Research Directions in the Clinical Implementation of Pharmacogenomics: An Overview of US Programs and Projects

Response to a drug often differs widely among individual patients. This variability is frequently observed not only with respect to effective responses but also with adverse drug reactions. Matching patients to the drugs that are most likely to be effective and least likely to cause harm is the goal of effective therapeutics. Pharmacogenomics (PGx) holds the promise of precision medicine through elucidating the genetic determinants responsible for pharmacological outcomes and using them to guide drug selection and dosing. Here we survey the US landscape of research programs in PGx implementation, review current advances and clinical applications of PGx, summarize the obstacles that have hindered PGx implementation, and identify the critical knowledge gaps and possible studies needed to help to address them

Uganda’s Debt Sustainability: Testing The Efficacy of Debt Overhang Theory

The primary objective of this paper is to discern the impact of key economic variables, including primary balance, real interest rate, GDP growth rate, real effective exchange rate, and current account balance, on the long-term and short-term sustainability of the country's debt. Drawing on an array of econometric analyses within the Auto Regressive Distributed Lag framework, the study establishes that a fiscal surplus and sound management positively influence debt sustainability in the long run. However, it reveals that higher real interest rates pose challenges, leading to increased debt loads. While GDP growth's impact remains inconclusive, a fluctuating real effective exchange rate and the influence of the current account balance on debt dynamics emerge as crucial determinants. The study recommends a cautious fiscal approach, interest rate management, economic growth stimulation, exchange rate stability, and a focus on achieving and maintaining current account surpluses as pivotal strategies for ensuring Uganda's long-term debt sustainability. Nonetheless, the study acknowledges limitations related to sample size and endogeneity, encouraging further research to enhance generalizability and address potential omitted variables

Pensioners, Bondholders, and Unfair Discrimination in Municipal Bankruptcy

Detroit recently confirmed its plan of debt adjustment under which the city has endeavored to adjust its pension obligations. The court\u27s confirmation order and oral opinion on the record present what is perhaps the most significant decision regarding a key question facing any city attempting to adjust pensions in bankruptcy: can a city propose to pay its pension claimants significantly more than its other unsecured creditors? This question involves interpreting the Bankruptcy Code\u27s unfair discrimination rule. The Detroit bankruptcy court applied a novel interpretation of unfair discrimination, eschewing the relatively thin body of case law interpreting this rule, and suggesting that the rule should have a municipal bankruptcy-specific meaning. This article contends that there is no need for such a specialized interpretation of unfair discrimination. Many of the factors that motivated the court\u27s departure from the case law can actually be addressed more effectively under the case law developed for corporate reorganization. Adhering to the corporate reorganization statute has statutory and historical support. Further, such a rule would provide a more workable structure for determining when discrimination is unfair

Applications of Artificial Intelligence in the Treatment of Behavioral and Mental Health Conditions

Introduction Artificial intelligence (AI) is the branch of science that studies and designs intelligent devices. For individuals unfamiliar with artificial intelligence, the concept of intelligent machines may bring up visions of attractive human-like computers or robots, like those described in science fiction. Others may consider AI technology to be mysterious machines limited to research facilities or a technical triumph that will come in the far future. Popular media accounts on the deployment of aerial drones, autonomous autos, or the potential dangers of developing super-intelligent technologies may have raised some broad awareness of the subject