Elisabetta Sciacca
Elisabetta Sciacca received her laurea degree in Telecommunications Engineering from University of Catania, in 2016. Since 2016 she became a member of CNIT (Consorzio Nazionale Interuniversitario per le Telecomunicazioni), where she worked on telecommunications for medical applications. In the same period, she worked in parallel as operation engineer at Xenia Network Solutions S.r.l. In 2017, passionate in personalised medicine research, she started an interdisciplinary PhD program focused on Bioinformatics. In 2019, she started a proficient collaboration with the William Harvey Research Institute (WHRI, Queen Mary University, London) where she is actually based. Her main work lies in computational biology, focusing on transcriptomic analysis for immunological diseases.
All the research activities are led from a genuine interest in making data science and technological skills useful for the real need of healthcare.
Present:
Transcriptomics analysis on RNAseq Next Generation Sequencing data for immunological disease. As part of MATURA project we are aiming to find and develop tests that will allow better targeting of the available treatments to those who would benefit most.
My main work regards the statistical analysis of Differential Expression Genes (DEGs) and their impact on biological pathways.
Body Area Networks:
A Body Area Network (BAN) is a wireless sensor network consisting of low-power, nano-technology sensors and actuators implanted in the human body. They allow to provide timely data for health monitoring purposes. We investigated the use of ultrasonics as an alternative to the classical Radio Frequency communication.
Other:
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Statistical analysis of blood tests in newborns to identify possible alterations in autistic patients.
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Biometric identification tools (voice identification).
Sciacca, E., Alaimo, S., Pulvirenti, A., Latora, V., Humbly, F., Ferro, A., Lewis, M., Pitzalis, C. (2019, October). Micro-RNA enriched pathway impact analysis applied to synovial RNA-seq in early rheumatoid arthritis identifies response prediction pathways. (Under Revision)
Sciacca, E., Galluccio, L. (2019, April). Impulse Response Analysis of an Ultrasonic Human Body Channel. (Under Revision)
Galluccio, L., Grasso, C., Milardo, S., Schembra, G., & Sciacca, E. (2018, November). An Experimental Testbed for Managing BAN Services at the Network Edge. In 2018 14th International Conference on Network and Service Management (CNSM) (pp. 333-337). IEEE.
Galluccio, L., Milardo, S., & Sciacca, E. (2017, May). A feasibility analysis on the use of ultrasonic multihop communications for e-health applications. In 2017 IEEE International Conference on Communications (ICC) (pp. 1-6). IEEE.