Healthcare 4.0

Healthcare 4.0


The term “Healthcare 4.0” has been introduced inspired to Industry 4.0, i.e. a well-known industrial concept leveraging personalization and virtualization across different industrial domains. At its core strategy, it empowers industries to evolve from manufacturers to service providers, allowing growing amounts of personalization as a service to client. Similarly, in the health domain, Healthcare 4.0 extends the concept of Industry 4.0 in a scenario where patients and healthcare professionals are strictly correlated with the organization, the methodology and the technology. A patient-oriented system based on data sharing amongst the varied players can lead to improved healthcare delivery.

The innovative challenge for the forthcoming years is to make the hospital organization an integrated center able to provide the patient with a personal care service, involving the patient as an active subject. Several research fields are involved, such as the bioinformatics, the healthcare informatics, the cyber-physical systems, the Internet of Things (IoT), the artificial intelligence, the robotics, the cloud computing and the information security, to cite a few. Furthermore, the Healthcare 4.0 is closely linked with precision medicine , which aims at identifying the genetic-, environmental- and lifestyle-based approaches effective for patient therapy.

This workshop aims at bringing together and discussing in the field of Healthcare 4.0, the recent advances in computation methods and applications of bioinformatics, biomedicine and health informatics, with reference to approaches fostering precision medicine.


The topics of interest include, but are not limited to:

  • Computational methods for precision medicine
  • Smart, wireless, wearable sensors in Healthcare
  • Data analytics in Healthcare
  • Data mining and Machine learning algorithms for biomedical application
  • Deep Learning for Healthcare
  • Radiomics, genomics and radiogenomics
  • Bioinformatics models
  • Electronic health records mining
  • Medical signal processing
  • Clinical Decision Support Systems


  • Prospective authors are invited to submit papers in any of the topics listed above.
  • Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
  • Please also check the Guidelines.
  • Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


  • Mario Merone (Universita’ Campus Bio-Medico di Roma, Italy)
  • Tony Solomonides (NorthShore University HealthSystem, Illinois, USA)


  • Dario Allegra (Universita’ degli studi di Catania, Italy)
  • Pierangelo Afferni (Universita’ Campus Bio-Medico di Roma, Italy)
  • Alfredo Benso (Politecnico di Torino, Italy)
  • Albert Comelli (University of Palermo, Italy)
  • Luca Faramondi (Universita’ Campus Bio-Medico di Roma, Italy)
  • Danilo Fiore (Weill Cornell Medical College, New York, USA)
  • Jaakko Hollmèn (Aalto University School of Science, Finland)
  • Sabine Koch (Karolinska Institutet, Sweden)
  • Peter Lucas (Radboud University Nijmegen, The Netherlands)
  • Stefano Marrone (Universita’ Federico II, Italy)
  • Carlo Massaroni (Universita’ Campus Bio-Medico di Roma, Italy)
  • Giovanni Palombo (IASI-CNR, Italy)
  • Panagiotis Papapetrou (Stockholm University, Sweden)
  • Giorgio Pennazza (Universita’ Campus Bio-Medico di Roma, Italy)
  • Gabriele Piantadosi (Universita’ Federico II, Italy)
  • Carlo Sansone (Universita’ Federico II, Italy)
  • Marco Santonico (Universita’ Campus Bio-Medico di Roma, Italy)
  • Alessandro Stefano (IBFM-CNR di Cefalù, Italy)
  • Fabrizio Taffoni (Universita’ Campus Bio-Medico di Roma, Italy)
  • Luca Vollero (Universita’ Campus Bio-Medico di Roma, Italy)
  • Anthony Yezzi (Georgia Institute of Technology, Atlanta, USA)
  • Congsheng Zhang (Henan University, China)