and lung squamous cell carcinoma 88%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.