2 citations · 2 across the 3 of their papers we have counts for
4 papers
VECT-GAN: A variationally encoded generative model for overcoming data scarcity in pharmaceutical science
Youssef Abdalla, Marrisa Taub, Eleanor Hilton +7
Data scarcity in pharmaceutical research has led to reliance on labour-intensive trial-and-error approaches for development rather than data-driven methods. While Machine Learning…
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…
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…
In vitro and sensory tests to design easy-to-swallow multi-particulate formulations
Marco Marconati, Felipe Lopez, Catherine Tuleu +2
Flexible dosing and ease of swallowing are key factors when designing oral drug delivery systems for paediatric and geriatric populations. Multi-particulate oral dosage forms can o…