most citedAn AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data

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

collaborators

15 papers

cs.AI20262 cited

An AI Co-Data-Scientist for Prioritizing Candidate Biomarkers from Wearable Sensor Data

Yubin Kim, Salman Rahman, Samuel Schmidgall +33

Wearable devices generate continuous physiological and behavioral data, but converting these signals into clinically reviewable biomarker hypotheses remains labor-intensive. We int…

cs.LG2026

WavesFM: Hierarchical Representation Learning for Longitudinal Wearable Sensor Waveforms

Peng Cao, Zhijian Yang, Tennison Liu +17

Wearable sensors enable the continuous acquisition of high-resolution physiological waveforms, such as photoplethysmography and accelerometry, under free-living conditions. However…

cs.AI2026

Towards a Science of Scaling Agent Systems

Yubin Kim, Ken Gu, Chanwoo Park +17

Agents, language model-based systems capable of reasoning, planning, and acting are widely adopted in real-world tasks, yet how their performance changes as these systems scale acr…

q-bio.QM2026

Cardiovascular-Kidney-Metabolic Health: Insights from Wearables and Blood Biomarkers

Zeinab Esmaeilpour, A. Ali Heydari, Daniel McDuff +7

Cardiovascular-Kidney-Metabolic (CKM) syndrome represents a growing public health crisis, yet the subclinical heterogeneity of its component systems remains underexplored. Early de…

cs.AI2026

A Scalable Framework for Evaluating Health Language Models

Neil Mallinar, A. Ali Heydari, Xin Liu +10

Large language models (LLMs) have emerged as powerful tools for analyzing complex datasets. Recent studies demonstrate their potential to generate useful, personalized responses wh…

cs.CV2025

Smartphone monitoring of smiling as a behavioral proxy of well-being in everyday life

Ming-Zher Poh, Shun Liao, Marco Andreetto +10

Subjective well-being is a cornerstone of individual and societal health, yet its scientific measurement has traditionally relied on self-report methods prone to recall bias and hi…