miércoles, 15 de noviembre de 2017

Sports



In our society obesity is a big problem, and at a world level it is one of the most prevalent conditions that affect people. Overweight is the main risk factor to many illness principally cardiovascular diseases.

A sport culture is a key point to fight against the obesity and overweight. To motivate to do sport, to have good infrastructure, to include more sport in the school are good strategies to have a healthy population.

In my case, I have a complicated relationship with sports, I have ever liked to do sports, but none of them I was passionate about, when I was a child and a teenager I did many sports as football, basketball and handball, but I did not like them. Then, I noticed that I did not like team sports, so I started to do swimming and I loved it, here I found a sport that I enjoyed and wanted to be best. After that I wanted to go deeper in the water and know what there is under the surface, so I started to dive.
Diving is the most wonderful experience that I have lived, to feel the weight of the water, to see the fishes in their natural environment and to feel as one of them, to see starfish bigger than my head could only be possible at 20 meter down. Diving you can explore another part of the world, the bigger part of our planet is under the water, so if you do not dive, you will not be able to know the whole world.

Resultado de imagen para buceoTo dive you only need a great concentration, do not be afraid about the closed spaces and to keep calm in every moment, because an accelerated reaction could be fatal. The most important skill is to want to discover new things with a new perspective.

miércoles, 8 de noviembre de 2017

Postgradute Studies

When I finished my undergraduate education as a pharmacist, I felt that I was not prepared enough, so I started my master in Pharmaceutical Science, developmenting clinical pharmacology, I wanted to understand how the medication can affect to real patients in the real world and how I could try to improve the pharmacological therapy.

When I finished my master's thesis I wanted to know more and continue learning about how defferent patients respond in different ways with the same medication, so I applyed for a PhD and started to develop Pharmacogenetics. Thit is how the genetics can affect the response to a treatment and searching of understanding why some patient have success with the therapy and why other develop adverse effects.

Nowdays, we have a lot of basic knowledge about the relationship between gen expression and the response to drugs, but we can not predict accurately this response, so we can not use in the clinical practice.

Now, if I can I would like to study "Machine Learning", this area is related to the computational science and artificial intelligence, that allow an automatic learning of the computers. I want to learn this subjects because is the best way to predict the behaviour in complex systems as the human body, I want to take this knowledge and apply it in my own field. In this way I could predict what patient is going to be wellwith the medication and who of them is going to have and adverse event.

USA is the best country to learn Machine Learning, so I would like to go there to learn this subject in vivo, because I need to learn programming and the best way is with a partner or a team.

With this technology we can mix all the factors in one model, not only genetics: behaviour, social, therapeutics, pathological and physiological factors could be used to predict the answer.  The most important advantage of Machine Learning is that when you add the information of a new patient the predictive model could improve its performance and be better and better.

What do you think about develop the diagnosis and prognosis of our patients using mathematical models in our country?

Resultado de imagen para machine learning