Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
Researchers evaluated eight deep-learning natural language processing models to phenotype antidepressant treatment response from routine clinical notes in the Mass General Brigham system. Using 111,572 patients from 1990-2018 and 4,299 manually reviewed note sets across 2 days to 26 weeks after initiation, models distinguished 'improved' versus 'no evidence of improvement' with strong discrimination.
By July 2026, researchers reported converting electronic health records into plain text by replacing medical codes with natural-language descriptions, then using general-purpose large language models to produce embeddings for downstream clinical prediction without access to private medical training data. They tested this approach on 15 tasks from the EHRSHOT benchmark and in an external validation using UK Biobank.
In a retrospective analysis of 405 patients from six European centers, investigators built machine learning models to predict 5-year overall survival and second primary cancer risk in nasopharyngeal carcinoma, a rare cancer in Europe. The cohort had a median age of 52, was 91.6% White/European ancestry, and showed 66.6% 5-year survival with 12.8% developing second primaries.
A retrospective multicenter study of 863 incident hemodialysis patients examined whether the uric acid to HDL-cholesterol ratio combined with intact parathyroid hormone could predict protein-energy wasting, which was present in 59.2% of the cohort. Researchers applied ROC analysis, logistic regression, and ten machine learning models with SHAP interpretability, trajectory and mediation analyses.
A Guardian letters page publishes a response to a 20 November story about students fighting back over a course taught by AI. The writer, a recent doctoral graduate on fixed or zero-hours contracts, says each taught hour may take days of unpaid preparation and describes creating work plans, assessments, reading lists and tutorial tasks for three modules, while disagreeing with lecturers' decision to use artificial intelligence to create teaching materials but understanding the incentives.
The article reports that despite broad public worry about AI, upcoming large IPOs including SpaceX will push AI exposure into ordinary Americans' pension plans and investment portfolios, linking household financial futures to tech firms whose current revenue comes from internet access but whose capital needs are driven by AI ambitions like orbital datacenters.
Accenture has begun calling its near 800,000 employees reinventors as part of a push to be seen as a leader in artificial intelligence. The term came from a June reorganisation that combined strategy, consulting, creative, technology and operations into Reinvention Services, and chief executive Julie Sweet has started using the label internally while the firm pushes broader adoption.
Two years ago at age 39, after 15 years as a freelance writer and novelist, the author began training to teach English with the aim of helping young people become stronger readers, writers and thinkers. As training progressed, a persistent question about what to do about artificial intelligence created growing uncertainty.
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