2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.AI2026
FormuLLA: A Large Language Model Approach to Generating Novel 3D Printable Formulations
Adeshola Okubena, Yusuf Ali Mohammed, Moe Elbadawi
Pharmaceutical three-dimensional (3D) printing is an advanced fabrication technology with the potential to enable truly personalised dosage forms. Recent studies have integrated ar…
cs.LG2024★ 2 cited
Borrowing Treasures from Neighbors: In-Context Learning for Multimodal Learning with Missing Modalities and Data Scarcity
Zhuo Zhi, Ziquan Liu, Moe Elbadawi +5
Multimodal machine learning with missing modalities is an increasingly relevant challenge arising in various applications such as healthcare. This paper extends the current researc…
cs.LG2024
HgbNet: predicting hemoglobin level/anemia degree from EHR data
Zhuo Zhi, Moe Elbadawi, Adam Daneshmend +4
Anemia is a prevalent medical condition that typically requires invasive blood tests for diagnosis and monitoring. Electronic health records (EHRs) have emerged as valuable data so…