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Showing 1–7 of 7 results

Advanced filters: Author: Daniel A. Donoho Clear advanced filters

regionalpcs improve discovery of DNA methylation associations with complex traits

Understanding gene-level methylation is key to studying diseases like Alzheimer’s disease. Here, the authors introduce regionalpcs, a method that improves sensitivity by analysing methylation patterns with principal components, revealing genes linked to Alzheimer’s disease risk.

Tiffany Eulalio
Min Woo Sun
Stephen B. Montgomery
ResearchOpen Access03 Jan 2025
Nature Communications

Volume: 16, P: 1-19
In vitro modeling of the human dopaminergic system using spatially arranged ventral midbrain–striatum–cortex assembloids

MISCOs are spatially arranged ventral midbrain–striatum–cortical organoids that enable investigations into the human dopaminergic system.

Daniel Reumann
Christian Krauditsch
Jürgen A. Knoblich
ResearchOpen Access05 Dec 2023
Nature Methods

Volume: 20, P: 2034-2047
A vision transformer for decoding surgeon activity from surgical videos

A machine learning system leveraging a vision transformer and supervised contrastive learning accurately decodes elements of intraoperative surgical activity from videos commonly collected during robotic surgeries.

Dani Kiyasseh
Runzhuo Ma
Andrew J. Hung
ResearchOpen Access30 Mar 2023
Nature Biomedical Engineering

Volume: 7, P: 780-796
Simulated outcomes for durotomy repair in minimally invasive spine surgery

Alan Balu
Guillaume Kugener
Daniel A. Donoho
ResearchOpen Access10 Jan 2024
Scientific Data

Volume: 11, P: 1-8
A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons

Kiyasseh et al. compare the quality of feedback provided to surgeons by artificial intelligence (AI) to that provided by human experts. Teaching an AI system to explicitly follow human explanations improves the reliability and reduces the bias of AI-based feedback.

Dani Kiyasseh
Jasper Laca
Andrew J. Hung
ResearchOpen Access30 Mar 2023
Communications Medicine

Volume: 3, P: 1-12
Human visual explanations mitigate bias in AI-based assessment of surgeon skills

Dani Kiyasseh
Jasper Laca
Andrew J. Hung
ResearchOpen Access30 Mar 2023
npj Digital Medicine

Volume: 6, P: 1-12
Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video

Dhiraj J. Pangal
Guillaume Kugener
Daniel A. Donoho
ResearchOpen Access17 May 2022
Scientific Reports

Volume: 12, P: 1-10