BIOENGINEER

Machine learning model flags unstable carotid plaques from routine clinical data

A retrospective study of 449 patients found that a LightGBM machine learning model predicted carotid plaque instability with ...
BIOENGINEER

Machine Learning Models Predict Gangrenous Cholecystitis Before Surgery

A retrospective single-center study of 487 patients developed interpretable machine learning models that predict gangrenous ...
udaipurkiran.com

AI Model Identifies Diabetes Risk in Fatty Liver Disease Patients

Researchers have created a machine learning model that identifies patients with non-alcoholic fatty liver disease (NAFLD) at ...

Evaluation of Drug-Drug Interactions and AI: How to Use Predictive Models Under ICH M12

Hello.This is Pharmer.In the previous article, "How Far Can Machine Learning Be Used to Predict Protein Binding Rates?", we ...

Jev Fever: Predictive AI Is Superhot Again

A new breed of models has rejuvenated predictive AI. But successful deployment demands a new business-value playbook.
Yale Environment 360

A step toward clinically useful brain-behavior machine learning models

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

Production-Level Machine Learning in FinTech: Designing Data Integrity, Model Validation, and Reliable Decision-Making Systems

Machine learning in financial services operates under different constraints than general-purpose prediction systems.In areas ...
ascopubs.org

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study

Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal ...
techtarget

7 predictive analytics skills to improve simulation modeling

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...