Tootfinder

Uniqueness of Complementary Recovery in Holographic Error-Correcting Codes
Julia Jones, Jason Pollack
https://arxiv.org/abs/2509.19299 https://arxiv.org/pd…

Russian glide bomb hits medical facility in Kharkiv, killing at least 1, injuring at least 12, including child: https://benborges.xyz/2025/07/25/russian-glide-bomb-hits-medical.html

Mind the Gap: Evaluating the Representativeness of Quantitative Medical Language Reasoning LLM Benchmarks for African Disease Burdens
Fred Mutisya (Qhala, Kenya Medical Association), Shikoh Gitau (Qhala), Christine Syovata (Kenya Medical Association), Diana Oigara (Kenya Medical Association), Ibrahim Matende (Kenya Medical Association), Muna Aden (Kenya Medical Association), Munira Ali (Kenya Medical Association), Ryan Nyotu (Kenya Medical Association), Diana Marion (Kenya Medical Asso…

Mind the Gap: Evaluating the Representativeness of Quantitative Medical Language Reasoning LLM Benchmarks for African Disease Burdens
Introduction: Existing medical LLM benchmarks largely reflect examination syllabi and disease profiles from high income settings, raising questions about their validity for African deployment where malaria, HIV, TB, sickle cell disease and other neglected tropical diseases (NTDs) dominate burden and national guidelines drive care. Methodology: We systematically reviewed 31 quantitative LLM evaluation papers (Jan 2019 May 2025) identifying 19 English medical QA benchmarks. Alama Health QA was de…

🥼 Student loan caps might worsen the national doctor shortage, critics say
#politics

Student loan caps might worsen the national doctor shortage, critics say
Twenty-eight-year-old Michaela Bonner has been working 12-hour shifts as an emergency medical technician in Norfolk, Virginia, for the past four years, while attending and paying for college to finish her prerequisites for medical school.

Citrus-V: Advancing Medical Foundation Models with Unified Medical Image Grounding for Clinical Reasoning
Guoxin Wang, Jun Zhao, Xinyi Liu, Yanbo Liu, Xuyang Cao, Chao Li, Zhuoyun Liu, Qintian Sun, Fangru Zhou, Haoqiang Xing, Zhenhong Yang
https://arxiv.org/abs/2509.19090

Dr. Kamila Naxerova is trying to understand how cancer spreads in the body.
Dr. Rachael Sirianni is trying to find new ways to deliver drugs for childhood brain cancer.
Dr. David Ho is trying to make breakthroughs in H.I.V. research.
These researchers and so many others worked to ensure that Americans had access to the best medical treatments available
and that they had first access to those treatments.
That is, they worked until Trump administration gutted fun…

Opinion | Trump Is Defunding Medical Research. It Could Cost You Your Life.
They hoped to make tomorrow’s medicines. Then came Trump.

EU-Staaten: Dokumentationen und Gebrauchsanleitungen sollen digital werden
Die Vertreter der Mitgliedstaaten haben ihre Position zum Entwurf der Kommission für ein Entbürokratisierungspaket gebilligt. "Digital by Default" soll kommen.

Trump tariff threat looms over robotics and medical devices
https://www.cnbc.com/2025/09/25/trump-tariff-threat-looms-over-robotics-and-medical-devices-section232-import-investigation.html

from my link log —
Minimal version selection revisited.
https://matklad.github.io/2024/12/24/minimal-version-selection-revisited.html
saved 2025-08-06

EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models
Botai Yuan, Yutian Zhou, Yingjie Wang, Fushuo Huo, Yongcheng Jing, Li Shen, Ying Wei, Zhiqi Shen, Ziwei Liu, Tianwei Zhang, Jie Yang, Dacheng Tao
https://arxiv.org/abs/2509.20146

EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models
Recent benchmarks for medical Large Vision-Language Models (LVLMs) emphasize leaderboard accuracy, overlooking reliability and safety. We study sycophancy -- models' tendency to uncritically echo user-provided information -- in high-stakes clinical settings. We introduce EchoBench, a benchmark to systematically evaluate sycophancy in medical LVLMs. It contains 2,122 images across 18 departments and 20 modalities with 90 prompts that simulate biased inputs from patients, medical students, and ph…