Open-access predictive tool could improve monitoring of smoldering multiple myeloma

Dana-Farber Cancer Institute investigators have developed an online, easy-to-use tool that more accurately predicts when a ...
The Lancet

Interpreting the GRACE 3.0 ITE model: from predictive performance to clinical decision utility

I commend Florian A Wenzl and colleagues for extending the use of the Global Registry of Acute Coronary Events (GRACE) 3.0 ...
The American Journal of Managed Care

Predicting Severe Diabetes Complications Using Administrative Claims Data in Maryland

Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...
Scientific Research Publishing

Proposal for a Machine Learning Model to Improve Hauling Productivity in an Open-Pit Mine ()

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Chromatography Online

GC-MS Analysis Unveils Flavor Profiles in Strawberries

The study successfully correlated specific compounds with sensory profiles like sweetness and flavor, offering valuable ...
Devdiscourse

AI in critical care: Predictive algorithms can support sepsis decision-making

A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...

Acrivon Therapeutics to Present Pre-Clinical AP3 Data at the 2026 AACR Annual Meeting Revealing Strong Synergy of ACR-368 with ADC Topo 1 Inhibitor Payloads and of both ACR-368 ...

ACR-368, a CHK1/2 inhibitor in a registrational-intent Phase 2b study, showed potent preclinical synergy with Topoisomerase 1 (Topo 1) ...
BMJ

Estimating prevalence and predictors of glucose-lowering overtreatment among older adults with type 2 diabetes in long-term care and community settings: a machine learning ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

Canary Labs & SORBA.ai Announce Strategic Partnership to Deliver Native Historian-to-AI Stack to Industrial Enterprises

Native integration between Canary Historian & SORBA.ai transforms trusted time-series data into predictive intelligence for reliability and process optimization. JACKSONVILLE, FL, ...