AGA Guideline Paradox: Why Experts Hesitate on CADe

Analyzing why the 2025/2026 AGA Living Guideline declined to fully endorse CADe despite clear increases in adenoma detection rates.
C&EN

Toward Digital Staining using Imaging Mass Spectrometry and Random Forests

Heidelberg Collaboratory for Image Processing (HCI), Interdisciplinary Center for Scientific Computing (IWR), University of Heidelberg, Speyerer Strasse 6, 69115 Heidelberg, Germany, FOM-AMOLF, ...
gut.bmj

Thirty-day postoperative mortality after colorectal cancer surgery in England

1 Colorectal Cancer Epidemiology Group, Centre for Epidemiology and Biostatistics, University of Leeds, St James's Institute of Oncology, St James's Hospital Leeds, Leeds, UK 2 Northern and Yorkshire ...
GitHub

fasteR: Fast Lane to Learning R!

(See notice at the end of this document regarding copyright.) This site is for those who know nothing of R, and maybe even nothing of programming, and seek QUICK, PAINLESS! entree to the world of R.
Nature

An end-to-end mass spectrometry data classification model with a unified architecture

Mass spectrometry, known for its high sensitivity, selectivity, rich structural information, and rapid analysis capabilities, is widely used in disease diagnosis and bioanalysis. Despite progress in ...
GitHub

A Co-evolving Agentic AI System for Medical Imaging Analysis

Tool-level co-evolution & the full agent stack — workflow / entrance / summary agents, customizable tool factories across pathology, radiology, and spatial omics, pixel-level active learning, and ...
ascopubs.org

Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer

For predicting relapse in 1,387 patients with early-stage (I-II) NSCLC from the Spanish Lung Cancer Group data (average age 65.7 years, female 24.8%, male 75.2%), we train tabular and graph machine ...
Visual Studio Magazine

Binary Classification Using a scikit Neural Network

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...
Frontiers

BayCANN: Streamlining Bayesian Calibration With Artificial Neural Network Metamodeling

Purpose: Bayesian calibration is generally superior to standard direct-search algorithms in that it estimates the full joint posterior distribution of the calibrated parameters. However, there are ...
Nature

Deep learning based tissue analysis predicts outcome in colorectal cancer

Image-based machine learning and deep learning in particular has recently shown expert-level accuracy in medical image classification. In this study, we combine convolutional and recurrent ...
Frontiers

Linear mixed-effects models for within-participant psychology experiments: an introductory tutorial and free, graphical user interface (LMMgui)

Why would one use LMMs to analyse within-participant data? Let us consider a hypothetical experiment where a researcher is interested in how quickly human listeners can detect a telephone ringing in ...