While much attention has been given to how COVID-19 patients are treated (or fail to be treated), the impact of the pandemic on illicit drug users remains largely undiscussed. The consequences of COVID-19 on substance users and on the health care system are exposed.

Tissues are composed of various types of interacting cells [1]. To understand the cellular organization and function in tissues, it is necessary to identify all of the different cell types and the locations of these different cell types within tissue structures. The transformative advances in experimental and computational methods will help us to build the complex map of the tissues and study how tissue organization influences the cell’s molecular state and interactions in healthy and diseased tissue.

Type 2 diabetes mellitus (T2DM) is a metabolic disease defined by hyperglycemia. If not treated, chronic and even short periods (i.e. weeks) of undesirable hyperglycemia increases the risk for developing diabetic microvascular complications such as retinopathy, neuropathy, nephropathy, foot ulcers and amputations, and macrovascular complications such as cardiovascular disease including stroke

This paper presents an enhanced Physics-Informed Neural Network (PINN) methodology for structural beam deflection analysis, introducing three methodological contributions that address computational challenges in mechanics: a penalty-based boundary condition enforcement framework, a time-decaying adaptive boundary loss weight, and a regularized representation of concentrated loads via Gaussian approximation.