Seventh Workshop on Processes and Algorithms for Healthcare and Life Quality Improvement 

CBPBL is a Workshop of the BIBM 2023 conference  

https://bidma.cpsc.ucalgary.ca/IEEE-BIBM-2023/

Istanbul & Turkey   December 5-8 2023


Workshop link: http://meet.google.com/hru-gren-bkf

Program Schedule: BIBM2023-Program-1204.pdf (ucalgary.ca) 


7th edition of the Workshop on Processes and Algorithms for Healthcare and Life Quality Improvement


Organizers: Patrizia Vizza, University Magna Graecia of Catanzaro

Pierangelo Veltri, University of Calabria

Raffaele Giancotti, University Magna Graecia of Catanzaro


Clinical and biological data represent a huge information source for disease studies as well as for the improvement of wellness. Recent Covid-19 pandemic highlighted the importance of data management and processes to prevent pandemic diffusion as well as to improve healthcare structure management. Studying clinical as well as wellness related data may help researchers in extracting information spanning from data crawled from biological laboratories to textual description of diseases and diagnostic device results (e.g., biomedical images). Diagnosis records associated with citizens cured in hospitals can be used for administrative processes (e.g., costs, reimbursement) as well as disease monitoring. Proteins and genes data can be used to relate (risk of) diseases to familiar as well as environmental information (e.g., Genome-Wide Association Studies), allowing integrating clinical, genomics, environmental data to increase life quality.

The workshop aims to attract people working in computer science and computer engineering area to present research topic related to the study of wellness improving. It aims to let authors working in area related to medicine to converge in a unique track to discuss and highline the importance of automatic process for life quality improvements via prevention and information extraction and/or enrichment.

Finally, the emergency of covid-19 increases the necessity of novel data models for epidemology and tracking systems. Thus innovative models and process management for pandemic and viruses diffusion are welcome.


TOPICS OF INTEREST

The workshop is seeking original research papers presenting applications of algorithms and solutions applied to biomedicine, clinical applications and lifestyle. Topics of interest include, but are not limited to:

- Data modeling and management for health related information

- Cyber security techniques applied to health related data

- Large scale biological and biomedical databases

- Ontologies and dictionaries for biomedical data integration

- Mobile and personal device based algorithms and solutions for healthy lifestyle

- Algorithms for health informatics

- Prediction and inference models for biological and health related information

- Scientific workflows and process management in health informatics

- High performance solutions for bioinformatics and biomedicine

- Architectures for bioinformatics and biomedicine

- Clinical and biological signals management

- Epidemiological models and systems for life quality monitoring

- Pandemic data and processes management


Important Dates:


Paper Submission:

Length of paper

Please submit a paper (up to 8 page IEEE 2-column format) through the online submission system (you can download the format instructions here (http://www.ieee.org/conferences_events/conferences/publishing/templates.html).

All accepted accepted will be included in the main conference proceedings which are included in the IEEE digital library indexed by Google Scholar and Scopus.

Special Issues on important Journals are also planned.


Online Submission Web Site:

https://wi-lab.com/cyberchair/2023/bibm23/index.php


Program Chairs


Program Committee (temptative)

Pierre Baldi (University of California Irvine)

Giuseppe Di Fatta (University of Reading, UK)

Pietro Hiram Guzzi (University of Catanzaro, Italy)

Elena Succurro (University of Catanzaro, Italy)

Christian Atallah (Newcastle University, UK) 

Ferrari Davide (Newcastle University, UK) 

Amarda Shehu (University of Washington, USA)

Dong Si (University of Washington Bothell, USA)

Giuseppe Pozzi (Politenico di Milano, IT)  

Mattia Prosperi (University of Florida, USA)

Maria Eugenia Caligiuri (University of Catanzaro, Italy)

Qiuling Suo (University of Buffalo, USA)

Mengnan Zhao (Drexel University, Philadelphia, USA)

Nisansa Dilushan de Silva (University of Oregon, USA)

Giuseppe Tradigo (University ecampus, Novedrate, Italy)

Xinghua Shi (University of North Carolina at Charlotte, USA)

Ester Zumpano (University of Calabria, Italy)

Lidia Fotia (University of Reggio Calabria, Italy)

Danissa Rodriguez (New York University, USA)

Rosa Sicilia (University Campus Bio-Medico Roma, Italy)

Mattia Cannistrà (University of Catanzaro, Italy)

Cluadia Torno (IFC CNR Reggio Calabria, Italy)