Platinum-based compounds are the most widely used anticancer drugs but, their elevated toxicity and chemoresistance has stimulated the study of others, such as ruthenium-based compounds. NAMI-A and UNICAM-1 were tested in vitro, comparing the mechanisms of toxicity, in terms of mitochondrial functionality and cellular oxidative stress. UNICAM-1, showed a clear mitochondrial target and a cytotoxic dose-dependent response thanks to its ability to promote an imbalance of cellular redox status. It impaired directly mitochondrial respiratory chain, promoting mitochondrial superoxide anion production, leading to mitochondrial membrane depolarization. All these aspects, could make UNICAM-1 a valid alternative for chemotherapy treatment of breast cancer.Optical coherence tomography (OCT) is an imaging technique used to obtain three-dimensional information on the retina. In this article, we evaluated the structural neuro-retinal abnormalities, especially the thickness in the ganglion cell complex (GCC), in patients with mitochondrial myopathy, encephalopathy, lactic acidosis and stroke-like episodes (MELAS). The GCC thickness in MELAS patients was significantly thinner than that in normal controls even when they had no history of transient homonymous hemianopia. There was a negative correlation between GCC thickness and disease duration. In conclusion, OCT may be an effective tool to monitor and predict disease progression in MELAS patients.

The pulsed-electron avalanche knife (PEAK) PlasmaBlade TnA (Medtronic, n.d.) is a relatively new electrosurgical technology that is used widely in head and neck surgery (Medtronic Manuals, n.d.). This study aims to summarize device malfunctions, patient complications, and subsequent interventions related to PEAK PlasmaBlade TnA during tonsillectomy and adenoidectomy.

The US Food and Drug Administration’s Manufacture and User Facility Device Experience database was queried for reports of PlasmaBlade TnA adverse events from June 6, 2009, to August 30, 2020. Data were extracted from reports pertaining to tonsillectomy with or without adenoidectomy.

128 reports were identified, from which 163 adverse events were extracted. Of these, 23 (14.6%) were related to patients, and 140 (85.4%) were related to device malfunction. The most frequently reported patient-related adverse event was a burn injury (17 [73.9%]). The most common device malfunctions were dislodgment of device component (39 [27.9%]), followed by tip ignition (32 [22.9%]), damaged tip or wire during operation (28 [20%]), and melted device (24 [17.1%]).

PEAK PlasmaBlade TnA have demonstrated utility in tonsillectomy with or without adenoidectomy but are associated with adverse events. Interventions aimed at improving both physician and patient education may help reduce adverse events attributed to improper use. Further study is needed to clarify optimal approaches to education.

PEAK PlasmaBlade TnA have demonstrated utility in tonsillectomy with or without adenoidectomy but are associated with adverse events. Interventions aimed at improving both physician and patient education may help reduce adverse events attributed to improper use. Further study is needed to clarify optimal approaches to education.The use of machine learning to guide clinical decision making has the potential to worsen existing health disparities. Several recent works frame the problem as that of algorithmic fairness, a framework that has attracted considerable attention and criticism. However, the appropriateness of this framework is unclear due to both ethical as well as technical considerations, the latter of which include trade-offs between measures of fairness and model performance that are not well-understood for predictive models of clinical outcomes. To inform the ongoing debate, we conduct an empirical study to characterize the impact of penalizing group fairness violations on an array of measures of model performance and group fairness. We repeat the analysis across multiple observational healthcare databases, clinical outcomes, and sensitive attributes. We find that procedures that penalize differences between the distributions of predictions across groups induce nearly-universal degradation of multiple performance metrics within groups. On examining the secondary impact of these procedures, we observe heterogeneity of the effect of these procedures on measures of fairness in calibration and ranking across experimental conditions. Beyond the reported trade-offs, we emphasize that analyses of algorithmic fairness in healthcare lack the contextual grounding and causal awareness necessary to reason about the mechanisms that lead to health disparities, as well as about the potential of algorithmic fairness methods to counteract those mechanisms. In light of these limitations, we encourage researchers building predictive models for clinical use to step outside the algorithmic fairness frame and engage critically with the broader sociotechnical context surrounding the use of machine learning in healthcare.

Obesity is rapidly becoming one of the world’s most critical health care concerns. Comorbidities accompanying excess weight include cardiovascular disease, diabetes, and certain cancers. These comorbidities result in greater hospitalization and other health care-related costs. Economic impacts are likely to be felt more acutely in developing countries, where obesity rates continue to rise and health care resources are already insufficient. Some of the more effective treatments are invasive and expensive surgeries, which some economies in the world cannot afford to offer to a broad population. Pharmacological therapies are needed to supplement treatment options for patients who cannot, or will not, undergo surgical treatment. However, the few drug therapies currently available have either limited efficacy or safety concerns. A possible exception has been glucagon-like peptide-1 analogs, although these have shown a number of adverse events. DisodiumCromoglycate New drug therapies that are safe and produce robust weight loss are non of the receptor system, impact on energy homeostasis, and identification of molecules suitable for administration to humans as anti-obesity treatments. New and exciting research on GDF15 suggests that it holds promise as a novel obesity treatment as new molecules progress toward clinical development.