V. Subbiah

Molecular Biology · 2015–2023

A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom V. Subbiah trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Irina Degtiar
  2. Sherri Rose
  3. Eric J. Topol
  4. Timothy E Vaughan
  5. James Heywood

Papers from V. Subbiah's perspective

Ordered by how strongly the researchers V. Subbiah trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Digital twins to personalize medicine (Genome Medicine)
  2. Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
  3. The n-of-1 clinical trial: the ultimate strategy for individualizing medicine? (Personalized Medicine)
  4. Accelerated clinical discovery using self-reported patient data collected online and a patient-matching algorithm (Nature Biotechnology)
  5. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation (New England Journal of Medicine)
  6. A Review of Generalizability and Transportability (Annual Review of Statistics and Its Application)
  7. Translational research: Crossing the valley of death (Nature)
  8. Applications of continual learning machine learning in clinical practice
  9. Key challenges for delivering clinical impact with artificial intelligence
  10. Adversarial attacks on medical machine learning (Science)

Their papers