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Assessing pedestrian responses to autonomous and personal mobility robots in crowded public spaces

2 weeks 1 day ago
Robots increasingly share spaces with people, supporting delivery services and mobility for the aging populations, yet their ability to share space comfortably lacks understanding and benchmarks for designers and policy-makers. We compared human-robot (HRI) and human-human (HHI) interactions across four real-world crowd datasets spanning Europe, North America, and Asia, using a unified pipeline to detect interactions, stratify by crowd density, and model pedestrian behavior. Local motion...
Dominik Wojcikiewicz

Biophysical reprogramming of immunosuppressive neutrophils by cold atmospheric plasma reinvigorates antitumor immunity

2 weeks 1 day ago
Neutrophils are increasingly recognized as key orchestrators of the immunosuppressive tumor microenvironment, yet their intrinsic plasticity, short lifespan and resistance to genetic manipulation have impeded therapeutic targeting. Here, we report a non-pharmacological, biophysical immunomodulatory strategy based on cold atmospheric plasma (CAP) to reprogram tumor-associated neutrophils and restore antitumor immunity. We show that CAP simultaneously delivers reactive oxygen species and redox...
Ganyu Wang

A reproducible three-dimensional model of human brain tissue to investigate physiological and disease-associated microglia phenotypes

2 weeks 1 day ago
Stem-cell-based in vitro models offer promising potential to elucidate human brain cell functions and interactions, but limitations in reproducibility, maturation and cell-type diversity persist. Especially, prolonged incorporation of mature microglia and studies of neuroinflammation have proven challenging. Here, we developed a human induced pluripotent stem cell-based three-dimensional cortical brain tissue model (3BTM) containing neurons, astrocytes and microglia with high reproducibility,...
Julien Klimmt

XunZi, an AI biologist, reveals disease-modifying targets

2 weeks 1 day ago
Hypothesis generation in biomedicine is constrained by human cognitive limitations in synthesizing insights from fragmented biomedical knowledge and multimodal data sources. Here we introduce XunZi, an AI biologist that integrates logical reasoning and multimodal data fusion to autonomously generate de novo therapeutic target hypotheses with testable mechanisms. XunZi has been trained on 24.4 million publications and 613.6 TB of multisource data spanning 21,008 human genes and 5,850 diseases,...
Xinhe Huang