CONCLUSIONS: In a first-in-kind application of PRS to inform breast cancer screening approaches, we demonstrate feasibility for scaled implementation, moderate changes to individual screening recommendations, and minimal projected downstream burden on the healthcare system. →

«`html The State of Voice AI in 2025: Trends, Breakthroughs, and Market Leaders Persona & Context Understanding The target audience for this article includes business leaders, technology managers, and decision-makers in sectors such as healthcare, finance, and retail. Their pain points revolve around the need for efficient automation, enhanced customer engagement, and improved operational outcomes.… →
«`html How to Cut Your AI Training Bill by 80%? Oxford’s New Optimizer Delivers 7.5x Faster Training by Optimizing How a Model Learns The Hidden Cost of AI: The GPU Bill AI model training typically consumes millions of dollars in GPU compute—a burden that shapes budgets, limits experimentation, and slows progress. Training a modern language… →
OpenAI Releases an Advanced Speech-to-Speech Model and New Realtime API Capabilities Understanding the Target Audience The target audience for OpenAI’s latest release includes business leaders, software developers, and IT managers in enterprises seeking to enhance their operational efficiency through advanced AI technologies. Their pain points often revolve around integrating AI solutions into existing infrastructures, ensuring… →
Clinical trials demonstrate that screening can reduce lung cancer mortality by over 20%. However, lung cancer screening effectiveness (reduction in lung cancer specific mortality) may vary by personal risk-factors. Here we evaluate heterogeneity in lung cancer screening effectiveness through traditional sub-group analyses, predictive modelling approaches and machine-learning in individual-level data from the Dutch-Belgian lung cancer… →

CONCLUSIONS: This study suggests a positive effect of music interventions on postoperative delirium, which provides additional evidence for considering the implementation of these interventions in hip fracture care. →

«`html Memory-R1: How Reinforcement Learning Supercharges LLM Memory Agents Understanding the Target Audience The target audience for Memory-R1 primarily consists of AI researchers, business managers, and technology executives interested in the integration of artificial intelligence with business processes. Their pain points include: The limitations of current LLMs in handling persistent memory. Challenges in accurately reasoning… →
Chris Gash / theispot.com The Research To understand the intellectual property knowledge that executives need and may be missing, the authors fielded a survey to an upper-echelon sample of 407 senior IP managers: 321 from the IAM 300 list, and a convenience sample of 86 senior IP strategists from the researchers’ networks. Data was collected… →
OBJECTIVE: To evaluate the efficacy of heel lifts in people with midportion Achilles tendinopathy. DESIGN: This was a parallel-group randomized, sham-controlled, participant- and assessor-blinded trial conducted at a single center (Victoria University, Institute for Health and Sport, Melbourne, Australia). METHODS: One hundred and eight participants (38 females and 70 males; mean age, 48 years; standard… →

Background: There has been increasing interest in the use of artificial intelligence (AI)-enabled clinical decision support systems (CDSS) for the personalization of major depressive disorder (MDD) treatment selection and management, but clinical studies are lacking. We tested whether a CDSS that combines an AI which predicts remission probabilities for individual antidepressants and a clinical algorithm… →
