Kai Jin
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Articles by Kai Jin
Development and validation of machine learning models for preoperative prediction of perioperative outcomes in patients with thymic epithelial tumors
Abstract Thymic epithelial tumors (TETs) are rare anterior mediastinal tumors with heterogeneous perioperative recovery. We developed and externally validated machine-learning models using preoperative and preoperatively available variables to predict postoperative complications, prolonged postoperative length of stay (LOS), and moderate-to-severe postoperative pain.
Chamfer-Induced Flow Modulation at the Spindle Inlet for Fiber Waste Reduction in Vortex Spinning
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data is available upon reasonable request. Supporting Information Filename Description pen70886-sup-0001-Supinfo.docxWord 2007 document , 8.8 MB Figure S1: Flowchart of the parametric modeling process. Figure S2: (a) The axial and (b) radial velocity profiles of airflow along the diametric direction simulated with different mesh element numbers.
Video-to-report generation for cataract surgery using procedurally grounded vision–language models
Abstract Cataract surgery is widely performed, but operative reports are usually written retrospectively and may omit short events or use inconsistent descriptions. We aimed to develop a system that converts unedited cataract surgery videos into temporally structured operative reports with inspectable visual evidence. We developed LensNarrate, which combines fixed-rate video sampling, vision-language captioning, temporal assembly of frame-level predictions, and separate visual grounding.
Performance of clay pigeon shooters in multiple object tracking under different target loads: skill level and gender differences
Abstract Objective: To examine the effect of target load on the multiple object tracking performance of clay pigeon shooters, and to investigate differences in skill level (professional vs. amateur) and gender in this context. The attentional patterns in clay pigeon shooting differ fundamentally from those in ball sports.
An autonomous multimodal AI agent for evidence-grounded ophthalmic diagnosis
ArticleOnline now102969Open access Affiliations & Notes 1Eye Center of Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China 2Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye Diseases, Zhejiang Provincial Engineering Institute on Eye Diseases, Hangzhou, China 3School of Computer Science and Technology / School of Artificial Intelligence, China University of Mining and Technology, Xuzhou, China 4Department...
Evaluating multimodal large language models for differential diagnosis of high myopia versus high myopia with Glaucoma
Abstract Background: Distinguishing glaucomatous damage from structural and functional changes related to high myopia remains a persistent clinical challenge. Objective: To evaluate multimodal large language models (LLMs) for the differential diagnosis of high myopia alone versus high myopia with glaucoma under direct-answer and chain-of-thought (CoT) prompting, and to compare physician-rated response quality across models.
Experts outperform novices under high attentional load in soccer referees: a multiple object tracking study
Abstract This study investigates the differences in visual attention between expert and novice soccer referees using a multiple object tracking (MOT) task, with a specific focus on how tracking speed modulates these differences. Fifty-two male referees were divided into expert (currently holding international/national level, n = 26) and novice (currently holding level 1 or below, n = 26) groups.
Towards a unified foundation model for medical imaging
Artificial intelligence (AI) has rapidly transformed medical imaging, enabling automated detection, classification, and risk prediction across an increasing number of clinical applications. However, in clinical practice, physicians routinely integrate information across imaging modalities, specialties, and diagnostic contexts.
A large cohort analysis of metabolic signatures underlying the liver-eye axis
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Abstract The role of the liver, a vital metabolic organ, in ocular health and the corresponding mechanisms remains unclear. This study aimed to examine the association between liver function and retinal thickness, and whether metabolic signatures (MS) of liver function mediate these associations. We used data from 31019 participants in UK Biobank.
By mingxing Wu, Xueqin Li, Mingzhi Liu, Jun Zhang, Jingxin Zhou, Kai Jin, Zuyun Liu, Yumei Mao, Yuan Gao Verified, Li Zhang
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Nature
Verified
Histone Variant H2A.Z2 Hyper-Transcription Induced by E2F1 Accelerates Lung Adenocarcinoma Progression via the JAK–STAT Signaling Pathway
ANOVA a one-way analysis of variance CCK8 cell counting kit-8 CDK cyclin-dependent kinase ChIP chromatin immunoprecipitation DMEM Dulbecco's modified eagle medium E2F1 E2F transcription factor 1 ECL enhanced chemiluminescence EdU 5-ethynyl-2-deoxyuridine EMT epithelial-mesenchymal transition FBS fetal bovine serum FITC fluorescein isothiocyanate GEO Gene Expression Omnibus GTEx Genotype-Tissue Expression HE Hematoxylin and Eosin IHC immunohistochemistry JAK–STAT Janus Kinase–Signal Transducer...
Treatment effects prediction and clinical decision-making system for retinal vein occlusion by artificial intelligence
Abstract Retinal vein occlusion (RVO) is a chronic retinal vascular disease that often requires repeated anti-VEGF injections and long-term follow-up. However, predicting treatment responses across different follow-up timepoints remains clinically challenging. To address this issue, we developed an AI system integrating generative adversarial networks (GANs), UNet + +, and ResNet-101 to generate post-treatment OCT and fundus images and support clinical decision-making.
A systematic review of navigating the digital frontier: attitudes, barriers, and facilitators of technology adoption among older adults
Abstract Older adults’ intention to adopt digital technologies including communication, information, entertainment, and health-related tools such as mobile health and smart home systems has been widely studied. However, the lack of an integrated framework that explains how multiple factors interact to shape adoption. This study addresses this gap through a systematic review of 59 articles, synthesizing evidence across diverse theoretical perspectives.
A customized AI-based machine learning model for evaluating participants’ activities under a workshop setting
Abstract Human action recognition (HAR) in the workshop-style environment poses unique challenges due to class imbalance, fused action boundaries, and context dependence. This study proposes a multi-stage fine-tuning supervised framework for workshop-style HAR based on a 3D CNN, supplemented by an unsupervised post-assessment.
Enhancement of biological activity and volatile organic compounds of sunflower bee pollen via mixed Lactobacillus fermentation
CONFLICT OF INTEREST The authors confirm that they have no conflicts of interest with respect to the work described in this manuscript. DATA AVAILABILITY STATEMENT The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description jsfa70808-sup-0001-supinfo.docxWord 2007 document , 21 KB Table S1. Orthogonal test levels of fermentation process. Table S2. Sensory evaluation criteria for fermented bee pollen.
Investigation of the Flatwise Compressive Behavior of Hollow Glass Microsphere-Filled Nomex Honeycomb CFRP Sandwich Structures
, , , and , “Investigation of the Flatwise Compressive Behavior of Hollow Glass Microsphere-Filled Nomex Honeycomb CFRP Sandwich Structures,” Polymer Composites (2026): 1–16, https://doi.org/10.1002/pc.71303. Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request.
EyeRAG: graph retrieval-augmented generation for safe and accurate clinical dialogue in ophthalmology
Abstract Large language models promise to transform ophthalmic clinical communication but face challenges from factual inaccuracies (hallucinations) and limited domain knowledge. This study introduces EyeRAG, a guideline-grounded GraphRAG system for ophthalmic dialogue that integrates OphthaKG, a domain-specific knowledge graph, constructed exclusively from clinical guidelines.
Intratumoral bicarbonate functions as an adjuvant to potentiate PD-1 blockade in hepatocellular carcinoma
Abstract AntiPD-1 immunotherapy improves survival in advanced hepatocellular carcinoma (HCC), but responses remain limited by the immunosuppressive, acidic tumor microenvironment (TME). We investigated whether intratumoral alkalization with sodium bicarbonate could enhance PD-1 blockade.
Transplanting light-dependent reactions for mammalian eye photosynthesis
Affiliations & Notes 1Department of Chemical and Biomolecular Engineering, College of Design and Engineering, National University of Singapore, Singapore 117585, Singapore 2NUS Graduate School of Integrative Science & Engineering Programme, National University of Singapore, Singapore 119077, Singapore 3Zhejiang University, Eye Center of Second Affiliated Hospital, School of Medicine, Zhejiang Provincial Key Laboratory of Ophthalmology, Zhejiang Provincial Clinical Research Center for Eye...
Rethinking scale in ophthalmic artificial intelligence: from bigger models to smarter clinical reasoning
Abstract Recent advances in ophthalmic AI have improved benchmark performance, yet clinical trust remains limited. We argue that progress should move beyond data and model scaling toward trustworthy, skill-efficient systems that integrate multimodal evidence, external knowledge, and uncertainty-aware reasoning.
Activity characterization analysis of debris flow hazard: a case study of Dazhai Gully on Jinsha River in China
Abstract Rainfall-triggered debris flows pose severe risks to lives and critical infrastructure, making rigorous characterization and evaluation essential. This study advances their characterization through an integrated qualitative–quantitative assessment of Dazhai Gully, a right-bank tributary of the Jinsha River adjacent to the Baihetan project.
Ready for emergencies: enhancing aero-medical aspects and first aid education for future flight attendants in China
Abstract With the rapid growth of the passenger population as well as the complex situation caused by the past pandemic, airlines need to recruit flight attendants with strong medical emergency response capabilities. In China, the cultivation of flight attendant students is mainly done by vocational colleges or universities. Aero-medical aspects and first aid (AMAFA) course is considered crucial and mandatory for preparing qualified flight attendants.
Evaluation of large language models and retrieval-augmented generation for clinical reasoning in pediatric myopia: a 50-case real-world study
Abstract To evaluate the clinical reasoning ability of large language models (LLMs) and retrieval-augmented generation (RAG) systems in pediatric myopia management using a real-world, expert-annotated case set covering diverse refractive, pathological, and high-risk scenarios. Six models were tested: baseline LLMs (GPT Base, Gemini Base, Grok Base) and their RAG variants (GPT-RAG, Gemini-RAG, Grok-RAG).
Functional drug screening of tumor organoids on an active-matrix digital microfluidic chip for cancer precision medicine
Abstract Cancer is a leading global cause of morbidity and mortality, with inter- and intra-tumor heterogeneity contributing to suboptimal therapeutic outcomes. While genomic profiling has advanced precision oncology, many tumors lack targetable mutations, underscoring the need for functional assays. Here, we present a drug sensitivity testing platform for patient-derived organoids (PDOs) based on active-matrix digital microfluidics (AM-DMF).
Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface
7 hours ago Google caused controversy among some developers this weekend and today, Monday, February 23rd, after restricting their usage of its new Antigravity "vibe coding" platform, alleging "maliciously usage." Some users who had been using the open source autonomous AI agent OpenClaw in conjunction with …
Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface - Nature Communications
Abstract Developing polymer composites that simultaneously achieve high strength, toughness, and impact resistance remains a fundamental challenge due to inherent trade-offs and brittle interfacial failure. Here, we propose a universal toughening strategy that integrates a bone-inspired trabecular interlock architecture with a thermodynamically driven, stress-adaptive interface to enable efficient energy dissipation under mechanical loading.
Clinical efficacy and cost-effectiveness of four myopia control interventions in children: a single-center retrospective study - Scientific Reports
Abstract To compare the one-year clinical efficacy and cost-effectiveness of single vision lenses (SVL), Myopia-control spectacle lenses (MCSL), Orthokeratology (Ortho-K), and Repeated Low-Level Red-Light (RLRL) therapy in children within a real-world setting. This retrospective observational cohort study analyzed data from 206 myopic children aged 8–14 years, who had already received one of four myopia control interventions: SVL (n = 50), MCSL (n = 60), Ortho-K (n = 44), or RLRL (n = 52).
Adoption intentions and barriers to emerging technologies among people with disabilities: a systematic review of attitudes, accessibility, and inclusion
Abstract Purpose Emerging technologies, ranging from robotics and artificial intelligence to assistive innovations, hold transformative potential for improving the quality of life among people with disabilities. Yet, despite decades of research, systematic evidence on their adoption intentions, attitudes, and accessibility barriers remains fragmented.
RNA‐Micelles as Self‐Assembling Structures for Efficient Co‐Delivery of Synergistic siRNA and Nucleoside Analogues to Treat CRC Lung Metastasis
3WJ Three Way Junction AS Anti-Sense CH cholesterol EpC EpCAM Gem Gemcitabine MC Micelle S Sense SS Single Strand Sur Survivin siRNA 1 Introduction Colorectal cancer (CRC) ranks as the third most common cause of cancer death [3-5]. CRC metastasizes to distant organs, predominantly the lung and liver, and leads to only a 5 year survival rate of 16% [6-11]. CRC rapidly develops resistance to chemotherapeutics.
Pioneering Interface Configuration with Fermi‐Level Tailoring for Tin Perovskite Photovoltaics
Conflict of Interests The authors declare no conflict of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description anie70606-sup-0001-SuppMat.docx25.9 MB Supporting Information References 1National Renewable Energy Lab (NREL), Best Research-Cell Efffciency Chart, https://www.nrel.gov/pv/interactive-cell-efficiency.html (accessed April 2025∖).
Pioneering Interface Configuration with Fermi‐Level Tailoring for Tin Perovskite Photovoltaics
Conflict of Interests The authors declare no conflict of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. Supporting Information Filename Description anie70606-sup-0001-SuppMat.docx25.9 MB Supporting Information References 1National Renewable Energy Lab (NREL), Best Research-Cell Efffciency Chart, https://www.nrel.gov/pv/interactive-cell-efficiency.html (accessed April 2025∖).
High-throughput Single-cell Proteomics Enabled by an Integrated Hyperplexing and Automatic Labelling Approach without Fractionation
Abstract Single-cell proteomics (scProteomics) enables comprehensive analysis of protein composition, expression and functions at the single-cell level. While label-free techniques have generated promising results, achieving high-throughput scProteomics remains a substantial challenge.
Interpretable longitudinal glaucoma visual field estimation deep learning system from fundus images and clinical narratives - npj Digital Medicine
Abstract Glaucoma is a globally prevalent disease that leads irreversible blindness. The visual field (VF) examination is important but time-consuming for visual function evaluation with high requirement of cooperation and reliability of patients. While color fundus photographs (CFPs) are easy to access. Here, we proposed a multi-modal longitudinal estimation deep learning (MLEDL) system, capable of predicting present and future VFs from CFPs and clinical text.
DRAMA: Diabetic Retinopathy Assessment through Multi-task Learning Approach on Heterogeneous Fundus Image Datasets
Keywords Diabetic retinopathy Artificial intelligence Deep learning Multi-task learning Multi-source heterogeneous dataset Abbreviation AI (artificial intelligence) AUC (area under the curve) CFP (color fundus photography) CNN (convolutional neural network) DME (diabetic macular edema) DR (diabetic retinopathy) EX (hard exudate) HE (hemorrhage) MA (microaneurysms) NPDR (non-proliferative diabetic retinopathy) NV (neovascularization) PC (portable fundus camera) PDR (proliferative diabetic...
Application of Carbon Dots in the Petroleum Industry: A Review
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Fabrication of a Robust Zinc Powder Anode via Facile Integration of Copper Nanopowder as a Functional Conductive Medium
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description adfm202418503-sup-0001-SuppMat.docx18.3 MB Supporting Information References 1, , , , , , , , Energy Environ. Sci. 2019, 12, 1938. 2, , , , , , , , , , , Adv. Funct. Mater. 2023, 33, 2208206. 3, , , , , , Energy Environ. Sci. 2019, 12, 2741. 4, , , , , , , , Energy Environ. Sci. 2023, 16, 5096. 5, , , , , , , Nat. Energy. 2020, 5, 743. 6, , , , , , , , , , , Electrochem. Energy Rev. 2021, 4, 1.
Eficacia de la técnica de agujería contraria en el tratamiento de la osteoartritis de rodilla en atletas: Un metanálisis
Ayuda Buscar en la ayuda Buscar en la ayuda Eficacia de la técnica de agujería contraria en el tratamiento de la osteoartritis de rodilla en atletas: Un metanálisis JIN, kai [1] ; ZHENG, Ai-jun [1] ; ZHENG, Fang-fang [1] ; MU, Jia-jia [1] ; CHI, Ming [1] [1] Peking University Localización: Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte, ISSN-e 1577-0354, Vol. 24, Nº. 97, 2024, págs.
MaNrtB, a Putative Nitrate Transporter, Contributes to Stress Tolerance and Virulence in the Entomopathogenic Fungus Metarhizium acridum
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
MaPac2, a Transcriptional Regulator, Is Involved in Conidiation, Stress Tolerances and Pathogenicity in Metarhizium acridum
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens
3 hours ago Syncytin is a captive retroviral envelope protein involved in human placental morphogenesis nature.com - Sha Mi, Xinhua Lee, Xiang-ping Li, Geertruida M. Veldman, Heather Finnerty, Lisa Racie, Edward LaVallie, Xiang-Yang Tang, Philippe Edouard, Steve Howes, James C. Keith Jr, John M. McCoy • 3h Many mammalian viruses have acquired genes from their hosts during their evolution.
Engineered Bacteria for Disease Diagnosis and Treatment Using Synthetic Biology
1 Introduction William Coley's earliest attempts to use inactivated bacteria (Coley's toxin) to prime the immune system to fight tumours became an early cornerstone of cancer immunotherapy (Chakrabarty 2003; Karbach et al. 2012).
Boosting neuronal activity-driven mitochondrial DNA transcription improves cognition in aged mice
Enhancement Effect of Phragmites australis Roots on Soil Shear Strength in the Yellow River Delta
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
A Microrobotic System Based on Engineered Bacteria for Targeted Self‐Driven Photodynamic Therapy
Conflict of Interests The authors declare no conflict of interest. Supporting Information As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors.
Research on Steering-by-Wire System Motor Control Based on an Improved Sparrow Search Proportional-Integral-Derivative Algorithm
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Identification of novel gene signature predicting lymph node metastasi
Back to Journals » International Journal of General Medicine » Volume 18 Original Research Oncology Authors Li H, Sun D, Jin K, Wang X Received 18 November 2024 Accepted for publication 21 February 2025 Published 15 March 2025 Volume 2025:18 Pages 1463—1479 DOI https://doi.org/10.2147/IJGM.S502480 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication: Professor Kenneth Adler Hai Li,1,2 Dongnan Sun,3 Kai Jin,4 Xudong Wang1...
Unveiling the functions of the Lim‐domain binding protein MaPtaB in Metarhizium acridum
CONFLICT OF INTEREST The authors declare that they have no competing interests. Supporting Information Filename Description ps8488-sup-0001-FigureS1.tifTIFF image, 3 MB Figure S1. Analyze of the conserved domain of MaPtaB. (a) The prediction of conserved Lim-domain and nuclear localization sequences (NLS) in MaPtaB. (b) Subcellular localization of MaPtaB in conidia of M. acridium. (c) Sequence alignment of the Lim-domain between MaPtaB and other homologo proteins.
RNA Nanotechnology for Codelivering High-Payload Nucleoside Analogs to Cancer with a Synergetic Effect
Abstract Click to copy section linkSection link copied! Nucleoside analogs are potent inhibitors for cancer treatment, but the main obstacles to their application in humans are their toxicity, nonspecificity, and lack of targeted delivery tools. Here, we report the use of RNA four-way junctions (4WJs) to deliver two nucleoside analogs, floxuridine (FUDR) and gemcitabine (GEM), with high payloads through routine and simple solid-state RNA synthesis and nanoparticle assembly.
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