Devdiscourse

Artificial intelligence unlocks real-time insights into complex aquatic ecosystems

Read more about Artificial intelligence unlocks real-time insights into complex aquatic ecosystems on Devdiscourse ...

PanGIA Biotech Announces Peer-Reviewed Study in Diagnostics Showing 97.8% Sensitivity in Detecting Prostate Cancer Using a Urine-Based Liquid Biopsy with Machine Learning

PanGIA Biotech, Inc. ("PanGIA") announced a peer-reviewed clinical study published in Diagnostics, "Urine-Based Machine Learning Assay Detects Prostate Cancer," (1) demonstrating clinical validation ...
The Lancet

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...

Language Scientific Highlights the Role of AI-Assisted Medical Translation Review in Regulated Content

April 01, 2026 - PRESSADVANTAGE - As global clinical research and cross-border healthcare operations continue to ...
Morning Overview on MSN

AI model flags multiple dementias from a single blood sample

Researchers have built a machine-learning model that can distinguish between Alzheimer’s disease, dementia with Lewy bodies, ...

When the model is the machine

On one side, operations and quality leaders are under pressure to deploy machine learning that can meaningfully reduce ...

Vetology Expands Public AI Validation Dashboard to 11 Metrics Per Classifier, Commits to Ongoing Model Retraining

Company publishes full statistical profiles for 89+ classifiers, reinforcing that building AI is only half the job. SAN DIEGO, April 1, 2026 /PRNewswire/ -- Vetology, a provider of AI-generated ...
Frontiers

Translating Machine Learning and Artificial Intelligence in Medicine: Focus on Clinical Impact

Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...
Frontiers

External validation and application of a machine learning–based model for diabetes progression in prediabetes

This study externally validated a machine learning–based model for type 2 diabetes progression (ML-PR) and evaluated its clinical utility in individuals with prediabetes. We included 3,081 ...
ahajournals.org

Development and Validation of a Machine Learning Model to Predict Oral Anticoagulant Use in Stroke From Prothrombin Time–International Normalized Ratio and Activated Partial ...

Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable medication history. We investigated whether routinely available ...
IEEE

Interpretable Machine Learning Model Based on SOFA Score for ICU Sepsis Mortality Prediction with Multicenter Validation

The Sequential Organ Failure Assessment (SOFA) score is a widely employed scoring system in clinical practice for predicting mortality in patients with sepsis. The integration of machine learning ...