Intergrader Agreement on Qualitative and Quantitative Assessment of Diabetic Retinopathy Severity Using Ultra-Widefield Imaging: INSPIRED Study Report 1.

: Discrepancies in diabetic retinopathy (DR) grading are well-documented, with retinal non-perfusion (RNP) quantification posing greater challenges. This study assessed intergrader agreement in DR evaluation, focusing on qualitative severity grading and quantitative RNP measurement. We aimed to improve agreement through structured consensus meetings.

Best practices for multi-fidelity Bayesian optimization in materials and molecular research.

Multi-fidelity Bayesian optimization (MFBO) is a promising framework to speed up materials and molecular discovery as sources of information of different accuracies are at hand at increasing cost. Despite its potential use in chemical tasks, there is a lack of systematic evaluation of the many parameters playing a role in MFBO. Here we provide guidelines and recommendations to decide when to use MFBO in experimental settings.

Seven Actions Towards Advancing Patient Authorship and Collaboration in Peer-Reviewed Publications.

Partnerships between patients and the medical research community are strengthening. Patient involvement in research processes through collaborative workstreams provides authentic insights and perspectives, enhances trust between stakeholders and the patient community, brings balance to authorship groups and adds value and contextualisation to publications. Here, patient advocates, representatives from patient and caregiver communities and pharmaceutical and medical communications professionals propose seven actions to advance patient authorship and collaboration in peer-reviewed publications.

Combining Bayesian optimization and automation to simultaneously optimize reaction conditions and routes.

Reaching optimal reaction conditions is crucial to achieve high yields, minimal by-products, and environmentally sustainable chemical reactions. With the recent rise of artificial intelligence, there has been a shift from traditional Edisonian trial-and-error optimization to data-driven and automated approaches, which offer significant advantages. Here, we showcase the capabilities of an integrated platform; we conducted simultaneous optimizations of four different terminal alkynes and two reaction routes using an automation platform combined with a Bayesian optimization platform.