OPAN is calling for urgent action to address long assessment wait times and unaffordable service pricing, and for the return of cottage respite.
A new whitepaper by regulatory experts IMed Group and life science software developers Firefinch SoftwareOxford, 12th ...
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AI takes healthcare by storm
IMed Group, a provider of regulatory consultancy services to the global medical and health technology industry, and Firefinch ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.
Many small changes since 2024 have ‘added up to one big cut’, advocates say, and the two biggest changes are due to roll out this year ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...
The current Commonwealth Home Support Program (CSHP) is due to wind up in July 2027, however, OPAN has listed increasing wait times, unaffordable essential services, a lack of cottage respite and a ...
The WiC Project on MSN
Did AI shift workplace power faster than anyone expected?
AI changed office hierarchies faster than predicted Keep reading on The WiC Project Lifestyle Blog & Miriam's Boutique: Home ...
Digital health and virtual care continue to expand rapidly, offering transformative opportunities to enhance healthcare ...
Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .
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