Tootfinder

Cowboys' Jones: Experimental drug saved my life https://www.espn.com/nfl/story/_/id/45966147/cowboys-jerry-jones-says-no-tumors-stage-4-melanoma

Cowboys' Jerry Jones reveals he survived stage 4 cancer battle over 10 years: 'I now have no tumors'

https://www.cbssports.com/nfl/news/cowboys

Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
Thuy Ngoc Nguyen, Anita Williams Woolley, Cleotilde Gonzalez
https://arxiv.org/abs/2509.09314

Measuring Implicit Spatial Coordination in Teams: Effects on Collective Intelligence and Performance
Coordinated teamwork is essential in fast-paced decision-making environments that require dynamic adaptation, often without an opportunity for explicit communication. Although implicit coordination has been extensively considered in the existing literature, the majority of work has focused on co-located, synchronous teamwork (such as sports teams) or, in distributed teams, primarily on coordination of knowledge work. However, many teams (firefighters, military, law enforcement, emergency respon…

So many first timers at #DH2025 - I'm so excited for you all! Library folk, there's a special interest group (SIG) meeting on Monday. Regional DH associations meet throughout the week
If you get overwhelmed easily, suggesting smaller dinners after receptions can keep things manageable

As US regulators restrict Covid mRNA vaccines
and as independent vaccine advisers re-examine the shots, scientists fear that an unlikely target could be next: 👉cancer research.
Messenger RNA, or mRNA, vaccines have shown promise in treating and preventing cancers that have often been difficult to address -- such as pancreatic cancer, brain tumors and others.
🆘 But groundbreaking research could stall as federal and state officials target mRNA shots,
including ending fe…

Artificial Intelligence-Based Classification of Spitz Tumors
Ruben T. Lucassen, Marjanna Romers, Chiel F. Ebbelaar, Aia N. Najem, Donal P. Hayes, Antien L. Mooyaart, Sara Roshani, Liliane C. D. Wynaendts, Nikolas Stathonikos, Gerben E. Breimer, Anne M. L. Jansen, Mitko Veta, Willeke A. M. Blokx
https://arxiv.org/abs/2508.05391

Artificial Intelligence-Based Classification of Spitz Tumors
Spitz tumors are diagnostically challenging due to overlap in atypical histological features with conventional melanomas. We investigated to what extent AI models, using histological and/or clinical features, can: (1) distinguish Spitz tumors from conventional melanomas; (2) predict the underlying genetic aberration of Spitz tumors; and (3) predict the diagnostic category of Spitz tumors. The AI models were developed and validated using a dataset of 393 Spitz tumors and 379 conventional melanom…

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI
Freedmore Sidume, Oumayma Soula, Joseph Muthui Wacira, YunFei Zhu, Abbas Rabiu Muhammad, Abderrazek Zeraii, Oluwaseun Kalejaye, Hajer Ibrahim, Olfa Gaddour, Brain Halubanza, Dong Zhang, Udunna C Anazodo, Confidence Raymond
https://arxiv.org/abs/2509.09469

Resource-Efficient Glioma Segmentation on Sub-Saharan MRI
Gliomas are the most prevalent type of primary brain tumors, and their accurate segmentation from MRI is critical for diagnosis, treatment planning, and longitudinal monitoring. However, the scarcity of high-quality annotated imaging data in Sub-Saharan Africa (SSA) poses a significant challenge for deploying advanced segmentation models in clinical workflows. This study introduces a robust and computationally efficient deep learning framework tailored for resource-constrained settings. We leve…

Beyond Predictions: A Study of AI Strength and Weakness Transparency Communication on Human-AI Collaboration
Tina Behzad, Nikolos Gurney, Ning Wang, David V. Pynadath
https://arxiv.org/abs/2508.09033

Beyond Predictions: A Study of AI Strength and Weakness Transparency Communication on Human-AI Collaboration
The promise of human-AI teaming lies in humans and AI working together to achieve performance levels neither could accomplish alone. Effective communication between AI and humans is crucial for teamwork, enabling users to efficiently benefit from AI assistance. This paper investigates how AI communication impacts human-AI team performance. We examine AI explanations that convey an awareness of its strengths and limitations. To achieve this, we train a decision tree on the model's mistakes, allo…

🇺🇦 #NowPlaying on KEXP's #DriveTime
Tomorrow Comes The Harvest:
🎵 Rising Water
#TomorrowComesTheHarvest
https://tomorrowcomestheharvest.bandcamp.com/track/rising-water
https://open.spotify.com/track/3nFjhsF9DxGHDNKVkKuJ5B

Mechanistic Learning with Guided Diffusion Models to Predict Spatio-Temporal Brain Tumor Growth
Daria Laslo, Efthymios Georgiou, Marius George Linguraru, Andreas Rauschecker, Sabine Muller, Catherine R. Jutzeler, Sarah Bruningk
https://arxiv.org/abs/2509.09610

Mechanistic Learning with Guided Diffusion Models to Predict Spatio-Temporal Brain Tumor Growth
Predicting the spatio-temporal progression of brain tumors is essential for guiding clinical decisions in neuro-oncology. We propose a hybrid mechanistic learning framework that combines a mathematical tumor growth model with a guided denoising diffusion implicit model (DDIM) to synthesize anatomically feasible future MRIs from preceding scans. The mechanistic model, formulated as a system of ordinary differential equations, captures temporal tumor dynamics including radiotherapy effects and es…