A machine learning-based clinical predictive tool to identify patients at high risk of medication errors.

A medication error is an inadvertent failure in the drug therapy process that can cause serious harm to patients by increasing morbidity and mortality and are associated with significant economic costs to the healthcare system. Medication reconciliation is the most cost-effective intervention and can result in a 66% reduction in medication errors. To improve patient safety, we developed a machine learning-based tool that prioritizes patients at risk of medication errors upon admission to the hospital to ensure that they undergo medication reconciliation by clinical pharmacists.

Evaluation of a mobile application to decrease opioid misuse in patients undergoing cesarean section: a randomized controlled trial.

Background: Opioid misuse and addiction are at epidemic levels in the United States. Postoperative opioid prescription is inconsistent and often excessive, including for cesarean section patients. Technology, such as mobile applications and clinical decision support tools, can be used to decrease opioid use and misuse among patients, and to determine more appropriate prescribing practices for specific procedures.

Triple Therapy with Telmisartan, Amlodipine, and Rosuvastatin (TAR) Versus Telmisartan/Amlodipine (TA) and Telmisartan/Rosuvastatin (TR) Combinations in Hypertension and Dyslipidemia: A Systematic Review and Meta-analysis.

Introduction: Hypertension and dyslipidemia are common contributors to cardiovascular disease (CVD), often occurring together. Effectively Managing both is key to reducing mortality and morbidity, but complex regimens reduce adherence.

Aim: This study investigated the comparative efficacy and safety of a three-drug regimen (TAR) containing telmisartan, amlodipine, and rosuvastatin against two-drug combinations (TA and TR) for managing hypertension and dyslipidemia.

Evaluation of flavor characteristics in Chinese wheat flour paste using electronic-nose, electronic-tongue, and headspace-gas chromatography-ion mobility spectrometry at different fermentation stages.

Background: Wheat flour paste is a typical Chinese fermented food, valued for its distinct flavors and health benefits. However, evidence regarding volatile organic compounds (VOCs) in Chinese wheat flour paste is limited. This study aims to examine the effect of fermentation on the VOCs and their physicochemical properties.

Adherence to Oral Hormonal Treatment among Breast Cancer Patients in Egypt.

Background: Adjuvant endocrine therapy has been shown to improve treatment outcomes in breast cancer patients. However, not all patients can complete their scheduled treatment protocols. The purpose of this study was to evaluate the adherence to oral hormonal therapy among Egyptian breast cancer patients.