Topic Editors
Future Directions in Cardiology: How the Clinic Will Change in the Coming Years, the Laboratory Always Standing
Topic Information
Dear Colleagues,
In the last few years, laboratory medicine, together with medicine in general, has undergone a significant revolution, which is shifting our methods of diagnosing and treating diseases towards increasingly automated technologies, AI-driven processes, and personalized healthcare.
Today, the clinical lab is a central element of all elements of healthcare, providing key information for disease prevention, evaluation of risk, diagnosis, and monitoring of therapies, as well as the prevention of adverse events and complications. Nonetheless, the development and introduction of innovative tools for molecular diagnostics, artificial intelligence (AI), and machine learning render the healthcare practice of the near future more targeted and reliable; however, increasing the complexity of clinical laboratories and the need for further statistical, technical, and interpretative knowledge are still barriers.
At the same time, laboratory analyses have started a process of decentralization, out of the traditional clinical laboratories and to the bedside, at home, in urgent/emergency settings, or on other sites (e.g., pharmacies and ambulances) with the development of point-of-care testing (POCT), which can be applied when fast clinical responses are needed. This can, however, conceal limitations and disadvantages that need to be controlled and overcome.
This Topic aims to cover all aspects regarding this profound technological innovation, which is amplifying the research, traditional organization, and levels of standardization of clinical labs. While this may improve decision-making and patient health, it is also open to critical pitfalls and challenges.
Thus, in this Topic, original research articles and reviews are welcome, covering research areas which include (but are not limited to) the following:
- Digitalization and AI in the future diagnostic laboratory;
- Molecular diagnostics and omics technologies;
- Point-of-care and rapid tests;
- Personalized medicine:
- Assurance and control of quality;
- Green labs and environmental sustainability;
- Identification of new additive/alternative significant biomarkers to refine the disease profile;
- The multimarker approach between traditional and newly proposed biochemical, imaging, and molecular biomarkers.
We look forward to receiving your contributions.
Dr. Cristina Vassalle
Dr. Melania Gaggini
Topic Editors
Keywords
- laboratory digitalization
- artificial intelligence
- personalized medicine
- omics technologies
- molecular diagnostics
- point-of-care
- biomarkers
- multimarker strategy
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Biomedicines
|
3.9 | 6.8 | 2013 | 21 Days | CHF 2600 | Submit |
Current Issues in Molecular Biology
|
3.0 | 3.7 | 1999 | 16.3 Days | CHF 2200 | Submit |
International Journal of Molecular Sciences
|
4.9 | 9.0 | 2000 | 17.8 Days | CHF 2900 | Submit |
International Journal of Translational Medicine
|
- | 2.2 | 2021 | 28.2 Days | CHF 1200 | Submit |
Journal of Cardiovascular Development and Disease
|
2.3 | 3.7 | 2014 | 24.7 Days | CHF 2700 | Submit |
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