Dear All,
The
ML Healthcare Research Group, active at the intersection of
bioinformatics,
machine learning, and
medical data science, is currently conducting an interdisciplinary project focused on
non-invasive prediction of gastric cancer based on omics data.
This research offers an opportunity for
graduate students (M.Sc./Ph
.D.), physician-scientists, academic faculty, and researchers in the fields of biology, medicine, and omics sciences to contribute their expertise in the biological and clinical interpretation of the findings. Qualified collaborators will be acknowledged as
co-authors on the resulting publication.
We are currently seeking collaboration with experts in one or more of the following fields:
Molecular or systems biology
Bioinformatics with a focus on omics data analysis (especially metabolomics)
Medicine (preferably oncology or gastroenterology)
Pharmacy or clinical biochemistry with experience in omics-based research
If you are interested in joining this project, please send your request via our website.
(use the contact form)
Machine learning in Healthcare (MH)Best,
Arman
__Best Regards,
Arman Daliri,
Instructor of Computer Science.
Department of Computer Engineering, Ka, C.
Islamic Azad University,
Karaj, Iran.
LinkedIn, Researchgate, Github, Scholar, Machine learning in Healthcare (MH)