{
  "id": 17331927,
  "title": "When Does Active Learning Improve ADMET Prediction? A Multi-Endpoint Benchmark",
  "url": "https://urgent.news/2026/10/30/when-does-active-learning-improve-admet-prediction-a-multi-endpoint",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-30T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.26.761649v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Experimental ADMET profiling is essential to drug discovery but incredibly costly that only a fraction of candidate molecules can be measured, motivating active learning to prioritize informative compounds. However, evidence remains limited on how acquisition strategies and uncertainty estimators interact across different ADMET tasks. Thus, we present a protocol-matched benchmark of seven…",
  "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."
}