Projects per year
Fingerprint
Dive into the research topics where AoPHA Faculty is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
-
-
Engineering of extracellular vesicles derived from human pluripotent stem cells and their derived cells and their application in the treatment of myocardial infarction
1/07/24 → 30/06/27
Project: Internal Research Project
-
An investigation into a novel gene therapy strategy using extracellular vesicles to encapsulate adeno-associated viruses, aimed at overcoming interference from pre-existing neutralizing antibodies
1/07/24 → 30/06/27
Project: Governmental Research Project
-
Accelerated and controlled polymerization of N-carboxyanhydrides assisted by acids
Liu, X., Huang, J., Wang, J., Sheng, H., Yuan, Z., Wang, W., Li, W., Song, Z. & Cheng, J., 24 Apr 2024, In: CCS Chemistry. p. 1-28 28 p.Research output: Contribution to journal › Article › peer-review
-
A Conceptual Framework for Quantifying the Robustness of a Regression-Based Causal Inference in Observational Study
Li, T., Frank, K. A. & Chen, M., Feb 2024, In: Mathematics. 12, 3, 388.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
A multimodal deep learning framework for automated pulmonary tuberculosis diagnosis utilizing gradient boosting machine integration.
Lu, Z. & Li, T., 10 Aug 2024, (Submitted) In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Article › peer-review
Activities
-
Biomolecules (Journal)
Shining Loo (Reviewer)
1 Oct 2024Activity: Peer-review and editorial work of publications › Publication Peer-review
-
Pharmaceutics (Journal)
Shining Loo (Reviewer)
1 Oct 2024Activity: Peer-review and editorial work of publications › Publication Peer-review
-
Characterizing High-risk Population with Metabolic Syndrome based on Extreme Logistic Regression
Long Bai (Participant) & Chengxiu Ling (Participant)
22 Sept 2024Activity: Other