Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
Researchers in Beijing built logistic regression and XGBoost models that predict bone scintigraphy diagnostic categories before scanning. They found that probability calibration restores reliability.
Read the original →Researchers in Pakistan trained deep learning models to distinguish four histopathologically similar inflammatory skin diseases, reaching up to 96.67 percent accuracy. They used Grad-CAM++ heatmaps in the work.
Read the original →The 4th CREATE Symposium charts a commercialization path for the future of smart healthcare.
Read the original →The article says remote patient monitoring has an alert fatigue problem, not a data problem. It sets out what agentic AI changes.
Read the original →A €20 million EU-funded initiative called CHAIN has launched. It aims to build a federated ecosystem for validating and scaling artificial intelligence in cardiovascular care across Europe.
Read the original →Vitalize has raised $31 million in Series A funding to expand its AI platform for managing hospital labor and capacity in real time. Oak HC/FT led the financing, with participation from Norwest, .406 Ventures, Constellation Ventures, Y Combinator, Rock Health Capital and MemorialCare Innovation Fund.
Read the original →The American Hospital Association is responding to claims from insurers accusing health systems of improperly coding.
Read the original →Hong Kong stocks fell on Wednesday, tracking broader weakness in Asian markets as oil prices rose. AI-related and biotech shares led the decline. At the close, the Hang Seng index slipped 0.6%, and the Hang Seng China Enterprises Index also fell 0.6%.
Read the original →As computational biology and AI reshape drug discovery, pharmaceutical companies must protect not just the final compound but also the datasets, models and biological insights behind it. The article examines the evolving intellectual property landscape, where 90% of clinical candidates still fail.
Read the original →The government has backed the National Commission into the Regulation of AI in Healthcare in full. The MHRA will begin testing continuous safety surveillance of AI-enabled devices.
Read the original →The Medicines and Healthcare products Regulatory Agency (MHRA), supported by the Department of Health and Social Care, formally confirmed the complete adoption of all 44 recommendations from the independent National Commission into the Regulation of AI in Healthcare. The description says the policy implementation ends the historic paradigm of one-off approvals. It describes this as a major structural recalibration within the domestic life sciences and digital technology sectors.
Read the original →Utah and its Pro-Human AI Taskforce announced a Healthcare pillar for the Pro-Human AI Initiative. Tracy Gruber, Commissioner of the Utah Department of Health and Human Services, joins the Taskforce as a new member. The addition expands the regulatory sandbox's capabilities and participants within the Utah Department of Commerce's Office of Artificial Intelligence Policy, along with policy recommendations and milestones.
Read the original →A new review in Medical Oncology details how liquid biomarkers, advanced imaging and artificial intelligence are changing how prostate cancer is distinguished from benign disease before a biopsy.
Read the original →The press release from Albatrus Inc. was issued on October 7, 2026. It says Osaka Keisatsu Hospital is introducing the AI core system 'Apollo AI' as part of a smart hospital initiative, to speed up the use of iPhone, generative AI and in-hospital data.
Read the original →Shortages of workers supporting daily-life infrastructure such as healthcare, nursing care, construction and logistics have been pointed out. Attention is turning to highly skilled personnel called 'Advanced Essential Workers' (AEW).
Read the original →HRBrain Inc. announced on the 5th a new feature in its 'HRBrain Organizational Diagnosis Survey'. The feature, called 'AI Improvement Action Suggestions', has AI automatically generate improvement actions for organizational issues identified from survey results.
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