Digital Technologies Applied to Pharmacology: Predictive Models and Clinical Implications
2nd level vocational master
A.Y. 2024/2025
Study area
Medicine and Healthcare
Master Coordinator
The main objective of this vocational master is to provide participants with advanced specialised training in the use of digital technologies for pharmacology, with a focus on predictive models and clinical implications. With its interdisciplinary approach, the training programme aims to:
- give a thorough understanding of the principles and techniques of network pharmacology and systems biology, and how they can be applied to the discovery and development of new drugs;
- help participants become proficient users of digital tools and data analysis platforms for biological network analysis and systems pharmacology modelling, such as Jupyter Notebook and Cytoscape;
- blend theoretical knowledge and practical applications, preparing students to actively contribute to research and development in digital pharmacology;
- explore ethical, legal and privacy-related issues arising from the increasing use of artificial intelligence applications and new digital technologies in pharmacology;
- guide participants in the understanding and application of simulation and modelling techniques;
- equip professionals for the challenges of modern pharmacological research, by providing them with a solid understanding of data analysis methods and complex biological systems.
- give a thorough understanding of the principles and techniques of network pharmacology and systems biology, and how they can be applied to the discovery and development of new drugs;
- help participants become proficient users of digital tools and data analysis platforms for biological network analysis and systems pharmacology modelling, such as Jupyter Notebook and Cytoscape;
- blend theoretical knowledge and practical applications, preparing students to actively contribute to research and development in digital pharmacology;
- explore ethical, legal and privacy-related issues arising from the increasing use of artificial intelligence applications and new digital technologies in pharmacology;
- guide participants in the understanding and application of simulation and modelling techniques;
- equip professionals for the challenges of modern pharmacological research, by providing them with a solid understanding of data analysis methods and complex biological systems.
To be eligible for the programme, applicants must hold a Master's degree or a single-cycle Master's degree in one of the following classes pursuant to Ministerial Decree 270/2004: LM-6 Biology; LM-8 Industrial Biotechnologies; LM-9 Pharmaceutical, Veterinary and Medical Biotechnologies; LM-13 Pharmacy and Industrial Pharmacy; LM-41 Medicine; LM-54 Chemistry.
The vocational master is designed to produce highly qualified professionals, able to innovate and improve pharmacological practice through the use of the latest digital technologies. At the end of the programme, participants will be fully prepared to work for local health authorities, hospital pharmacies, public and private hospitals, universities and research centres, biotech companies and start-ups, in roles pertaining to the design and development of innovative solutions in the healthcare and pharmaceutical sectors.
The programme, which will be entirely online, will run in the second semester of a. y. 2024/2025 and will comprise 361 hours of lectures (corresponding to 41 CFU, i.e. university credits), as well as 143 hours of other forms of training (10 CFU). Teaching is structured as follows:
Rounding out the programme activities are a 200-hour internship (8 CFU) and a final exam, for which students will have to discuss a therapy using network pharmacology.
The programme, which will be entirely online, will run in the second semester of a. y. 2024/2025 and will comprise 361 hours of lectures (corresponding to 41 CFU, i.e. university credits), as well as 143 hours of other forms of training (10 CFU). Teaching is structured as follows:
Rounding out the programme activities are a 200-hour internship (8 CFU) and a final exam, for which students will have to discuss a therapy using network pharmacology.
- For administrative information on admission applications, enrolments, payments, final parchment, contact us online via the InformaStudenti platform > Post-Graduate Category > Master
Via Festa del Perdono, 7 - 20122 MILANO (MI)
https://www.unimi.it/it/studiare/servizi-gli-studenti/segreterie-informastudenti - Department of Oncology and Hematology-Oncology
Via Santa Sofia, 9 - 95123 Milano (MI)
[email protected]
+3902503 13221
Courses list
Open sessions
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Compulsory | ||||
| Artificial Intelligence for Innovation and Access to Healthcare Services | 1 | 8 | Italian | |
| Code Free Ai Platforms | 1 | 12 | Italian | |
| Computational Approach Applied to Drug Discovery | 6 | 58 | Italian | |
| Cytoscape and Repository | 1 | 15 | Italian | |
| Digital Therapeutics: Innovation, Implementation, and Impacts On Health | 1 | 7 | Italian | |
| Drug-Drug Interactions | 1 | 16 | Italian | |
| Final Examination | 1 | Italian | ||
| Foundamentals of Clinical Pharmacology | 3 | 40 | Italian | |
| Fundamentals of Clinical Practice and Therapy for Understanding Digital Pharmacology | 6 | 56 | Italian | |
| Genetics and Epigenetics Applied to Precision Pharmacology | 4 | 32 | Italian | |
| Integration of Digital Pharmacology in Molecular Tumor Boards | 1 | 8 | Italian | |
| Kir Receptors, Single Cell, and Immunotherapy | 2 | 15 | Italian | |
| Legal Aspects of New Digital Technologies | 1 | 10 | Italian | |
| Molecular Docking | 1 | 12 | Italian | |
| Network Analysis | 1 | 15 | Italian | |
| New Technologies and Pharmacovigilance: Analysis of Public Repositories | 3 | 18 | Italian | |
| Priciples of Pharmacology and Personalized Medicine | 2 | 20 | Italian | |
| Principles of Genomics and Pharmacogenomics | 4 | 34 | Italian | |
| Proteomics and Metabolomics | 2 | 20 | Italian | |
| Python Applied to Pharmacology | 1 | 15 | Italian | |
| R Applied to Pharmacology | 1 | 18 | Italian | |
| Regulatory, Ethical, and Privacy Aspects | 2 | 15 | Italian | |
| Systems Biology and Graph Analysis | 1 | 10 | Italian | |
| Theories of Models Applied to Pharmacology | 3 | 30 | Italian | |
| Training Internship | 8 | 200 | Italian | |
| Virtual Clinical Trials, Digital Twins, and Synthetic Data: an Opportunity for Research, Therapy, and Privacy | 2 | 20 | Italian | |
Enrolment
Places available: 30
Call for applications
Please refer to the call for admission test dates and contents, and how to register.
Application for admission: from 17/12/2024 to 03/02/2025
Application for matriculation: from 25/02/2025 to 04/03/2025
Please note
Deadline for call: 3 of february 2025. Is only available the call for applicantions' italian version uploaded in this page.