activity
20232026
most citedProDCARL: Reinforcement Learning-Aligned Diffusion Models for De Novo Antimicrobial Peptide Design

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

MedGate-Fusion: Integrating First-Encounter Semantic Narratives and Physiological Biomarkers for Prospective Stroke Risk Stratification

Hemn Khdr, Mohammad Noaeen, Karim Keshavjee +2

Prospective stroke risk stratification in primary care is challenging because early risk signals are distributed across routine biomarkers and unstructured clinical narratives. We…

q-bio.QM2026★ 1 cited

ProDCARL: Reinforcement Learning-Aligned Diffusion Models for De Novo Antimicrobial Peptide Design

Fang Sheng, Mohammad Noaeen, Zahra Shakeri

Antimicrobial resistance threatens healthcare sustainability and motivates low-cost computational discovery of antimicrobial peptides (AMPs). De novo peptide generation must optimi…

cs.LG2026

Externally Validated Longitudinal GRU Model for Visit-Level 180-Day Mortality Risk in Metastatic Castration-Resistant Prostate Cancer

Javier Mencia-Ledo, Mohammad Noaeen, Zahra Shakeri

Metastatic castration-resistant prostate cancer (mCRPC) is a highly aggressive disease with poor prognosis and heterogeneous treatment response. In this work, we developed and exte…

cs.CY2025★ 1 cited

Multimodal Generative AI and Foundation Models for Behavioural Health in Online Gambling

Konrad Samsel, Mohammad Noaeen, Neil Seeman +3

Online gambling platforms have transformed the gambling landscape, offering unprecedented accessibility and personalized experiences. However, these same characteristics have incre…

cs.LG2023

Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization

Xiaocan Li, Ray Coden Mercurius, Ayal Taitler +4

Perimeter control maintains high traffic efficiency within protected regions by controlling transfer flows among regions to ensure that their traffic densities are below critical v…