The record holds 934 sourced gains and 771 sourced problems, averaging 68 and 66 on the index score. Readers have logged 22 public signals on the Pulse, which is kept apart and never counted as evidence.
Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.
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A September 2025 scoping review in AI & SOCIETY synthesized 24 empirical studies on generative AI, particularly LLMs, examining how they generate, detect, mitigate, and impact misinformation.
Updated Oct 6, 2026 · TRV-2026-1300
By October 2026, researchers had developed and validated genomic selection models to address phenotyping bottlenecks in breeding watermelon for resistance to Phytophthora capsici fruit rot. Using an interspecific RIL population and an F2 population derived from resistant USVL531-MDR and susceptible parents, they phenotyped inoculated mature fruits and tested fourteen models including Bayesian, regression-based, RKHS, Random Forest, SVM, and XGBoost.
Updated Oct 6, 2026 · TRV-2026-1299
On October 3, 2026, a peer-reviewed assessment in International Journal of Pharmaceutics reviewed smart polymeric-lipid nanoparticles for breast cancer that combine ligand-functionalized targeting, stimuli-responsive release, and machine learning to optimize lipid-polymer ratios, drug loading, and predicted in vivo behavior.
Updated Oct 6, 2026 · TRV-2026-1298
In a controlled prompting study of 34 orthopaedic anaesthesia questions, three LLMs and three expert anesthesiologists generated answers, with GPT-4o and GPT-5.2 tested both with and without clinical practice guidelines. An independent guideline-informed LLM judge performed blinded pairwise comparisons, recording preference, consistency and confidence.
Updated Oct 6, 2026 · TRV-2026-1296
Artificial intelligence (AI) has rapidly transformed cardiac CT, extending its clinical utility from coronary CT angiography (CCTA) to CT myocardial perfusion imaging (CT-MPI). This review outlines the current advances in and future perspectives on AI-aided cardiac CT across anatomical, functional, and prognostic dimensions.
Updated Sep 3, 2026 · TRV-2026-0971
This research proposes a secure, explainable, and context-aware governance framework for blockchain-based digital media contracts in multimodal artificial intelligence-enabled AIoT interactive systems. As digital licensing, NFT copyright management, royalty distribution, and cross-chain content circulation become increasingly embedded in smart media ecosystems, existing contract auditing approaches remain limited by unimodal analysis, weak explainability, black-box decision processes, and insufficient cross-platform generalization.
Updated Sep 3, 2026 · TRV-2026-0965
Background There is increasing recognition that trauma exposure and related psychiatric consequences predict cardiovascular disease risk. However, most research has specifically examined post-traumatic stress disorder-despite evidence that a range of psychiatric disorders may follow trauma.
Updated Sep 3, 2026 · TRV-2026-0964
Artificial intelligence (AI) is rapidly entering dementia clinical practice, offering opportunities across the care continuum. However, cognitive decline creates a unique ethical challenge.
Updated Sep 2, 2026 · TRV-2026-0963
Recomputed live from the record · Oct 12, 2026, 10:21 AM
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