{
  "id": 1605142,
  "title": "Towards a Physiological Scaling Law: Model Quality vs. Cohort Size for Stochastic Sequence Data",
  "url": "https://urgent.news/2026/08/17/towards-a-physiological-scaling-law-model-quality-vs-cohort-size-for",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-17T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.11.744303v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Scaling laws help determine the optimal data size for training large models but are established in domains where the target is deterministic. Physiological signals are different: heartbeat sequences are stochastic, so part of the error is irreducible even with large amounts of data. Metrics such as MAE do not account for non-deterministic behavior, and therefore assessing scaling requires…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}