aibiomedlab.com

Our Research

AI-Driven Bioinformatics

Advanced Radiomics and Medical Imaging

Leveraging AI and machine learning to analyze biological data, we uncover insights into gene expression, protein structures, and biological pathways. Our research aims to improve disease detection and personalized medicine through bioinformatics.

Advanced Radiomics and Medical Imaging

By applying AI to medical imaging, we extract meaningful features from radiological data to aid in early diagnosis, treatment planning, and monitoring of diseases such as cancer. Our work advances precision medicine by utilizing deep learning in radiomics.

AI-Powered Proteomics and Genomics

Advanced Radiomics and Medical Imaging

AI-Powered Proteomics and Genomics

We explore how AI can enhance the understanding of protein functions, interactions, and genetic data. Our focus is on integrating AI to study complex biological systems, driving advancements in drug discovery and precision healthcare.

Grants

Assessment of Nutritional Deficiency Patterns and Pharmacotherapy Outcomes in Patients admitted to Emergency and Intensive Care Units [Co-PI] - Funded by: National Science and Technology Council (NSTC), Taiwan (August 2024 - July 2027)
Towards interpretable genotyping of non-small cell lung cancer: an explainable AI approach leveraging CT-based radiomics [PI] - Funded by: Higher Education Sprout Project, Ministry of Education (MOE), Taiwan (January 2023 - December 2024)
The Development and Validation of a Prediction Algorithm for First-Onset and Recurrence of Major Depression in General Population: A Genetic, Epigenetic and Drug Repurposing Approach [Co-PI] - Funded by: Higher Education Sprout Project, Ministry of Education (MOE), Taiwan (January 2023 - December 2023)
Develop IL-19 antibody immunotherapy and unravel immunosuppressive mechanism in peritumoral region of glioblastoma by single cell transcriptome analysis [Co-PI] - Funded by: National Health Research Institutes (NHRI), Taiwan (January 2023 - December 2025)
Sequence-based protein function prediction using graph transformers and deep representative learning [PI] - Funded by: National Science and Technology Council (NSTC), Taiwan (August 2022 - July 2025)
Development of innovation optoelectronic AI detection technology, antibacterial materials, and machine learning database construction for catheterization-associated urinary tract infection in patients [Co-PI] - Funded by: Taipei Medical University Hospital (TMUH) - Taipei Medical University (TMU), Taiwan (May 2022 - April 2023)
The application of artificial inteligence to predict the clinical outcome through MRI imaging in patients with nasopharyngeal carcinoma [Co-PI] - Funded by: Wan Fang Hospital (WFH) - Taipei Medical University (TMU), Taiwan (May 2022 - April 2023)
Incorporating transfer learning and CT radiomics in classifying molecular subtypes of NSCLC [PI] - Funded by: Higher Education Sprout Project, Ministry of Education (MOE), Taiwan (January 2022 – December 2022)
The development and validation of a prediction algorithm for first onset of major depression in general population: a genetic, epigenetic and drug-driven approach [Co-PI] - Funded by: Higher Education Sprout Project, Ministry of Education (MOE), Taiwan (January 2022 – December 2022)
Machine learning algorithm for classification of Ductal carcinoma in situ and minimal invasive breast cancer on mammography [Co-PI] - Funded by: Higher Education Sprout Project, Ministry of Education (MOE), Taiwan (January 2022 – December 2022)
Research Grant for “110 Top International Journal Award” [PI] - Funded by: Taipei Medical University (TMU), Taiwan (January 2022 – December 2022)
DeepNLP-DNA: a pre-trained NLP model for DNA sequence representation using deep transformers and 2D convolutional neural networks [PI] - Funded by: Ministry of Science and Technology (MOST), Taiwan (August 2021 – July 2023)
An artificial intelligence system for precision lung cancer based on clinical big data [Co-PI] - Funded by: Ministry of Science and Technology (MOST), Taiwan (May 2020 – April 2024)
Incorporating radiogenomics and NLP to improve the predictive performance of lung cancer recurrence [PI] - Funded by: Higher Education Sprout Project, Ministry of Education (MOE), Taiwan (January 2020 – December 2021)
Research Grant for Newly Hired Faculty [PI] - Funded by: Taipei Medical University (TMU), Taiwan (January 2020 – December 2021)
GPU Grant [PI] - Funded by: NVIDIA Corporation (USA)

Publications

Selected publications

Luong T.M.T., Ho N.T., Hwu Y.M., Lin S.Y., Ho J.Y.P., Wang R.S., Lee Y.X., Tan S.J., Lee Y.R., Huang Y.L., Le N.Q.K., Tzeng C.R. (2024). Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation. J Assist Reprod Genet, 41, 2349–2358. https://doi.org/10.1007/s10815-024-03178-7.
Binh L.N., Nhu N.T., Vy V.P.T., Son D.L.H., Hung T.N.K., Bach N., Huy H.Q., Tuan L.V., Le N.Q.K. & Kang J.H. (2024). Multi-Class Deep Learning Model for Detecting Pediatric Distal Forearm Fractures Based on the AO/OTA Classification. J Imaging Inform Med, 37, 725–733. https://doi.org/10.1007/s10278-024-00968-4.
Nguyen H.S., Ho D.K.N., Nguyen N.N., Tran H.M., Tam K.W., & Le N.Q.K. (2024). Predicting EGFR Mutation Status in Non–Small Cell Lung Cancer Using Artificial Intelligence: A Systematic Review and Meta-Analysis. Acad Radiol, 31(2), 660-683. https://doi.org/10.1016/j.acra.2023.03.040.
Le N.Q.K. (2023). Predicting emerging drug interactions using GNNs. Nat Comput Sci 3, 1007–1008. https://doi.org/10.1038/s43588-023-00555-7.
Minh T.N.T., Le V.H., & Le N.Q.K. (2023). Diffusion-tensor imaging and dynamic susceptibility contrast MRIs improve radiomics-based machine learning model of MGMT promoter methylation status in glioblastomas. Biomed Signal Process Control, 86, Part A, 105122. https://doi.org/10.1016/j.bspc.2023.105122.
Le V.H., Kha Q.H., Minh T.N.T., Nguyen V.H., Le V.L., & Le N.Q.K. (2023). Development and validation of CT-based radiomics signature for overall survival prediction in multi-organ cancer. J Digit Imaging, 36, 911–922. https://doi.org/10.1007/s10278-023-00778-0.
Yuan Q., Chen K., Yu Y., Le N.Q.K., & Chua M.C.H. (2023). Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding. Brief Bioinform, 24(1), bbac630. https://doi.org/10.1093/bib/bbac630.
Hung T.N.K., Vy V.P.T., Tri N.M., Hoang L.N., Tuan L.V., Ho Q.T., Le N.Q.K., & Kang J.H. (2023). Automatic Detection of Meniscus Tears Using Backbone Convolutional Neural Networks on Knee MRI. J Magn Reson Imaging, 57:740-749. https://doi.org/10.1002/jmri.28284.
Kha Q.H., Ho Q.T., & Le N.Q.K. (2022). Identifying SNARE Proteins Using Alignment-Free Method Based on Multi-Scan Convolutional Neural Network and PSSM Profiles. J Chem Inf Model, 62(19), 4820-4826. https://doi.org/10.1021/acs.jcim.2c01034.
Le N.Q.K., Ho Q.T., Nguyen T.T.D., & Ou Y.Y. (2021). A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information. Brief Bioinform, 22(5), bbab005. http://doi.org/10.1093/bib/bbab005.

Learn More

For full publication list, please go to the below link.

Find out more

Principal Investigator

Le Nguyen Quoc Khanh PhD

Associate Professor

Taipei Medical University

I am currently an Associate Professor with the In-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University (TMU), Taiwan. I am also a joint Associate Professor with the International Master/PhD Program in Medicine (IGPM-TMU), International Ph.D. Program for Cell Therapy and Regeneration Medicine (IPCTRM-TMU) and TMU Research Center for Artificial Intelligence in Medicine.
Prior to joining TMU, I was a Research Fellow at the Medical Humanities Research Cluster, School of Humanities, Nanyang Technological University (NTU), Singapore. I received my MS and PhD degree in the Department of Computer Science and Engineering, Graduate Program in Biomedical Informatics, Yuan Ze University (YZU), Taiwan.

Members

Bui Xuan Lam MD

Luong Thi My Trang MD

Master student, IGPM

(Sep 2024 intake)

Luong Thi My Trang MD

PhD student, IGPM

(Sep 2024 intake)

Bui Tien Dung MD

Luong Thi My Trang MD

Lam Quang Tuan MD

PhD student, IGPM

(Sep 2024 intake)

Lam Quang Tuan MD

Luong Thi My Trang MD

Lam Quang Tuan MD

PhD student, DENTAL

(Sep 2024 intake)

Nguyen Ky Phat

Wan-Ying Lin (林宛瑩) MD

Master student, IGPM

(Sep 2024 intake)

Wan-Ying Lin (林宛瑩) MD

Master student, AIIM

(Sep 2023 intake)

Nguyen Mai Hanh MD

Wan-Ying Lin (林宛瑩) MD

Nguyen Mai Hanh MD

PhD student, IPCTRM

(Sep 2022 intake)

Le Nguyen Binh MD

Wan-Ying Lin (林宛瑩) MD

Nguyen Mai Hanh MD

PhD student, IGPM

(Sep 2022 intake)

Le Huu Nhat Minh MD

PhD student, IGPM

(Sep 2022 intake)

Kha Quang Hien MD

Le Huu Nhat Minh MD

PhD student, IGPM

(Sep 2022 intake)

Nguyen Thi Tuyen

Le Huu Nhat Minh MD

Nguyen Thi Tuyen

PhD student, ICTU

(Jul 2022 intake)

Nguyen Thanh Huy

Le Huu Nhat Minh MD

Nguyen Thi Tuyen

PhD student, IGPM

(Sep 2021 intake)

Alumni

Jennifer Hsieh (謝臻怡) MD MS

Tran Nguyen Tuan Minh MD PhD

AIIM (graduated in 2024)

Tran Nguyen Tuan Minh MD PhD

IGPM (graduated in 2024)

Lin Ning (林寧) MD MS

Tran Nguyen Tuan Minh MD PhD

Lin Ning (林寧) MD MS

AIIM (graduated in 2024)

Do Thi Duyen PhD

Tran Nguyen Tuan Minh MD PhD

Lin Ning (林寧) MD MS

GIBI (graduated in 2024)

Tran Thi Oanh PhD

Luu Ho Thanh Lam MD PhD

Dang Huy Hoang MD PhD

IPCTRM (graduated in 2024)

Dang Huy Hoang MD PhD

Luu Ho Thanh Lam MD PhD

Dang Huy Hoang MD PhD

IPCTRM (graduated in 2024)

Le Viet Huan MD PhD

Luu Ho Thanh Lam MD PhD

IGPM (graduated in 2023)

Luu Ho Thanh Lam MD PhD

IGPM (graduated in 2022)

Truong Nguyen Khanh Hung MD PhD

IGPM (graduated in 2022)

Randy Lin (林治毅) MS

Truong Nguyen Khanh Hung MD PhD

AIIM (graduated in 2022)

Lara Lin (林佩諭) MS

Truong Nguyen Khanh Hung MD PhD

Nancy Cheng (程春燕) MS

AIIM (graduated in 2022)

Nancy Cheng (程春燕) MS

Truong Nguyen Khanh Hung MD PhD

Nancy Cheng (程春燕) MS

AIIM (graduated in 2022)

Contact Us

We’d Love to Collaborate!

We welcome collaborations on AI and biomedicine projects. If you’re interested in partnering or learning more about our research, feel free to reach out.

TMU AIBioMed Research Group

臺北醫學大學 Taipei Medical University, 信義區吳興街250號, 臺北市, Taipei 110, Taiwan

Hours

Open today

09:00 am – 05:00 pm

Advancing AI in Biomedicine

Advancing AI in Biomedicine

Our Research

AI-Driven Bioinformatics

Advanced Radiomics and Medical Imaging

Advanced Radiomics and Medical Imaging

Advanced Radiomics and Medical Imaging

Advanced Radiomics and Medical Imaging

Advanced Radiomics and Medical Imaging

AI-Powered Proteomics and Genomics

Advanced Radiomics and Medical Imaging

AI-Powered Proteomics and Genomics

Grants

Publications

Selected publications

Learn More

Principal Investigator

Le Nguyen Quoc Khanh PhD

Members

Bui Xuan Lam MD

Luong Thi My Trang MD

Luong Thi My Trang MD

Luong Thi My Trang MD

Luong Thi My Trang MD

Luong Thi My Trang MD

Bui Tien Dung MD

Luong Thi My Trang MD

Lam Quang Tuan MD

Lam Quang Tuan MD

Luong Thi My Trang MD

Lam Quang Tuan MD

Nguyen Ky Phat

Wan-Ying Lin (林宛瑩) MD

Wan-Ying Lin (林宛瑩) MD

Wan-Ying Lin (林宛瑩) MD

Wan-Ying Lin (林宛瑩) MD

Wan-Ying Lin (林宛瑩) MD

Nguyen Mai Hanh MD

Wan-Ying Lin (林宛瑩) MD

Nguyen Mai Hanh MD

Le Nguyen Binh MD

Wan-Ying Lin (林宛瑩) MD

Nguyen Mai Hanh MD

Le Huu Nhat Minh MD

Le Huu Nhat Minh MD

Le Huu Nhat Minh MD

Kha Quang Hien MD

Le Huu Nhat Minh MD

Le Huu Nhat Minh MD

Nguyen Thi Tuyen

Le Huu Nhat Minh MD

Nguyen Thi Tuyen

Nguyen Thanh Huy

Le Huu Nhat Minh MD

Nguyen Thi Tuyen

Alumni

Jennifer Hsieh (謝臻怡) MD MS

Tran Nguyen Tuan Minh MD PhD

Tran Nguyen Tuan Minh MD PhD

Tran Nguyen Tuan Minh MD PhD

Tran Nguyen Tuan Minh MD PhD

Tran Nguyen Tuan Minh MD PhD

Lin Ning (林寧) MD MS

Tran Nguyen Tuan Minh MD PhD

Lin Ning (林寧) MD MS

Do Thi Duyen PhD

Tran Nguyen Tuan Minh MD PhD

Lin Ning (林寧) MD MS

Tran Thi Oanh PhD

Luu Ho Thanh Lam MD PhD

Dang Huy Hoang MD PhD

Dang Huy Hoang MD PhD

Luu Ho Thanh Lam MD PhD

Dang Huy Hoang MD PhD

Le Viet Huan MD PhD

Luu Ho Thanh Lam MD PhD

Luu Ho Thanh Lam MD PhD

Luu Ho Thanh Lam MD PhD

Luu Ho Thanh Lam MD PhD

Luu Ho Thanh Lam MD PhD