Dottorato di Ricerca Internazionale in Medicina Molecolare
Offerta formativa
Il nostro corso di Dottorato in Medicina Molecolare ha lo scopo di fornire un’eccellente formazione interdisciplinare nell’ambito della Medicina Molecolare.
Il dottorando lavorerà sul progetto di ricerca con la supervisione del proprio Director of Studies e la consulenza scientifica di un secondo supervisore esterno.
L’attività didattica offerta è interamente in lingua inglese e copre l’intera durata del Corso.
Ogni anno il Corso di Dottorato in Medicina Molecolare offre un insieme di corsi che approfondiscono le più interessanti aree di ricerca di ciascun curriculum e forniscono agli studenti la formazione indispensabile per una carriera di successo nel mondo accademico.
L’attività didattica offerta è interamente in lingua inglese.
È previsto che gli studenti svolgano un ruolo fondamentale nella vita della nostra comunità scientifica, partecipando a lezioni, workshop e seminari organizzati dall’Istituto Scientifico San Raffaele.
I dottorandi, inoltre, possono essere coinvolti nell’insegnamento e nelle attività di tutorato rivolte agli studenti dei corsi di Laurea UniSR.
Attività didattica a.a. 2021/2022
Di seguito il programma formativo approvato per l'a.a. 2021/2022.
Corsi specifici per ciascun curriculum:
- Single cell-based Spatial OMICS approaches: from theory to recent applications in immunology and oncology
- Space in biology: spatial control of cellular crosstalk in tissue homeostasis and disease
- Artificial Intelligence in Medical Research
- A paradigm shift in the approach to Alzheimer's disease. From basic mechanisms to clinical aspects and prospective treatment
Pitches, Posters, and PPT: Fundamentals of communicating science to peers - Prof. Armando Chapin Rodriguez
The Workshop aims to introduce the students to the foundations of effective scientific and technical communication, supported by findings from neuroscience, linguistics, and marketing. The theoretical part will be followed by practical exercises in small groups based on students’ own projects.
Problem solving logics - Prof. Enrico Dalla Rosa
Although we like to think that human beings are basically rational, it's easy to show that most people - even those who have a very high IQ - can make, in an easily predictable way, mistakes in solving even very simple problems. During the cycle of lessons we will try to vaccinate ourselves against these quite predictable biases, even if we will remain predictably irrational.
Research Integrity (parte I) - Dott. Roberto Buccione
The Research Integrity – General Principles seminar provides a basic overview of the core principles of research integrity, the definition of research misconduct and questionable research practice, general advice on dealing with the complex issues that can arise while planning, conducting and reporting research, and the functions and scope of the Research Integrity Office.
The primary verification of any scientific finding is its reproducibility, which however can occur only when all important steps can be retraced. They should therefore be documented with sufficient thoroughness that a person familiar with the subject would be able to reconstruct the experiments and considerations involved. The log/workbook a.k.a. the "lab book" (paper-based or digital) is the central repository for the logging of experimental protocols and procedures. The Care and Management of Laboratory Notebooks seminar provides a detailed overview of the current Ospedale San Raffaele and Università Vita-Salute San Raffaele regulations and general advice on the logging of experimentation and data in the lab books.
SRH Innovation Management PhD Course - Prof. Bettanti
1st module: Innovation and its Challenges: - Building a shared language of innovation
- Innovation evolution: beyond closed innovation to open innovation
2nd module: Corporate innovation processes: - Corporate innovation challenges in the innovation space
- A case study in corporate pharmaceutical innovation processes
Statistical Methods in Biomedical Research - Database construction and sample description
Quality management in scientific research
Leadership and teamwork
Project management
PhD students-invited lectures series
Career opportunities seminar series
Corsi specifici per ciascun curriculum:
- Single cell-based Spatial OMICS approaches: from theory to recent applications in immunology and oncology
- Space in biology: spatial control of cellular crosstalk in tissue homeostasis and disease
- Artificial Intelligence in Medical Research
- A paradigm shift in the approach to Alzheimer's disease. From basic mechanisms to clinical aspects and prospective treatment
Writing effectively about your research in papers and funding applications - Prof. Armando Chapin Rodriguez
The aim of the Workshop is to introduce students to the foundations of effective scientific and technical communication, supported by findings from neuroscience, linguistics, and marketing. The theoretical part will be followed by practical exercises in small groups based on students’ own projects.
Business Planning - Dr Giancarlo Monza
Research and development (R&D) of today is the medical practice of tomorrow. Unfortunately, the sustainability of R&D is at risk. Other highly innovative areas (e.g. aerospace industry, IT and also … the Army) have tried to addressed the issue of sustainability by enhancing their project planning capabilities.
During the lessons we will review the basic techniques of project planning, focusing on the peculiarity of R&D in health care, where ethics and patient-centric approaches are paramount. Practical examples of failed and successfully completed projects in healthcare will be presented and participant will also have the opportunity to discuss their own programs.
Research Integrity (parte II) - Dott. Roberto Buccione
The Research Integrity – General Principles seminar provides a basic overview of the core principles of research integrity, the definition of research misconduct and questionable research practice, general advice on dealing with the complex issues that can arise while planning, conducting and reporting research, and the functions and scope of the Research Integrity Office.
Research data management (RDM) is the effective and secure handling of information created in the course of research. Such information is typically the foundational evidence of published findings, grant reports, scientific posters, and other scholarly communications. Effective RDM spreads over a long lifecycle and continues well after the initial research has been published, and includes the materials, products, procedures, and other data sources that are part of any research project. The Research Data Management seminar aims to provide basic information on the principles of RDM, and to illustrate the importance of correct management, retrievability, preservation and storage of research data.
Statistical Methods in Biomedical Research - Inferential Statistics: from univariate to multivariate analysis
SRH Innovation Management PhD Course - Prof. Bettanti
1st module: Innovation Ecosystems: - The main driving forces of innovation ecosystems
- The stakeholder model
2nd module: Leading innovation in an Innovation Ecosystem: - Programs for engagement in innovation ecosystems
- Redesigning internal innovation systems to leverage innovation ecosystems
Quality management in scientific research
Leadership and teamwork
Project management
PhD students-invited lectures
Career opportunities seminar series
Corsi specifici per ciascun curriculum:
- Single cell-based Spatial OMICS approaches: from theory to recent applications in immunology and oncology
- Space in biology: spatial control of cellular crosstalk in tissue homeostasis and disease
- Artificial Intelligence in Medical Research
- A paradigm shift in the approach to Alzheimer's disease. From basic mechanisms to clinical aspects and prospective treatment
Writing effectively about your research in papers and funding applications - Prof. Armando Chapin Rodriguez
The aim of the Workshop is to introduce students to the foundations of effective scientific and technical communication, supported by findings from neuroscience, linguistics, and marketing. The theoretical part will be followed by practical exercises in small groups based on students’ own projects.
Project assessment - Prof. Giovanni Navalesi
"And what happen if my scientific/clinical project is not going well? Shall we have some other opportunity or shell we throw on the basket what we have done?"
The course will be focused on how to evaluate the ongoing clinical/ scientific project in terms of GO/NO GO decision, the importance and to have in place techniques of risk based approach, risk planning and risk minimization measures for mitigating any unwanted deviations to the scientific target. On this regard, it will be highlighted the importance of Quality Systems (Standard Operating Procedures) applied to Clinical research project. And in case we should decide not to go ahead with the planned project, can we GO ahead with other different projects? Some examples of drugs that have been Repurposed after NO GO decisions from one clinical indication to another (i.e. Sildenafil) or example of molecules that are developed as Medical devices. The exemples include also drug potentially repurposing for Covid19 infection"
Research Integrity (parte III) - Dott. Roberto Buccione
The value and impact of scientific discovery would be very limited without the communication of findings to peers. Such communication may occur under many forms but most typically, as scholarly publications validated by peer-review. Authorship of research articles in scholarly journals is the most visible and direct form of academic recognition and credit. Funders, policymakers and institutions rely on the published record to identify the authors of scientific findings and their interpretation, and consequently to establish resource allocation, funding attribution, career progression and make hiring decisions. The Authorship and Conflicts of Interest seminar will provide essential information on the proper attribution of authorship, based on community-accepted rules and the current Ospedale San Raffaele and Università Vita-Salute San Raffaele guidelines for research integrity, and a breakdown of the responsibilities and rights associated with authorship. The seminar will also cover information on recognizing and dealing with financial and non-financial conflicts of interest in research.
The term “Open Science” indicates both the movement and the initiatives aimed at enabling full sharing of data and other results of scientific enquiry among peers and the other publics. Open Science therefore includes transparency in experimental methodology and in the observation, collection and publication of data, public availability and reusability of scientific data and finally, the widespread use of web-based tools to facilitate scientific dissemination, collaboration and outreach. The Open Science and Data Sharing seminar aims to provide basic knowledge on the burgeoning Open Science movement including the benefits and challenges of data sharing.
How to peer review scientific papers
Statistical Methods in Biomedical Research - Advanced statistical topics
SRH Innovation Management PhD Course - Prof. Bettanti
1st module: Biopharma Innovation Ecosystems: - The stakeholder model of a biopharma innovation ecosystem
- The stakeholder comparative advantages
2nd module:The Case of Lombardy vs Boston-Cambridge: - A comparison of the driving forces
- A comparison of the value creation pathways
Quality management in scientific research
Leadership and teamwork
Project management
PhD students-invited lectures
Career opportunities seminar series
Attività didattica a.a. 2022/2023
Di seguito è riportato il programma formativo previsto per l'a.a. 2022/2023
Public speaking skills
Corsi specifici per ciascun curriculum - da definire
Problem solving
Research Integrity (parte I)
Corso di statistica
PhD students-invited lectures
Career opportunities seminar series
Corsi specifici per ciascun curriculum - da definire
Scientific communication
Business Planning
Research Integrity (parte II)
Corso di statistica
PhD student-invited lectures
Career opportunities seminar series
Corsi specifici per ciascun curriculum - da definire
How to peer-review scientific papers
Project assessment
Research Integrity (parte III)
Corso di statistica
PhD students-invited lectures
Career opportunities seminar series