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Standardized pre-consultation by a large language model agent vs ophthalmology residents: a randomized clinical trial

npj Digital Medicine, Published online: 05 October 2026; doi:10.1038/s41746-026-03232-x

Standardized pre-consultation by a large language model agent vs ophthalmology residents: a randomized clinical trial

Research Status and Prospects of <em>Helicobacter pylori</em>-associated gastritis: From Mechanisms to Traditional Chinese Medicine Treatment

8 September 2026 at 18:00

Gastroenterol Res Pract. 2026 Sep 7;2026:3413458. doi: 10.1155/grp/3413458. eCollection 2026.

ABSTRACT

Helicobacter pylori-associated gastritis (HPAG) is a chronic inflammatory condition of the gastric mucosa caused by Helicobacter pylori infection, serving as the core etiological factor for peptic ulcers and gastric precancerous lesions. Given the persistently high global infection rates and the escalating burden of antibiotic resistance, conventional eradication therapies are encountering significant challenges. This article systematically delineates the molecular pathogenic mechanisms underlying HPAG, encompassing bacterial virulence factors, host immune responses, aberrant signaling pathways, oxidative stress, epigenetic regulation, and mucosal barrier damage. Building upon this foundation and in alignment with international mainstream diagnostic and therapeutic guidelines, we summarize the research progress of traditional Chinese medicine (TCM) interventions from a novel perspective of microecological homeostasis regulation. Specifically, we clarify the multifaceted roles of TCM monomers and formulas in immunomodulation, mucosal repair, and antibacterial synergism. By systematically synthesizing existing evidence from TCM studies, we construct a whole-course TCM intervention framework for HPAG that integrates "susceptibility prevention, active treatment, and posteradication repair." Furthermore, we critically analyze the current clinical translation bottlenecks and the limitations inherent in the "black-box" research paradigm of TCM monomers and formulas, and propose future research directions driven by multiomics technologies. This work provides both theoretical support and practical references for precise integrated Chinese and Western medicine diagnosis and treatment of HPAG.

PMID:42707495 | PMC:PMC13548316 | DOI:10.1155/grp/3413458

Research Status and Prospects of <em>Helicobacter pylori</em>-associated gastritis: From Mechanisms to Traditional Chinese Medicine Treatment

Gastroenterol Res Pract. 2026 Sep 7;2026:3413458. doi: 10.1155/grp/3413458. eCollection 2026.

ABSTRACT

Helicobacter pylori-associated gastritis (HPAG) is a chronic inflammatory condition of the gastric mucosa caused by Helicobacter pylori infection, serving as the core etiological factor for peptic ulcers and gastric precancerous lesions. Given the persistently high global infection rates and the escalating burden of antibiotic resistance, conventional eradication therapies are encountering significant challenges. This article systematically delineates the molecular pathogenic mechanisms underlying HPAG, encompassing bacterial virulence factors, host immune responses, aberrant signaling pathways, oxidative stress, epigenetic regulation, and mucosal barrier damage. Building upon this foundation and in alignment with international mainstream diagnostic and therapeutic guidelines, we summarize the research progress of traditional Chinese medicine (TCM) interventions from a novel perspective of microecological homeostasis regulation. Specifically, we clarify the multifaceted roles of TCM monomers and formulas in immunomodulation, mucosal repair, and antibacterial synergism. By systematically synthesizing existing evidence from TCM studies, we construct a whole-course TCM intervention framework for HPAG that integrates "susceptibility prevention, active treatment, and posteradication repair." Furthermore, we critically analyze the current clinical translation bottlenecks and the limitations inherent in the "black-box" research paradigm of TCM monomers and formulas, and propose future research directions driven by multiomics technologies. This work provides both theoretical support and practical references for precise integrated Chinese and Western medicine diagnosis and treatment of HPAG.

PMID:42707495 | PMC:PMC13548316 | DOI:10.1155/grp/3413458

Towards generalizable seizure monitoring: EpiVLM for cross-environment detection and classification

npj Digital Medicine, Published online: 26 May 2026; doi:10.1038/s41746-026-02810-3

Towards generalizable seizure monitoring: EpiVLM for cross-environment detection and classification

From Semantic To Instance: A Semi-Self-Supervised Learning Approach

arXiv:2506.16563v2 Announce Type: replace-cross Abstract: Instance segmentation is essential for applications such as automated monitoring of plant health, growth, and yield. However, extensive effort is required to create large-scale datasets with pixel-level annotations of each object instance for developing instance segmentation models that restrict the use of deep learning in these areas. This challenge is more significant in images with densely packed, self-occluded objects, which are common in agriculture. To address this challenge, we propose a semi-self-supervised learning approach that requires minimal manual annotation to develop a high-performing instance segmentation model. We design GLMask, an image-mask representation for the model to focus on shape, texture, and pattern while minimizing its dependence on color features. We develop a pipeline to generate semantic segmentation and then transform it into instance-level segmentation. The proposed approach substantially outperforms the conventional instance segmentation models, establishing a state-of-the-art wheat head instance segmentation model with mAP@50 of 98.5%. Additionally, we assessed the proposed methodology on the general-purpose Microsoft COCO dataset, achieving a significant performance improvement of over 12.6% mAP@50. This highlights that the utility of our proposed approach extends beyond precision agriculture and applies to other domains, specifically those with similar data characteristics.
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