Anti-cancer effect of midazolam via downregulating YWHAH in papillary thyroid cancer cells.

The work is aimed to investigate whether midazolam functions in thyroid cancer and reveal the potential mechanism of action. Cell viability was detected by CCK-8 method when treated by varying doses of midazolam to detect the cytotoxicity of midazolam on human thyroid follicular epithelial cell line and thyroid cancer cell lines. In thyroid cancer cells, EDU staining, wound healing and transwell assays were respectively used to detect cell proliferation, migration and invasion.

Profile and methodology of ancillary protective measures employed during percutaneous renal cryoablation in a single high-volume centre.

Objectives: To evaluate the at-risk organs that require protection during percutaneous cryoablation (PCA) of renal tumours and the correlation with patient and target lesion characteristics, type of protective measure used and postoperative outcomes.

Materials And Methods: Single-centre retrospective review of patients with renal tumours who underwent PCA between 2008 and 2020. Final analysis included 374 tumours.

Palliative Care Initiated in the Emergency Department: A Cluster Randomized Clinical Trial.

Importance: The emergency department (ED) offers an opportunity to initiate palliative care for older adults with serious, life-limiting illness.

Objective: To assess the effect of a multicomponent intervention to initiate palliative care in the ED on hospital admission, subsequent health care use, and survival in older adults with serious, life-limiting illness.

Design, Setting, And Participants: Cluster randomized, stepped-wedge, clinical trial including patients aged 66 years or older who visited 1 of 29 EDs across the US between May 1, 2018, and December 31, 2022, had 12 months of prior Medicare enrollment, and a Gagne comorbidity score greater than 6, representing a risk of short-term mortality greater than 30%.

Enhanced sampling of robust molecular datasets with uncertainty-based collective variables.

Generating a dataset that is representative of the accessible configuration space of a molecular system is crucial for the robustness of machine-learned interatomic potentials. However, the complexity of molecular systems, characterized by intricate potential energy surfaces, with numerous local minima and energy barriers, presents a significant challenge. Traditional methods of data generation, such as random sampling or exhaustive exploration, are either intractable or may not capture rare, but highly informative configurations.