BMJ Open

Study protocol for optimising antipsychotic prescribing among hospitalised patients in the acute care setting in Scotland: a national retrospective cohort study

Introduction Prescribing high-dose antipsychotics is typically reserved for individuals with treatment-resistant severe ...
Scientific Research Publishing

Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms ()

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
TMCnet

ECOG-ACRIN and Caris Life Sciences unveil first findings from a multi-year collaboration to advance AI-powered multimodal tools for breast cancer recurrence …

Today at the San Antonio Breast Cancer Symposium (SABCS), researchers presented the initial findings from a major multi-year ...

How Neuro-Symbolic AI Breaks the Limits of LLMs

On the customer-facing side, Amazon has introduced Rufus, a new generative AI-powered conversational shopping experience. It ...
The American Journal of Managed Care

New 9-Gene Classifier May More Accurately Predict Metastasis Across STS, Other Cancers

Producing the highest accuracy, the 9-gene set produced became the basis of the final classifier. When applied to multiple ...
Tech Xplore

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
ascopubs.org

Development and validation of machine learning risk prediction models for detection of early-onset colorectal cancer: Data from 30 health systems in the United States.

Multicentric evaluation of an artificial intelligence model to stratify stage II colon cancer patients from whole slide images.
Frontiers

Construction and validation of a machine learning based prognostic prediction model for children with traumatic brain injury

Department of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Hennan, China Objective: This study aimed to establish a prediction model for the short-term prognosis of ...