3 papers
cs.AI2026
Is It You or Your Environment? A Bayesian Inference Framework for Genomically-Anchored Personalized Physiological Interpretation
Aruna Dey, Suraj Biswas
Personalized health AI systems face a fundamental cold-start problem: machine learning models for physiological interpretation require weeks of individual behavioral data before th…
cs.AI2026
Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery
Suraj Biswas, Saurabh Gupta, Pritam Mukherjee
Ask a pretrained biomedical language model whether "cortisol 28 ug/dL" and "stock-market volatility" are related, and it returns a cosine similarity of 0.83 on a scale where 1.0 me…
cs.AI2026
You Are in Control of Your State: Why Human Outcomes Are Controllable Through Causal State Intervention
Suraj Biswas, Saurav Gupta, Pritam Mukherjee
A central puzzle for the behavioural sciences and for human-facing artificial intelligence is the persistence of within-person variability. The same individual, presented with the…