Tootfinder

Saccades adapt to visual and auditory stepping targets and display an asymmetrical pattern of cross-modal transfer #crossmodal

Of the 202 Nobel laureates in physics, chemistry and physiology or medicine this century,
fewer than 70 percent hail from the country in which they were awarded their prize
https://www.nature.com/articles/d41586-025-03247-6

More than 30% of this century’s science Nobel prizewinners immigrated: see their journeys
The most common destination for eventual Nobel laureates in physics, chemistry and medicine since 2000 is the United States, Nature has found.

Visual context affects the perceived timing of tactile sensations elicited through intra-cortical microstimulation: a case study of two participants https://journals.physiology.org/doi/abs/10.1152/jn.00518.2024

🫀 Increased aerobic fitness in adolescent athletes is linked to poorly understood abnormal cardiovascular changes
https://medicalxpress.com/news/2025-10-aerobic-adolescent-athletes-linked-poorly.html

Increased aerobic fitness in adolescent athletes is linked to poorly understood abnormal cardiovascular changes
Adolescent athletes' cardiovascular system may adapt to increased cardiorespiratory fitness by increasing blood pressure, arterial stiffness and heart growth, a new study shows. The study was conducted in collaboration between the Technical University of Munich and the University of Eastern Finland, and the results were published in the American Journal of Physiology-Heart and Circulatory Physiology.

DeepEN: Personalized Enteral Nutrition for Critically Ill Patients using Deep Reinforcement Learning
Daniel Jason Tan, Jiayang Chen, Dilruk Perera, Kay Choong See, Mengling Feng
https://arxiv.org/abs/2510.08350

DeepEN: Personalized Enteral Nutrition for Critically Ill Patients using Deep Reinforcement Learning
We introduce DeepEN, a deep reinforcement learning (RL) framework for personalized enteral nutrition (EN) in critically ill patients. Trained offline on over 11,000 ICU patients from the MIMIC-IV database, DeepEN generates 4-hourly recommendations for caloric, protein, and fluid intake tailored to each patient's evolving physiology. The model integrates a curated, clinically informed state space with a custom reward function that balances short-term physiological and nutrition-related goals wit…

TimeGazer: Temporal Modeling of Predictive Gaze Stabilization for AR Interaction
Yaozheng Xia, Zaiping Zhu, Bo Pang, Shaorong Wang, Sheng Li
https://arxiv.org/abs/2510.01561 htt…

TimeGazer: Temporal Modeling of Predictive Gaze Stabilization for AR Interaction
Gaze stabilization is critical for enabling fluid, accurate, and efficient interaction in immersive augmented reality (AR) environments, particularly during task-oriented visual behaviors. However, fixation sequences captured in active gaze tasks often exhibit irregular dispersion and systematic deviations from target locations, a variability primarily caused by the combined effects of human oculomotor physiology, insufficient AR headset tracking and calibration accuracy, and environmental dist…

Verification, Validation, and Uncertainty Quantification (VVUQ) of PBPK Models for Theranostic Digital Twins: Towards Reliable Model-Informed Treatment Planning for Radiopharmaceutical Therapies
Nouran R. R. Zaid (Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA), Deni Hardiansyah (Medical Physics and Biophysics, Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia), Tah…

Verification, Validation, and Uncertainty Quantification (VVUQ) of PBPK Models for Theranostic Digital Twins: Towards Reliable Model-Informed Treatment Planning for Radiopharmaceutical Therapies
Physiologically based pharmacokinetic (PBPK) models provide a mechanistic framework for simulating radiopharmaceutical kinetics and estimating patient-specific absorbed doses (ADs). PBPK models incorporate prior knowledge of patient physiology and drug-specific properties, which can enhance the models predictive performance. PBPK models can ultimately be used to predict treatment response and thereby enable theranostic digital twins (TDTs) for personalized treatment planning in radiopharmaceuti…