Machine learning based characterization of high risk carriers of HTLV-1-associated myelopathy (HAM).
Machine learning identifies high-risk HTLV-1 carriers for HAM, predicting 76.47% as likely to develop symptoms. ๐๐
July 17, 2025
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Discover the newest research about AI innovations in ๐ฆ Microbiology.
The gut virome and human health: From diversity to personalized medicine.
Exploring the gut virome’s role in health: diversity, phage therapies, and precision medicine advancements. ๐ฆ ๐
June 23, 2025
Predicting adenine base editing efficiencies in different cellular contexts by deep learning.
Adenine base editing efficiency prediction using deep learning shows R values up to 0.94! ๐งฌ๐ Key insights from PubMed article.
May 10, 2025
Functions and Mechanisms of Secreted Proteinaceous Effectors of Broad-Host-Range Necrotrophic Fungal Pathogens.
Exploring necrotrophic fungal pathogens: effectors, host interactions, and AI’s role in disease management. ๐ฑ๐ฆ
May 7, 2025
Modeling microbiome-trait associations with taxonomy-adaptive neural networks.
Exploring microbiome impacts on health ๐ฆ ๐งฌ: MIOSTONE model enhances understanding of microbial associations with host traits.
April 1, 2025
A Machine Learning Model for Diagnosing Opportunistic Infections in HIV Patients: Broad Applicability Across Infection Types.
A recent PubMed article explores a machine learning model for diagnosing opportunistic infections in HIV patients. ๐ค๐
March 24, 2025
Portable solutions for plant pathogen diagnostics: development, usage, and future potential.
Portable diagnostics revolutionize plant pathogen detection ๐ฑ๐ฌ, enhancing food security and agricultural sustainability. Review highlights future potential and challenges.
February 17, 2025
Establishment and Validation of a Machine-Learning Prediction Nomogram Based on Lymphocyte Subtyping for Intra-Abdominal Candidiasis in Septic Patients.
A recent study developed a nomogram using lymphocyte subtyping to predict intra-abdominal candidiasis in septic patients. ๐๐ฉบ
January 22, 2025
Clinical Microbiology: where do we stand?
Clinical microbiology has evolved significantly, influenced by globalization and new technologies. Key advancements include molecular biology and AI. ๐ฆ ๐ฌ
January 17, 2025
Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats.
Medical history can predict disease onset and aid in responding to health threats like COVID-19. ๐๐ฉบ
January 12, 2025