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Robotic ultrasound systems improve reproducibility and global accessibility by decoupling the operator from the patient and using 5G telesonography to project diagnostic expertise.

Machine learning analysis of breath volatiles identified candidate markers that discriminated culture-confirmed melioidosis from other febrile illnesses with perfect AUC in a small test set and tracked culture status and treatment time during antibiotics.

AI integration of chemical, biological and clinical data is supporting more informed rational drug design and has contributed to a small but growing number of AI-guided molecules entering clinical development.

Australia's official music charts will now preserve eligibility for releases that are substantially human made.

Quantitative stylometry using Burrows' Delta can reliably separate LLM-generated short stories from human-authored stories, providing a measurable tool for authenticity and authorship checks.

AI-assisted analysis of interview data from a quality improvement evaluation generated four themes that were replicable and grounded in the data.

A lifecycle-oriented operational framework with nine measures was proposed to engineer transparency into AI-enabled medical devices to improve regulatory readiness and calibrated clinical trust.

Among 2453 tertiary-referred children with GDD, a Platt-calibrated L2 logistic regression integrating routine clinical, neurophysiological and genetic data stratified progression to ID with AUC 0.783 and near-ideal calibration, enabling high-PPV triage.

AI applications improved early detection and risk stratification for depression, anxiety, PTSD and suicidal ideation and expanded access through chatbots and mobile platforms for monitoring and self-management.

Generative music tool Treblo enabled an artist to produce a synth-pop track that reached No. 58 on the Billboard Hot 100 and over 35 million Spotify streams, demonstrating AI as a new sound-finding method for charting artists.

UK will train AI models on four years of Ukrainian battlefield data including drone datasets and strike footage to build fibre-optic sensor systems that detect and predict threats to defence sites, railways and energy infrastructure.

Proposes a Four-Dimensional Evaluation Framework for agentic AI in journalism covering technical quality, human-organizational alignment, ethical-governance responsibility, and trust-value impact to balance innovation with accountability.

Causal Forest analysis of Stage II-III gastric cancer patients found lymph node ratio was the dominant predictor of individualized benefit from adjuvant chemotherapy, with high-LNR patients showing improved survival.

AI tools integrated into radiation therapy workflows can improve efficiency by automating organ-at-risk contouring tasks.

In 2230 MIMIC-IV adults with AKI, higher TyG-FI was independently associated with ICU and 28-day mortality and enabled identification of lower-burden versus high frailty-organ dysfunction phenotypes that reproduced in 1831 eICU patients with high agreement.