How the monitored publications were assessed

Discourse valence across every scored item: what the sampled sources published and how independent models read it. It is not a measure of public opinion, not a measure of the state of the world, and article volume is not agreement.

19 items read as mixed or uncertain

• Scalable Oversight for AI in Mental Health: Lessons from 350,000 AI Coaching Conversations between Therapy Sessions
  -18 arXiv cs.CY (Computers and Society) 2026-09-10 low agreement · ±165
• Single-nucleus transcriptome-wide association study of human brain disorders
  -16 Nature 2026-09-23 low agreement · ±110
• Large Language Models Versus Physicians in Traditional Chinese Medicine: A Real-World Clinical Case Evaluation
  -8 arXiv cs.CY (Computers and Society) 2026-09-17 low agreement · ±135
• BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering
  -5 arXiv cs.AI 2026-09-28 low agreement · ±175
• A Comparative Framework for Evaluating Foundation Models on Tabular Data: A Case Study in Healthcare
  -4 arXiv cs.CY (Computers and Society) 2026-09-22 low agreement · ±175
• When Reconstruction Is Not Enough: Doubly Robust Counterfactual and Interventional Mediation Analysis with Learned Multimodal Representations
  0 arXiv cs.LG (Machine Learning) 2026-10-23 single model
• Do Vision CIL Methods Transfer to Protein? A Diagnostic Benchmark of Frozen Protein Encoders
  0 arXiv cs.LG (Machine Learning) 2026-10-15 single model
• Introducing SynthID Bio
  0 Google DeepMind 2026-09-30 single model
• RFK Jr outlines expansive vision for collecting US health data at Maha event
  0 The Guardian: Artificial Intelligence 2026-09-29 single model
• Global maps of travel time to emergency and tertiary hospitals
  0 arXiv cs.CY (Computers and Society) 2026-09-14 single model
• New AI health tools need ‘L-plates’, says UK review
  0 Financial Times: Artificial Intelligence 2026-09-09 single model
• Introducing Quine: An AI research system designed for the complexity of biology
  +2 Microsoft Research 2026-09-29 low agreement · ±175
• From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health
  +4 arXiv cs.CY (Computers and Society) 2026-09-23 low agreement · ±170
• UK needs new laws for AI in healthcare, says watchdog
  +4 BBC News: Technology 2026-09-10 high agreement · ±10
• Decision language models as affordable and rapid alternatives to LLM judges of clinical generative AI
  +6 arXiv cs.AI 2026-10-23 low agreement · ±160
• Didactic knowledge or Clinical Cases? How Data Types Shape Medical Large Language Models
  +10 arXiv cs.AI 2026-09-23 single model
• Early Data Indicates an A.I.-Generated Drug Could Slow Aging
  +10 The New York Times: Technology 2026-09-07 low agreement · ±170
• How a team of AIs discovered a promising lung-cancer drug
  +12 Nature 2026-09-17 low agreement · ±175
• Offline Apprenticeship Learning for Human-Centric Environments
  +16 arXiv cs.LG (Machine Learning) 2026-10-22 low agreement · ±175

Across the whole window

The two tables below describe every item in the last 365 days under medicine. They are deliberately not narrowed by the reading filter (currently mixed or uncertain), because a mean taken only over items already selected for their score would just restate the filter.

By topic

By source

A source's mean says how the items it published were read. It is not a rating of the source.