The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particularly on individuals with chronic kidney disease (CKD). COVID-19 patients with CKD will face a ...

This study aimed to predict arginine vasopressin deficiency (AVP-D) following transsphenoidal pituitary adenoma surgery using machine learning algorithms. We reviewed 452 cases from December 2013 to ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

Neurologists use millisecond-level M/EEG tracking to prove the human brain and AI language models organize and predict language using parallel processing principles.

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — but from algorithms. Dr. Robert Kissell. Kissel is the creator of ...

MEDDDICAL releases a guide for pharma data scientists and RWE Directors on building outcome prediction models with real-world ...

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

Quantum computers, systems that process information leveraging quantum mechanical effects, have the potential of ...

New algorithm enables cost-optimized operation of residential heat pumps Researchers in Austria have developed a new predictive control algorithm that can reportedly improve comfort levels in houses ...