Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

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 ...

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 ...

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.

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, ...

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

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

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

Around the world, algorithms are increasingly being asked to do something once reserved for human judgment: help decide who should remain free and who should be deprived of liberty. In recent years, ...