LEARNING OUTCOMES

Panoramica dei principali aspetti della medicina personalizzata tramite l’introduzione dell’impatto clinico della variabilità molecolare individuale, dello stile di vita e dei fattori ambientali. In particolare il corso tratterà i principi omici che consentono una maggiore precisione nella diagnosi e nella terapia rispetto ad approcci convenzionali. Gli studenti affronteranno le basi della diagnostica molecolare, il ruolo dei biomarcatori e dei fattori genomici e non genomici alla base della medicina personalizzata L’insegnamento fornisce inoltre le basi tecnologiche della salute digitale applicata alla cura del singolo paziente e l'influenza di componenti specifiche dell'infrastruttura informatica (come sistemi operativi, strumenti di comunicazione e sicurezza) sulle prestazioni e applicabilità della salute digitale personale.

AIMS AND LEARNING OUTCOMES

Attendance and active participation in the proposed educational activities and individual study will allow the student:
- to know in depth the principles underlying early diagnosis and personalized therapy;
- to know how to describe the principles of omics sciences (genomics, proteomics, transcriptomics, metabolomics);
- to apply the different chemical-physical properties of biomolecules to different bioengineering fields (diagnosis and therapy);
- to know the main mechanisms underlying gene replication and expression;
- to apply the chemical-physical properties of nucleic acids to the design and engineering of devices for diagnosis and personalized therapy.
- to know how to describe the main classes of nanoengineered systems for diagnosis and therapy.
- to identify the most suitable nanosystems for a specific application;
- to give examples of engineering applications in the field of personalized medicine; 

- to know the characteristics of the operating systems that can guide him in their choice of the necessary applications in these areas;

- to know and correctly apply the communication mechanisms between information systems;

- to know and correctly apply the IT security measures essential in the processing of these personal data classified as very sensitive.

TEACHING METHODS

The course consists of lectures with the support of audio-visual material.

Students with SLD, disability or other special educational needs certification are advised to contact the teacher at the beginning of the course to agree on teaching and exam methods that, in compliance with the teaching objectives, take into account the modalities of individual learning and provide suitable tools
compensatory.

SYLLABUS/CONTENT

• Genomics, transcriptomics, proteomics, metabolomics;
• Biomolecules for bioengineering;
• Gene replication and expression;
• Techniques for gene sequencing and for gene expression analysis;
• Nano-engineered systems for early diagnosis and personalized therapy;
• Biological barriers.

• Outline of Operating Systems: architecture, memory and process management

• Outline of Computer Networks: the ISO / OSI protocol stack, TCP / IP addressing

• Notes on computer security: symmetric / asymmetric cryptography, secure communications

RECOMMENDED READING/BIBLIOGRAPHY

Slides provided in class and scientific articles on specific topics.

For further information:

• Andrew S. Tanenbaum, Herbert Bos “Modern Operating System” IV Ed. Pearson
• Andrew S. Tanenbaum, David J. Wetherall “Computer Networks” V Ed. Pearson