Integrating Omics Data and AI for Cancer Diagnosis and Prognosis.

Cancer is one of the leading causes of death, making timely diagnosis and prognosis very important. Utilization of AI (artificial intelligence) enables providers to organize and process patient data in a way that can lead to better overall outcomes. This review paper aims to look at the varying uses of AI for diagnosis and prognosis and clinical utility.

Sex differences in clinical risk factors in obese ischemic stroke patients with a history of smoking.

Unlabelled: Clinical risk factors associated obesity and smoking, as well as their combined effect, are not fully understood. This study aims to determine sex differences in risk factors in a population of acute ischemic stroke (AIS) patients who are obese and with a history of previous or current smoking.

Methods: A retrospective analysis of risk factors in male and female AIS patients with baseline data of obesity and current or previous history of smoking, smoking, and obesity alone was determined.

Risk Factors Associated With Exclusion of Obese Patients Ischemic Stroke With a History of Smoking From Thrombolysis Therapy.

The objective of this study is to determine risk factors that may contribute to exclusion decision from recombinant tissue plasminogen activator (rtPA) in patients with acute ischemic stroke (AIS) with a combined current or history of smoking and obesity. This study was conducted on data from 5469 patients with AIS collected from a regional stroke registry. Risk factors associated with inclusion or exclusion from rtPA were determined using multivariate logistic regression analysis.

Riding the wave: a quantitative report of electrocardiogram utilization for myocardial infarction confirmation.

The purpose of this study was to generate a quantitative profile of electrocardiograms (ECGs) for confirming surgical success of permanent coronary artery ligation. An ECG was recorded at baseline, and 0, 1, and 5 min after ligation and analyzed using iWorkx LabScribe software. (C57Bl6/J, = 8/sex) was enrolled to determine ECG characteristics that were confirmed in (C57Bl6/J, = 6/sex; = 6 males/4 females).