Tootfinder

Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025
Matthew A. Reyna (Department of Biomedical Informatics, Emory University, Atlanta, USA), Zuzana Koscova (Department of Biomedical Informatics, Emory University, Atlanta, USA), Jan Pavlus (Department of Biomedical Informatics, Emory University, Atlanta, USA), Soheil Saghafi (Department of Biomedical Informatics, Emory University, Atlanta, USA), James Weigle (Department of Biomedical Informatics, Emory…

Detection of Chagas Disease from the ECG: The George B. Moody PhysioNet Challenge 2025
Objective: Chagas disease is a parasitic infection that is endemic to South America, Central America, and, more recently, the U.S., primarily transmitted by insects. Chronic Chagas disease can cause cardiovascular diseases and digestive problems. Serological testing capacities for Chagas disease are limited, but Chagas cardiomyopathy often manifests in ECGs, providing an opportunity to prioritize patients for testing and treatment. Approach: The George B. Moody PhysioNet Challenge 2025 invites …

Aligned, Multiple-transient Events in the First #PalomarSkySurvey / Transients in the Palomar Observatory Sky Survey (POSS-I) may be associated with nuclear testing and reports of unidentified anomalous phenomena: https://iopscience.iop.org/article/10.1088/1538-3873/ae0afe / https://www.nature.com/articles/s41598-025-21620-3 -> Unexpected patterns in historical astronomical observations: https://www.su.se/english/news/unexpected-patterns-in-historical-astronomical-observations-1.855042 -> summary of why these papers are doubtful: https://x.com/MickWest/status/1980690132543107204 - links to deep discussions.

Testing confirmed the patient has H5N5, a strain of bird flu that has previously been reported in animals but never before in humans
https://abcnews.go.com/Health/suspected-human-bird-flu-case-1st-us-9/story?id=127519769

1st US human bird flu case in 9 months confirmed with strain only seen in animals before
The patient is an older adult with underlying health conditions.

Many optimization problems assume exact inputs and total orders.
But what if uncertainty affects f — or if it returns a tuple, or a set instead of a single value?
Our new preprint explores how to handle such cases systematically:
Optimization under uncertainty — understanding orders and testing programs with specifications
👥 Botta, Jansson & Richter
📄

Before you head out for the weekend, check out today's Metacurity for the most critical infosec developments you should know, including
--Chinese state hackers used Anthropic to automate cyber intrusions,
--UK MoD knew of Excel's security risks before Afghan data leak,
--NHS investigates Clop's attack claims,
--ASUS patches DSL router critical flaws,
--DoorDash reveals October security incident,
--US feds warn of Akira's expanded encryption …

Chinese state hackers used Anthropic to automate cyber intrusions
UK MoD knew of Excel's security risks before Afghan data leak, NHS investigates Clop's attack claims, ASUS patches DSL router critical flaws, DoorDash reveals October security incident, US feds warn of Akira's expanded encryption capabilities, Kraken is testing how fast it can encrypt, much more

git #bisect-ing a kernel on real hardware sucks. I can at least be grateful I'm not testing on my main machine. The #firmware wait times are huge and the grub window so tiny you can't leave it to it. I need to apply patches at each stage that touch pgtable so almost everything needs to be re…

Weekend Reads
* EDNS client subnet in practice
https://farrokhi.net/posts/2025/10/edns-client-subnet-in-practice-evaluating-public-resolver-behaviors/
* BGP-based DDoS scrubbing services survey

Geometric Model Selection for Latent Space Network Models: Hypothesis Testing via Multidimensional Scaling and Resampling Techniques
Jieyun Wang, Anna L. Smith
https://arxiv.org/abs/2510.06136

Geometric Model Selection for Latent Space Network Models: Hypothesis Testing via Multidimensional Scaling and Resampling Techniques
Latent space models assume that network ties are more likely between nodes that are closer together in an underlying latent space. Euclidean space is a popular choice for the underlying geometry, but hyperbolic geometry can mimic more realistic patterns of ties in complex networks. To identify the underlying geometry, past research has applied non-Euclidean extensions of multidimensional scaling (MDS) to the observed geodesic distances: the shortest path lengths between nodes. The difference in…

How many samples to label for an application given a foundation model? Chest X-ray classification study
Nikolay Nechaev, Evgenia Przhezdzetskaya, Viktor Gombolevskiy, Dmitry Umerenkov, Dmitry Dylov
https://arxiv.org/abs/2510.11553

How many samples to label for an application given a foundation model? Chest X-ray classification study
Chest X-ray classification is vital yet resource-intensive, typically demanding extensive annotated data for accurate diagnosis. Foundation models mitigate this reliance, but how many labeled samples are required remains unclear. We systematically evaluate the use of power-law fits to predict the training size necessary for specific ROC-AUC thresholds. Testing multiple pathologies and foundation models, we find XrayCLIP and XraySigLIP achieve strong performance with significantly fewer labeled …