QCManyBody: A flexible implementation of the many-body expansion.

While the many-body expansion (MBE) and counterpoise treatments are commonly used to mitigate the high scaling of accurate ab initio methods, researchers may need to piece together tools and scripts if their primary chosen software does not support targeted features. To further modular software in quantum chemistry, the arbitrary-order, multiple-model-chemistry, counterpoise-enabled MBE implementation from Psi4 has been extracted into an independent, lightweight, and open-source Python module, QCManyBody, with new schema underpinning, application programming interface, and software integrations. The package caters to direct users by facilitating single-point and geometry optimization MBE calculations backed by popular quantum chemistry codes through the QCEngine runner and by defining a schema for requesting and reporting many-body computations.

Nutmeg and SPICE: Models and Data for Biomolecular Machine Learning.

We describe version 2 of the SPICE data set, a collection of quantum chemistry calculations for training machine learning potentials. It expands on the original data set by adding much more sampling of chemical space and more data on noncovalent interactions. We train a set of potential energy functions called Nutmeg on it.

Digital dashboards for direct oral anticoagulant surveillance, intervention and operational efficiency: uptake, obstacles, and opportunities.

Direct oral anticoagulants (DOAC) are the most widely prescribed oral anticoagulants in the United States. Despite advantages over warfarin, system-level improvements are needed to optimize outcomes. While Veterans Health Administration and others have described successful DOAC management dashboard implementation, the extent of use nationally is unknown.

Digital dashboards for oral anticoagulation management: a literature scoping review.

This scoping review summarizes the extent and characteristics of the published literature describing digital population management dashboards implemented to improve the quality of anticoagulant management. A standardized search protocol was executed to identify relevant manuscripts published between January 1, 2015 and May 31, 2022. The resulting records were systematically evaluated by multiple blinded reviewers and the findings from selected papers were evaluated and summarized.