British Journal of Ophthalmology

Commentary on ‘identifying patients with poor visual outcomes after primary rhegmatogenous retinal detachment surgery using machine learning’

The paper by Sajiki et al 1 gives us a fascinating glimpse of the potential benefits of applying machine learning to large ...
Technology Networks

AI in the LIMS: How Machine Learning Is Changing Research Data Management

AI in LIMS platforms is reshaping research data management, from automated data capture to anomaly detection. Discover how ...

Artificial Intelligence vs. Machine Learning: Which skills will open better career options in the global tech market?

Artificial Intelligence and Machine Learning are transforming industries globally, creating vast career prospects. While AI ...
Pharmaceutical Technology

De-risking drug formulation with AI predictive modelling

Through predictive modelling, AI supports target identification, prediction of physicochemical properties and formulation strategy selection.
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Aerospace and Mechanical Insider on MSN

AI and machine learning transform materials testing

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...
technologynetworks

Multiomics Data Integration With Machine Learning: Methods, Tools, and Biological Applications

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...