AI Meets Quantum Computing and the Predictions Get Scary Accurate

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

5 AI Models Tried to Scam Me. Some of Them Were Scary Good

I’ve been following your AI Lab newsletter and really appreciate your insights on open-source AI and agent-based ...
Tech Xplore

New twist on generative AI is quietly reshaping who wins when uncertainty hits hardest

Generative AI is best known for creating images and text. Now, it is helping industries make better planning decisions.
Brown University

Do AI language models ‘understand’ the real world? On a basic level, they do, a new study finds

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...
European Medical Journal

HFpEF in Hypertrophic Cardiomyopathy Predicts Poor Outcomes

HFpEF in hypertrophic cardiomyopathy predicts adverse outcomes. Discover how machine learning improves risk assessment.
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, ...
EurekAlert!

A deep learning pathomics platform may help predict response to immunotherapy in lung cancer patients

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung ...
Fierce Biotech

Small pools, big ideas: How the rare disease community is reimagining clinical trials

The traditional gold standard of clinical trials with a randomized, placebo-controlled design involving hundreds of patients ...
AZoSensors

Sensor-Based Nonlinear Metrics Improve Fall Risk Assessment

This study highlights non-linear center-of-pressure features that enhance clinical assessment of fall risk in older adults, ...
Frontiers

Comparative analysis of robotic vs. laparoscopic right hepatectomy: propensity score matching and machine learning analysis for outcome prediction

We retrospectively analyzed patients undergoing RRH and LRH, performing a 1:1 PSM based on preoperative characteristics. Postoperative outcomes were compared, and significant predictors of textbook ...
ascopubs.org

Ensuring Reliability of Curated Electronic Health Record–Derived Data: The Validation of Accuracy for Large Language Model–/Machine Learning–Extracted Information and ...

Early-Stage Breast Cancer in Women Younger Than 50 Years: Comparing American Joint Committee on Cancer Anatomic and Prognostic Stages With Partitioning Around Medoids Clusters in SEER Data Large ...