6 papers
Feedback-Robust AI for Patient Knowledge Graphs
Mohammed Sameer Syed
Patient knowledge graphs from bedside monitoring should type their relations and state whether the data support their signs. In anesthesia and intensive care, clinicians titrate dr…
Certified AI Triage of ICU Alarms
Mohammed Sameer Syed, Rozhin Yasaei
In the VTaC benchmark 71% of ventricular-tachycardia alarms are false, but silencing a real one can delay recognition of a dangerous arrhythmia. We reframe alarm reduction as three…
ZetaDial: dialing net charge of protein binders at inference time for therapeutic developability
Mohammed Sameer Syed, Tamara Dinneen
Net charge is a developability-relevant property of therapeutic binders, linked to viscosity, clearance, nonspecific interaction and aggregation, and antibody screens already use c…
The Mechanism Matters: When Knowledge Graphs Help Reinforcement Learning
Mohammed Sameer Syed
Knowledge graphs (KGs) are widely used to inject prior knowledge into reinforcement learning (RL), yet the literature is dominated by single-domain, positive-result method papers,…
Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models
Mohammed Sameer Syed, Rozhin Yasaei
As language models take on agentic roles that call APIs, read tool outputs, and act on third-party content, their attack surface expands beyond what users type. Whether they treat…
ShifaMind: A Multiplicative Concept Bottleneck for Interpretable ICD-10 Coding
Mohammed Sameer Syed, Xuan Lu
Automated ICD-10 coding from clinical discharge summaries requires models that are both accurate on long-tailed multi-label classification tasks and interpretable to clinicians. Co…