Dear Colleagues,
I am leading a group specialized in applying Artificial Intelligence in Precision/Personalized Oncology, to develop highly accurate (95-100%) predictive models for diagnosis, prognosis, response to treatment, etc. One of our goals is to extract “Big Knowledge” from the continuously increasing flood of microarray and NGS, “Big Data” (e.g., TCGA Data), especially in the form of rules, understandable by human experts and by machines, too. We are now involved in studies discovering rules, for understanding the roles of various molecular species (mRNA, microRNA, etc.) and mutations in cancer, with potential applications, too. To exploit the whole potential of our methodologies, we are looking for collaborators, interested in results to be published in high-impact journals (Nature, Science, PLOS, etc.).
We want our collaborators to extend/complement our expertise in cancer biology and clinics, and data science programming (R, Python, etc.). Collaborators wanting us to extract knowledge from their own data are welcome too. If you are interested or need more details, please contact me:
Alexandru Floares, MD, PhD
Dear Ganesh,
Thank you for your kind invitation. Please send me your book proposal. I am interested, but I cannot promise you that I will write a chapter, being too busy.
Best regards,
Alexandru
Dear alexandru,
would you please give some more details about which kind of collaboration that you want oe need to build, of course i'm intersted in, but some more details should be useful,
with all my best regards,
Younes,
I'm interested in, I can help you in R programming. you can send message my mail. [email protected]
Best regards.
Hi Professor
I'm interested as well working with you, I working currently in 2 metanalysis and also I know how to use Rev Manager, could I have more details about the collaboration ?
Best Regards ...
Hi,
Our team has an interesting experience in applying random forest to predict side effects following prostate cancer radiotherapy. We have also worked in the inclusion of clinical variables in radiobiological models. I think your project could be very interesting.
Best regards.
Dear Colleagues,
Thank you very much for your interesting replies. I am happy to tell you that there are more replies than I expected! Are you so kind to send me the same (researchgate) messages to the following email address: [email protected]. This will allow me to organize the emails and properly reply to all. I already did it for those using this email address. It seems that we are going toward a collaboration network.
Best regards,
Alexandru
Hi Alexandru,
Happy to help where I can. My background is Semantic Web / Linked Data, and my current research is in Fuzzy Data Mining.
Plus you are welcome to come to over to the UK for the Computational Intelligence Unconference UK 2015, which will happen on 15th August 2015 at Kings College in London. Details are here:
http://ciunconference.org/uk/2015/
I'll send you a message by email also.
Daniel Lewis
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