Healthcare & Artificial Intelligence Courses
Health issues in the work place
Considering the individual at the heart of the whole healthcare ecosystem requires to also consider his/her health issues in the context of professional life. This course addresses all health issues connected to the work place, analyzing how work conditions can have negative impacts on the health of employees and managers, and trying to find out some ways to improve health at the work place, considering that is a pre-requesite for companies' performance.
Medtech and digital startup
The goal of the course is to immerse you into the design and implementation of innovative concepts and technologies through role playing sessions and experience feedbacks. This course will be organized in interactive sessions where students will get to build the medtech of tomorrow. Examples of sessions include open lab, design thinking, living lab, experiments, and usages. The course will be illustrated by success stories of health & digital start ups.
Ethics and policy risks of artificial intelligence in healthcare
This course gives an overview of the social and ethical issues of the use of Artificial Intelligence Technologies. It presents a critical approach to analyse and understand the underlying challenges. It covers three main dimensions of ethical issues. First, it focuses on data security and privacy, two main factors in Healthcare. Then it raises the question of a responsible artificial intelligence compliant with fairness, accuracy, confidentiality and transparency. Finally, it considers the impact of automatization thanks to AI technology on employment and therefore, society as a whole.
Patient data for diagnosis and prevention
In this course, the participants are given the possibility to understand the different types of data generated through a health pathway (e.g. image, gene sequences, administrative data, etc.) and the tools required to extract useful insight from these data. Techniques such as image processing, modelling or sequence alignment will be covered.
Interacting with artificial intelligence
This module introduces important tools related to human-computer interactions. Human perception is a complex phenomenon which relies on non-linear biological sensors, working in cooperation with the brain. The complexity of the human senses allows us to deal with bad environmental conditions such as crowd noise or illumination variations. In order to interact with humans with efficiency, computers have to mimic these abilities, which implies that they have to take into account the mechanisms involved in the environment of the interlocutor (ambient noise and light), and the perception mechanisms of humans (sensors and brain parts).
Big data and artificial intelligence in healthcare: challenges and Issues
This course introduces the specific contex of Artificial Intelligence technologies implementation in the healthcare domain. It focuses on the main techniques that are currently bringing disruptions in healthcare: Machine learning (supervised, unsupervised, reinforcement), deep learning and autonomous agents. Real life cases (aid for diagnosis, robotic assistance, virtual assistance, etc.) are presented to participants and discussed, some of these innovations having led to success both technically and economically, others to some kind of failure.
Biomedical devices and sensors
The objective of this course is to provide you with basic knowledge of biomedical engineering and design, or the characteristics of the material used as interface with the biological system. This course will have as main lead the regulation policies impacting the development of such devices. Different issues related to biomedical devices and sensors are covered, from concept generation and evaluation to regulation and business perspectives.
“Omics” and nanotechnologies
This course aims to enable you to acquire the basic notions of nanotechnologies and “omics” strategies used in life sciences. These notions are essential to pursue a career in the field of data science and IA devoted to the healthcare field. In addition, it will cover the main diagnostic and therapeutic tools currently available or undergoing development. Three main topics are addressed during this course: basic concepts of cellular biology, “omics” strategy, and finally nanotechnologies as diagnostic and therapeutic agents.
In addition to the courses above, you will also attend various seminars in Saint-Etienne (Mines Saint-Etienne and CHU - hospital units)
Technical disruptions and business model transformations call for organizational change. As a consequence, people and teams also have to invent ways to collaborate and create value collectively. The objectives of this course are the following: leveraging methods of collective intelligence, learning how to build the conditions for effective cooperation and adopting a posture that promotes working together. This course will rely on role-playing, peer-to-peer learning and group work in order to experiment different approaches and methods for collective intelligence.
Change management should be an important issue for any company or organization facing major transformation. Dealing with change management means considering various organizational dimensions: analysis of power relations, information systems, reward systems and individual and behavioral dimensions. Confronted to change, human beings tend to demonstrate some level of resistance. This course will give participants the key to analyze and understand behaviors in front of drastic changes and will develop leadership postures in order to coach for change.
Intercultural management and negociation