 My opinion is a new emerging approach of dealing with treatment and prevention, which will allow to answer questions like, will this treatment work on this patient? For example. In my opinion, precision medicine is the way to take different treatment-made preventions based on individual patients claiming records, genes or environments or lifestyles and so on. And then in this case, we can achieve better treatment efficiency or reduce adverse effects. Machine learning in general provides efficient ways of analyzing large amounts of data. In the medical field, this could mean that monitoring at risk patients can be done at a lower time cost to the clinicians, which would allow them to focus more on patient interaction. As a result, they could reach out to a larger amount of people and increase the amount of time spent with each individual. There's vast amounts of medical data collected by most people all around the world. So for example, genetic data collected by biobanks or electronic health records filled in by your doctor every time you visit them or even your sports watch or fitness monitor collecting information about your sleeping patterns, your heart rate, your stress levels and so on. We really need the help of machine learning algorithms, sophisticated machine learning algorithms that can handle this vast amount of different kinds of medical data to provide better healthcare decisions for everyone. My project aims to aid research in psychiatry in several ways using machine learning. We're working in developing software for understanding the behavior of animal models that we have that represent even psychiatric disease such as chronic stress or major depression. Modulated mental health disorders such as lung disorders, depression and deletion are heavily affecting people's quality of life. However due to the complex and unstable nature of these disorders, the day-by-day tracking and analysis of them is a major challenge in mental health My project aims to develop machine learning approaches to model the evolution of these type of disorders from possibly collected behavioral data from mobile phones and other variable devices of patients. What is special about being an FPM fellow is the fact that we have the possibility to easily develop international bonds both on the friendship level and on the professional level of course. I'm very grateful for being part of the MLFPM group. It's a wonderful group of people that offer support all the time and it is full of experts not only in your very specific niche of expertise but also in many related fields which offers a ton of opportunities for collaboration as well and yeah I think it's a privilege that you have to utilize wisely because all the conditions are set to do wonderful things so yeah I'm extremely excited about being part of this program and I'm super happy.