AIMC Topic: Humans

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Exploring the potential of lightweight large language models for AI-based mental health counselling task: a novel comparative study.

Scientific reports Jul 2, 2025
In recent years, Transformer-based large language models (LLMs) have significantly improved upon their text generation capability. Mental health is a serious concern that can be addressed using LLM-based automated mental health counselors. These syst...
Large Language Models Language Mental Health Counseling Humans Artificial Intelligence
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A deep learning model for diagnosis of inherited retinal diseases.

Scientific reports Jul 2, 2025
To evaluate the performance of a multi-input deep learning (DL) model in detecting two common inherited retinal diseases (IRDs), i.e. retinitis pigmentosa (RP) and Stargardt disease (STGD), and differentiating them from healthy eyes. This cross-secti...
Deep Learning Retinal Diseases Stargardt Disease Male Middle Aged Humans Retinitis Pigmentosa Female Neural Networks, Computer Adult Cross-Sectional Studies
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LncRNAs regulates cell death in osteosarcoma.

Scientific reports Jul 2, 2025
Despite improvements, prognosis in osteosarcoma patients remains poor, making it essential to identify additional and more robust therapeutic targets. Non-apoptotic receptor-mediated cell death (RCD), which plays a crucial role in the pathogenesis of...
Necroptosis Pyroptosis Cell Death Bone Neoplasms Ferroptosis RNA, Long Noncoding Female Gene Expression Regulation, Neoplastic Male Osteosarcoma Humans Gene Expression Profiling Prognosis
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Unveiling diagnostic biomarkers and therapeutic targets in lung adenocarcinoma using bioinformatics and experimental validation.

Scientific reports Jul 2, 2025
Lung adenocarcinoma (LUAD) is a major challenge in oncology due to its complex molecular structure and generally poor prognosis. The aim of this study was to find diagnostic markers and therapeutic targets for LUAD by integrating differential gene ex...
Humans Machine Learning Prognosis Gene Expression Regulation, Neoplastic Databases, Genetic Adenocarcinoma of Lung Gene Regulatory Networks Biomarkers, Tumor Lung Neoplasms Gene Expression Profiling Computational Biology Transcriptome
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Identification of exosome-related genes in NSCLC via integrated bioinformatics and machine learning analysis.

Scientific reports Jul 2, 2025
Exosomes are crucial in the development of non-small cell lung cancer (NSCLC), yet exosome-associated genes in NSCLC remain insufficiently explored. The present study identified 59 exosome-associated differentially expressed genes (EA-DEGs) from the ...
Gene Expression Regulation, Neoplastic Carcinoma, Non-Small-Cell Lung Databases, Genetic Exosomes Gene Regulatory Networks Humans Lung Neoplasms Machine Learning Computational Biology Biomarkers, Tumor Prognosis Gene Expression Profiling
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Improved bio-inspired with machine learning computing approach for thyroid prediction.

Scientific reports Jul 2, 2025
Thyroid illness is widely recognised as a prevalent health condition that can result in a range of health disorders. Thyroid illnesses, namely hypothyroidism and hyperthyroidism, are widespread worldwide and present considerable health consequences. ...
Deep Learning Thyroid Diseases Thyroid Gland Machine Learning Female Support Vector Machine Decision Trees Humans Neural Networks, Computer
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A novel mobiles android application for facilitating wheelchair users access to public buildings in urban environments.

Scientific reports Jul 2, 2025
In recent years, societies and governments worldwide have increasingly focused on addressing the rights and needs of individuals with various disabilities. Concurrently, smartphone applications (apps) have gained widespread popularity across diverse ...
Architectural Accessibility Persons with Disabilities Cities Humans Wheelchairs Smartphone Mobile Applications
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A comparative analysis of DeepSeek R1, DeepSeek-R1-Lite, OpenAi o1 Pro, and Grok 3 performance on ophthalmology board-style questions.

Scientific reports Jul 2, 2025
The ability of large language models (LLMs) to accurately answer medical board-style questions reflects their potential to benefit medical education and real-time clinical decision-making. With the recent advance to reasoning models, the latest LLMs ...
Ophthalmology Education, Medical Humans Educational Measurement
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Hierarchical in-out fusion for incomplete multimodal brain tumor segmentation.

Scientific reports Jul 2, 2025
Fusing multimodal data play a crucial role in accurate brain tumor segmentation network and clinical diagnosis, especially in scenarios with incomplete multimodal data. Existing multimodal fusion models usually perform intra-modal fusion at both shal...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging Humans Neural Networks, Computer Algorithms Brain Neoplasms
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AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis.

Scientific reports Jul 2, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate and efficient diagnostic tools to improve patient outcomes. Lung segmentation plays a pivotal role in the diagnostic pipeline, directly impacting the ...
Humans Neural Networks, Computer Artificial Intelligence Algorithms Lung Neoplasms Tomography, X-Ray Computed Early Detection of Cancer Lung Genetic Algorithms
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