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108 results for “disease mechanism”
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Research ArticleOpen accessIn the keywordsCrop Disease Detection via an Improved Residual NetworkGuolin Chen, Weifeng Liu, Xinyu Zou, Xiaoxia LiDeep learning has shown substantial potential across many domains, and crop disease detection is no exception. This study investigates the application of deep learning to crop disease detection, systematically evaluating the performance of convolutional neural networks of different depths. Building on the classical ResNet-50 as the base model, we introduce a Squeeze-and-Excitation (SE) attention mechanism to enhance feature extraction. The … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 31 Jul 2026 · 898 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMolecular Medicine-Prospects and ChallengesC. N. Ramchand, R. Sripathy, N. Somashekara et al.Drug discovery and development is a process that rationally leads to instigation of compound or formulation for the treatment of particular disease/diseased condition by acting on its specific target (s). Most of the drugs identified by conventional drug discovery process were as a result of unsystematic, random and serendipitous approach. Enhancement of knowledge in the field of biotechnology, molecular biology … …American Journal of Infectious Diseases, Vol. 8, Issue 1 · 23 Feb 2012 · 7,473 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 733 accessesView PDFCite
Review ArticleOpen accessIn the keywordsBio-Exploration of Plant Growth-Promoting Fungus Trichoderma as a Potent Candidate for Plant Disease Management: An OverviewMd. Tanbir Rubayet, Md. Motaher HossainChemical pesticides are widely used to control plant diseases, but their widespread use can have a detrimental impact on the environment and human health. This has led researchers and growers to seek out alternative solutions. One promising approach is the use of the Plant Growth-Promoting Fungus (PGPF) Trichoderma spp. as a biological control agent. This method is effective, cost-efficient, and … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 21 Sep 2024 · 5,107 accessesView PDFCite
Research ArticleOpen accessIn the abstractEW-GAT: Edge-Weighted Graph Attention Framework for Patient-Aware Heart Disease Classification Using Feature-to-Feature Similarity GraphsRamakrishna Reddy Badveli, Nijaguna Gollara Siddappa, Sundeep Kumar KanipakapatnamHeart disease remains an important cause of global death, requiring accurate and clinically interpretable prediction models. However, traditional Machine Learning (ML) methods often fail to capture meaningful dependencies among clinical features and lack robustness across diverse patient populations. To overcome these issues, this research introduces an Edge-Weighted Graph Attention Network (EW-GAT) for patient-aware heart disease classification. The approach first models … …Journal of Computer Science, Vol. 22, Issue 7 · 25 Jul 2026 · 912 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Integrated Nursing and Digital Droplet PCR on Bullous Dermatoid Conditions: A Randomized Controlled TrialConghui ChenBullous skin disease is an autoimmune disease characterized by the formation of blisters on the skin or mucous membrane, which seriously impairs the quality of life and overall health. Similar to the research on biomolecules (mechanics of protein interaction), cells (including cell membrane elasticity, cell adhesion, cytoskeletal dynamics, response to mechanical stimulation, cell deformation and cell endoforce transfer) and tissue … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 2 Jul 2026 · 985 accessesView PDFCite
Research ArticleOpen accessIn the abstractSeed Treatment-Based Biocontrol of Tomato Damping off Using Plant Essential Oil and Green Silver NanoparticlesLaila Reklaoui, Zine El Abidine Bzazou Elouazzani, El Touhami Tayebi Ouazzani et al.The fungal pathogen Rhizoctonia solani is a major causal agent of damping-off in tomato plants, leading to severe yield losses worldwide. Conventional fungicides, while effective, raise concerns regarding environmental safety and human health, highlighting the urgent need for sustainable alternatives. In this study, we report for the first time the use of Origanum compactum essential oil to biosynthesize silver nanoparticles … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 2 Jun 2026 · 1,298 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite