Projects and Publications

Previous/Ongoing Projects 

1. 1. Breast Cancer Screening via Microbiome Classification.
   2. Biomedical Named Entity Recognition: simple approaches to tackle the lack of large-scale training data.
   3. Microbiome Classification for Heart Disease Detection.
   4. A Diagnostic Tool Based on Gut Microbiome Classification.
   5. Opinion Mining on Coronavirus Vaccine Hesitancy.
   6. Machine Learning Based Screening Tool for Alzheimer’s Disease.
   7. Microbiome Composition of Heat-resilient Corals.
   8. Multiple sclerosis (MS) Screening via Machine Learning and Microbiome.
   9. Autism  Screening via Machine Learning and Microbiome.
   10. Depression Screening via Machine Learning and Microbiome.
   11. Machine Learning and Microbiome Analysis for Skin Cancer Detection.
   12. Machine Learning Based Screening Tool for Lung Cancer Detection
   13. Screening for Rheumatoid Arthritis Through Microbiome Analysis.
   14. Liver Cancer Screening Tool Using Gut Microbiome Composition.

2024

• A. Zhusubalieva and M. Oudah, “Beyond the Gut Feeling: Machine-Learning Methods for Autism Screening,” In The 24^th International Conference on Bioinformatics and Bioengineering (BIBE2024), Kragujevac, Serbia, 2024. 
  
  
• B. Mohta  and M. Oudah, “Early Screening for Multiple Sclerosis Using Gut Microbiome and Machine Learning,” In The 24^th International Conference on Bioinformatics and Bioengineering (BIBE2024), Kragujevac, Serbia, 2024. 
  
  
• H. Selmani and M. Oudah, “Using Machine Learning for Depression Detection Based on Gut Microbiome,” In the proceedings of The Practical Applications of Computational Biology and Bioinformatics, 18th International Conference (PACBB 2024), Salamanca (Spain), Lecture Notes in Networks and Systems (LNNS) Springer Verlag.
  
  
• P. Daga and M. Oudah, “Machine Learning and Gut Microbiome for Breast Cancer Screening,” In the proceedings of The 21^st IEEE Conference on Computational Intelligence in Bioinformatics and Computational
  Biology (IEEE CIBCB 2024), Natal, Brazil, 2024, pp. 1-7, doi: 10.1109/CIBCB58642.2024.10702110.

2023

• P. Velasquez and M. Oudah, “Machine Learning Based Screening Tool for Alzheimer’s Disease via Gut Microbiome,” In the proceedings of The Practical Applications of Computational Biology and Bioinformatics, 17^th International Conference (PACBB 2023), Guimarães (Portugal), Lecture Notes in Networks and Systems (LNNS) Springer Verlag, 743, pp. 1–11, https://doi.org/10.1007/978-3-031-38079-2_7.
  
  
• H. Yong and M. Oudah, “Identifying Heat-Resilient Corals Using Machine Learning and Microbiome,” In the proceedings of The Practical Applications of Computational Biology and Bioinformatics, 17^th International Conference (PACBB 2023), Guimarães (Portugal), Lecture Notes in Networks and Systems (LNNS) Springer Verlag, 743, pp. 1–9, https://doi.org/10.1007/978-3-031-38079-2_6.

2022

• A. Hodzic and M. Oudah, “Microbiome Classification for Heart Disease Detection,” The 22^nd International Conference on Bioinformatics and Bioengineering (BIBE2022), Taichung, Taiwan, 2022, pp. 237-242, doi: 10.1109/BIBE55377.2022.00057.

• Joishy, Tulsi Kumari, Aashish Jha, Mai Oudah, Santanu Das, Atanu Adak, Dibyayan Deb, and Mojibur Rohman Khan. “Human Gut Microbes Associated with Systolic Blood Pressure.” International Journal of Hypertension. 2022. https://doi.org/10.1155/2022/2923941