Viking Therapeutics, Inc. ("Viking") (NASDAQ: VKTX), a clinical-stage biopharmaceutical company focused on the development of novel therapies for metabolic and endocrine disorders, today announced ...

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...

The integration of artificial intelligence (AI) and data science in education is revolutionizing learning environments, reshaping research methodologies, and transforming pedagogical strategies ...

Feel like summers are hotter than they used to be? It's not just your imagination. Climate researchers say that average annual temperatures around the country have been trending upwards for the past ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Objective: The purpose of this study was to analyse the risk factors for bleeding after proctologic surgery, provide a reference for clinical management and improve postoperative recovery in patients.

Healthcare is in the midst of a data-driven revolution. With the convergence of big data, machine learning and AI, the sector is becoming smarter, faster and more predictive. These technologies are ...

On May 23, President Trump issued an executive order entitled “Restoring Gold Standard Science.” And, in news that may surprise our readers, it sounds remarkably good, focusing on issues like ...

ABSTRACT: In order to solve the problem of chronic heart failure risk prediction in the elderly, a logistic regression modeling framework with Bayesian method was proposed, aiming to solve the problem ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...