Collaboration Opportunity in Bioinformatics and Omics Research
Join the ML Healthcare Research Group’s project on non-invasive gastric cancer prediction using omics data. Experts in bioinformatics, medicine, and related fields can collaborate and be co-authors on the publication.
The ML Healthcare Research Group is seeking collaborators for an interdisciplinary project on non-invasive prediction of gastric cancer using omics data. This project is open to graduate students, physician-scientists, and researchers in biology, medicine, and omics sciences.
Experts in the following fields are encouraged to apply:
- Molecular or systems biology
- Bioinformatics with a focus on omics data analysis
- Medicine (oncology or gastroenterology)
- Pharmacy or clinical biochemistry with experience in omics-based research
Qualified collaborators will be acknowledged as co-authors on the resulting publication. If interested, please submit your request via our contact form.
Tags: bioinformatics research, omics data analysis, gastric cancer prediction, machine learning in healthcare, interdisciplinary collaboration, cancer research, medical data science